ClausPhD Student
Agile Knowledge Engineering and Semantic Web (AKSW)
University of Leipzig

Profiles: LinkedInGoogle Scholar, DBLP

Hainstraße 11, 04109 Leipzig
cstadler@informatik.uni-leipzig.de
Phone: +49-341-9732292

 

Short CV


Claus Stadler is a PhD Student at the University of Leipzig. Claus’s research interests are in the area of Geospatial Data Lifecycle.

Research Interests


  • Ontology Learning
  • Geospatial Data Lifecycle

Publications


2017

  • C. Stadler and J. Lehmann, “JPA Criteria Queries over RDF Data,” in Workshop on Querying the Web of Data co-located with the Extended Semantic Web Conference, 2017.
    [BibTeX] [Download PDF]
    @InProceedings{quweda_jpa,
    Title = {JPA Criteria Queries over RDF Data},
    Author = {Claus Stadler and Jens Lehmann},
    Booktitle = {Workshop on Querying the Web of Data co-located with the Extended Semantic Web Conference},
    Year = {2017},
    Keywords = {2017 lehmann group_aksw MOLE stadler},
    Url = {http://jens-lehmann.org/files/2017/quweda_jpa.pdf}
    }

  • H. Petzka, C. Stadler, G. Katsimpras, B. Haarmann, and J. Lehmann, “Benchmarking Faceted Browsing Capabilities of Triplestores,” in 13th International Conference on Semantic Systems (SEMANTiCS 2017), September 11-14 2017, Amsterdam, Netherlands, 2017.
    [BibTeX] [Download PDF]
    @InProceedings{petzka-semantics-facets,
    Title = {Benchmarking Faceted Browsing Capabilities of Triplestores},
    Author = {Petzka, Henning and Stadler, Claus and Katsimpras, Georgios and Haarmann, Bastian and Lehmann, Jens},
    Booktitle = {13th International Conference on Semantic Systems (SEMANTiCS 2017), September 11-14 2017, Amsterdam, Netherlands},
    Year = {2017},
    Added-at = {2017-08-31T16:24:48.000+0200},
    Biburl = {https://www.bibsonomy.org/bibtex/24cba1ee5aff5a8f53760660aa977adfb/aksw},
    Interhash = {15573d7d66c8917d8f0f7adc05832b98},
    Intrahash = {4cba1ee5aff5a8f53760660aa977adfb},
    Keywords = {2017 group_aksw hobbit lehmann mole projecthobbit sda stadler},
    Timestamp = {2017-08-31T16:24:48.000+0200},
    Url = {http://jens-lehmann.org/files/2017/semantics_faceted_browsing.pdf}
    }

  • J. Lehmann, G. Sejdiu, L. Bühmann, P. Westphal, C. Stadler, I. Ermilov, S. Bin, N. Chakraborty, M. Saleem, A. N. Ngonga, and H. Jabeen, “Distributed Semantic Analytics using the SANSA Stack,” in Proceedings of 16th International Semantic Web Conference – Resources Track (ISWC’2017), 2017.
    [BibTeX] [Abstract] [Download PDF]
    Over the past decade, vast amounts of machine-readable structured information have become available through the automation of research processes as well as the increasing popularity of knowledge graphs and semantic technologies. A major research challenge today is to perform scalable analysis of large-scale knowledge graphs to facilitate applications like link prediction, knowledge base completion and question answering. Most analytics approaches, which scale horizontally (i.e., can be executed in a distributed environment) work on simple feature-vector-based input rather than more expressive knowledge structures. On the other hand, analytics methods which exploit expressive structures usually do not scale well to very large knowledge bases. This software framework paper describes the ongoing project Semantic Analytics Stack (SANSA) which supports expressive and scalable semantic analytics by providing functionality for distributed in-memory computing for RDF data. The library provides APIs for RDF storage, querying using SPARQL and forward chaining inference. It includes several machine learning algorithms for RDF knowledge graphs. The article describes the vision, architecture and use cases of SANSA.

    @InProceedings{lehmann-2017-sansa-iswc,
    Title = {Distributed {S}emantic {A}nalytics using the {SANSA} {S}tack},
    Author = {Lehmann, Jens and Sejdiu, Gezim and B\"uhmann, Lorenz and Westphal, Patrick and Stadler, Claus and Ermilov, Ivan and Bin, Simon and Chakraborty, Nilesh and Saleem, Muhammad and Ngonga, Axel-Cyrille Ngomo and Jabeen, Hajira},
    Booktitle = {Proceedings of 16th International Semantic Web Conference - Resources Track (ISWC'2017)},
    Year = {2017},
    Abstract = {Over the past decade, vast amounts of machine-readable structured information have become available through the automation of research processes as well as the increasing popularity of knowledge graphs and semantic technologies. A major research challenge today is to perform scalable analysis of large-scale knowledge graphs to facilitate applications like link prediction, knowledge base completion and question answering. Most analytics approaches, which scale horizontally (i.e., can be executed in a distributed environment) work on simple feature-vector-based input rather than more expressive knowledge structures. On the other hand, analytics methods which exploit expressive structures usually do not scale well to very large knowledge bases. This software framework paper describes the ongoing project Semantic Analytics Stack (SANSA) which supports expressive and scalable semantic analytics by providing functionality for distributed in-memory computing for RDF data. The library provides APIs for RDF storage, querying using SPARQL and forward chaining inference. It includes several machine learning algorithms for RDF knowledge graphs. The article describes the vision, architecture and use cases of SANSA.},
    Added-at = {2017-07-17T14:46:26.000+0200},
    Biburl = {https://www.bibsonomy.org/bibtex/21ae18ac13750f9cf74227fe0a7c50104/aksw},
    Interhash = {eb99dff0ce6a9cdbce2c4cbea115fbee},
    Intrahash = {1ae18ac13750f9cf74227fe0a7c50104},
    Keywords = {2017 bde buehmann chakraborty group_aksw iermilov lehmann ngonga saleem sbin sejdiu stadler westphal},
    Owner = {iermilov},
    Timestamp = {2017-07-17T14:46:26.000+0200},
    Url = {http://svn.aksw.org/papers/2017/ISWC_SANSA_SoftwareFramework/public.pdf}
    }

  • I. Ermilov, J. Lehmann, G. Sejdiu, L. Bühmann, P. Westphal, C. Stadler, S. Bin, N. Chakraborty, H. Petzka, M. Saleem, A. N. Ngonga, and H. Jabeen, “The Tale of Sansa Spark,” in Proceedings of 16th International Semantic Web Conference, Poster & Demos, 2017.
    [BibTeX] [Download PDF]
    @InProceedings{iermilov-2017-sansa-iswc-demo,
    Title = {The {T}ale of {S}ansa {S}park},
    Author = {Ermilov, Ivan and Lehmann, Jens and Sejdiu, Gezim and B\"uhmann, Lorenz and Westphal, Patrick and Stadler, Claus and Bin, Simon and Chakraborty, Nilesh and Petzka, Henning and Saleem, Muhammad and Ngonga, Axel-Cyrille Ngomo and Jabeen, Hajira},
    Booktitle = {Proceedings of 16th International Semantic Web Conference, Poster \& Demos},
    Year = {2017},
    Added-at = {2017-08-31T16:24:45.000+0200},
    Biburl = {https://www.bibsonomy.org/bibtex/2f9b5a69afa4755944984ae63f59ad146/aksw},
    Interhash = {ebabfe08f697304b399c9b6b89f2829e},
    Intrahash = {f9b5a69afa4755944984ae63f59ad146},
    Keywords = {2017 bde buehmann chakraborty group_aksw iermilov lehmann mole ngonga saleem sbin sejdiu stadler westphal},
    Owner = {iermilov},
    Timestamp = {2017-08-31T16:24:45.000+0200},
    Url = {http://jens-lehmann.org/files/2017/iswc_pd_sansa.pdf}
    }

  • M. Saleem, C. Stadler, Q. Mehmood, J. Lehmann, and A. N. Ngomo, “SQCFramework: SPARQL Query Containment Benchmark Generation Framework,” in K-CAP 2017: Knowledge Capture Conference, 2017.
    [BibTeX] [Download PDF]
    @inproceedings{Saleem2017SQC,
    added-at = {2017-12-01T09:58:07.000+0100},
    author = {Saleem, Muhammad and Stadler, Claus and Mehmood, Qaiser and Lehmann, Jens and Ngomo, Axel-Cyrille Ngonga},
    biburl = {https://www.bibsonomy.org/bibtex/2a4d1b8ca008f62987170266e6eae5f52/aksw},
    booktitle = {K-CAP 2017: Knowledge Capture Conference},
    interhash = {52e674a10e916763bca3147fd8d4717e},
    intrahash = {a4d1b8ca008f62987170266e6eae5f52},
    keywords = {group_aksw lehmann ngonga project-hobbit stadler},
    organization = {ACM},
    timestamp = {2017-12-01T09:58:07.000+0100},
    title = {{SQCFramework}: {SPARQL} Query Containment Benchmark Generation Framework},
    url = {http://jens-lehmann.org/files/2017/kcap_sqc.pdf},
    year = 2017
    }

2015

  • C. Stadler, J. Unbehauen, P. Westphal, M. A. Sherif, and J. Lehmann, “Simplified RDB2RDF Mapping,” in Proceedings of the 8th Workshop on Linked Data on the Web (LDOW2015), Florence, Italy, 2015.
    [BibTeX] [Abstract] [Download PDF]
    The combination of the advantages of widely used relational databases and semantic technologies has attracted significant research over the past decade. In particular, mapping languages for the conversion of databases to RDF knowledge bases have been developed and standardized in the form of R2RML. In this article, we first review those mapping languages and then devise work towards a unified formal model for them. Based on this, we present the Sparqlification Mapping Language (SML), which provides an intuitive way to declare mappings based on SQL VIEWS and SPARQL construct queries. We show that SML has the same expressivity as R2RML by enumerating the language features and show the correspondences, and we outline how one syntax can be converted into the other. A conducted user study for this paper juxtaposing SML and R2RML provides evidence that SML is a more compact syntax which is easier to understand and read and thus lowers the barrier to offer SPARQL access to relational databases.

    @InProceedings{sml,
    Title = {Simplified {RDB2RDF} Mapping},
    Author = {Claus Stadler and Joerg Unbehauen and Patrick Westphal and Mohamed Ahmed Sherif and Jens Lehmann},
    Booktitle = {Proceedings of the 8th Workshop on Linked Data on the Web (LDOW2015), Florence, Italy},
    Year = {2015},
    Abstract = {The combination of the advantages of widely used relational databases and semantic technologies has attracted significant research over the past decade. In particular, mapping languages for the conversion of databases to RDF knowledge bases have been developed and standardized in the form of R2RML. In this article, we first review those mapping languages and then devise work towards a unified formal model for them. Based on this, we present the Sparqlification Mapping Language (SML), which provides an intuitive way to declare mappings based on SQL VIEWS and SPARQL construct queries. We show that SML has the same expressivity as R2RML by enumerating the language features and show the correspondences, and we outline how one syntax can be converted into the other. A conducted user study for this paper juxtaposing SML and R2RML provides evidence that SML is a more compact syntax which is easier to understand and read and thus lowers the barrier to offer SPARQL access to relational databases.},
    Bdsk-url-1 = {svn.aksw.org/papers/2015/LDOW_SML/paper-camery-ready_public.pdf},
    Keywords = {2015 group_aksw group_mole mole stadler lehmann sherif sys:relevantFor:geoknow geoknow peer-reviewed MOLE westphal},
    Url = {svn.aksw.org/papers/2015/LDOW_SML/paper-camery-ready_public.pdf}
    }

  • M. Martin, K. Abicht, C. Stadler, S. Auer, A. Ngonga Ngomo, and T. Soru, “CubeViz — Exploration and Visualization of Statistical Linked Data,” in Proceedings of the 24th International Conference on World Wide Web, WWW 2015, 2015.
    [BibTeX] [Abstract]
    CubeViz is a flexible exploration and visualization platform for statistical data represented adhering to the RDF Data Cube vocabulary. If statistical data is provided adhering to the Data Cube vocabulary, CubeViz exhibits a faceted browsing widget allowing to interactively filter observations to be visualized in charts. Based on the selected structural part, CubeViz offers suitable chart types and options for configuring the visualization by users. In this demo we present the CubeViz visualization architecture and components, sketch its underlying API and the libraries used to generate the desired output. By employing advanced introspection, analysis and visualization bootstrapping techniques CubeViz hides the schema complexity of the encoded data in order to support a user-friendly exploration experience.

    @InProceedings{martin-www-2015-demo-cubeviz,
    Title = {CubeViz -- Exploration and Visualization of Statistical Linked Data},
    Author = {Martin, Michael and Abicht, Konrad and Stadler, Claus and Auer, S{\"o}ren and Ngonga Ngomo, Axel-C. and Soru, Tommaso},
    Booktitle = {Proceedings of the 24th International Conference on World Wide Web, WWW 2015},
    Year = {2015},
    Abstract = {CubeViz is a flexible exploration and visualization platform for statistical data represented adhering to the RDF Data Cube vocabulary. If statistical data is provided adhering to the Data Cube vocabulary, CubeViz exhibits a faceted browsing widget allowing to interactively filter observations to be visualized in charts. Based on the selected structural part, CubeViz offers suitable chart types and options for configuring the visualization by users. In this demo we present the CubeViz visualization architecture and components, sketch its underlying API and the libraries used to generate the desired output. By employing advanced introspection, analysis and visualization bootstrapping techniques CubeViz hides the schema complexity of the encoded data in order to support a user-friendly exploration experience.},
    Bdsk-url-1 = {http://svn.aksw.org/papers/2015/WWW_Demo_CubeViz/public.pdf},
    Keywords = {2015 martin stadler abicht group_aksw sys:relevantFor:geoknow geoknow topic_Exploration sys:relevantFor:infai sys:relevantFor:bis ontowiki cubeviz ES},
    Language = {English}
    }

  • J. Lehmann, S. Athanasiou, A. Both, A. Garcia-Rojas, G. Giannopoulos, D. Hladky, K. Hoeffner, J. J. L. Grange, A. N. Ngomo, M. A. Sherif, C. Stadler, M. Wauer, P. Westphal, and V. Zaslawski, “Managing Geospatial Linked Data in the GeoKnow Project.” , 2015, pp. 51-78.
    [BibTeX] [Download PDF]
    @InBook{ios_geoknow_chapter,
    Title = {Managing Geospatial Linked Data in the GeoKnow Project},
    Author = {Jens Lehmann and Spiros Athanasiou and Andreas Both and Alejandra Garcia-Rojas and Giorgos Giannopoulos and Daniel Hladky and Konrad Hoeffner and Jon Jay Le Grange and Axel-Cyrille Ngonga Ngomo and Mohamed Ahmed Sherif and Claus Stadler and Matthias Wauer and Patrick Westphal and Vadim Zaslawski},
    Pages = {51--78},
    Year = {2015},
    Series = {Studies on the Semantic Web},
    Keywords = {2015 group_aksw sys:relevantFor:infai sys:relevantFor:bis sys:relevantFor:geoknow lehmann ngonga MOLE sherif hoeffner geoknow wauer westphal},
    Url = {http://jens-lehmann.org/files/2015/ios_geoknow_chapter.pdf}
    }

  • A. Garcia-Rojas, D. Hladky, M. Wauer, R. Isele, C. Stadler, and J. Lehmann, “The GeoKnow Generator Workbench: An Integration Platform for Geospatial Data,” in Proceedings of the 3rd International Workshop on Semantic Web Enterprise Adoption and Best Practice, 2015.
    [BibTeX]
    @InProceedings{wasabi_generator,
    Title = {The GeoKnow Generator Workbench: An Integration Platform for Geospatial Data},
    Author = {Alejandra Garcia-Rojas and Daniel Hladky and Matthias Wauer and Robert Isele and Claus Stadler and Jens Lehmann},
    Booktitle = {Proceedings of the 3rd International Workshop on Semantic Web Enterprise Adoption and Best Practice},
    Year = {2015},
    Keywords = {2015 ontology group_aksw dllearner MOLE sys:relevantFor:infai sys:relevantFor:bis sys:relevantFor:geoknow topic_EvolutionRepair lehmann geoknow wauer stadler}
    }

  • J. Lehmann, S. Athanasiou, A. Both, L. Buehmann, A. Garcia-Rojas, G. Giannopoulos, D. Hladky, K. Hoeffner, J. J. L. Grange, A. N. Ngomo, R. Pietzsch, R. Isele, M. A. Sherif, C. Stadler, M. Wauer, and P. Westphal, “The GeoKnow Handbook,” 2015.
    [BibTeX] [Download PDF]
    @TechReport{geoknow_handbook,
    Title = {The {G}eo{K}now Handbook},
    Author = {Jens Lehmann and Spiros Athanasiou and Andreas Both and Lorenz Buehmann and Alejandra Garcia-Rojas and Giorgos Giannopoulos and Daniel Hladky and Konrad Hoeffner and Jon Jay Le Grange and Axel-Cyrille Ngonga Ngomo and Rene Pietzsch and Robert Isele and Mohamed Ahmed Sherif and Claus Stadler and Matthias Wauer and Patrick Westphal},
    Year = {2015},
    Keywords = {2015 group_aksw sys:relevantFor:infai sys:relevantFor:bis sys:relevantFor:geoknow lehmann ngonga MOLE sherif hoeffner geoknow westphal buehmann},
    Url = {http://jens-lehmann.org/files/2015/geoknow_handbook.pdf}
    }

  • C. Stadler, N. Arndt, M. Martin, and J. Lehmann, “RDF Editing on the Web with REX,” in SEMANTICS 2015, 2015.
    [BibTeX] [Abstract] [Download PDF]
    While several tools for simplifying the task of visualizing (SPARQL accessible) RDF data on the Web are available today, there is a lack of corresponding tools for exploiting standard HTML forms directly for RDF editing. The few related existing systems roughly fall in the categories of (a) applications that are not aimed at being reused as components, (b) form generators, which automatically create forms from a given schema — possibly derived from instance data — or (c) form template processors which create forms from a manually created specification. Furthermore, these systems usually come with their own widget library, which can only be extended by wrapping existing widgets. In this paper, we present the AngularJS-based \emph{Rdf Edit eXtension} (REX) system, which facilitates the enhancement of standard HTML forms as well as many existing AngularJS widgets with RDF editing support by means of a set of HTML attributes. We demonstrate our system though the realization of several usage scenarios.

    @InProceedings{rex_pd,
    Title = {RDF Editing on the Web with REX},
    Author = {Claus Stadler and Natanael Arndt and Michael Martin and Jens Lehmann},
    Booktitle = {SEMANTICS 2015},
    Year = {2015},
    Month = sep,
    Publisher = {ACM},
    Series = {SEM '15},
    Abstract = {While several tools for simplifying the task of visualizing (SPARQL accessible) RDF data on the Web are available today, there is a lack of corresponding tools for exploiting standard HTML forms directly for RDF editing. The few related existing systems roughly fall in the categories of (a) applications that are not aimed at being reused as components, (b) form generators, which automatically create forms from a given schema -- possibly derived from instance data -- or (c) form template processors which create forms from a manually created specification. Furthermore, these systems usually come with their own widget library, which can only be extended by wrapping existing widgets. In this paper, we present the AngularJS-based \emph{Rdf Edit eXtension} (REX) system, which facilitates the enhancement of standard HTML forms as well as many existing AngularJS widgets with RDF editing support by means of a set of HTML attributes. We demonstrate our system though the realization of several usage scenarios.},
    Keywords = {group_aksw sys:relevantFor:infai sys:relevantFor:bis sys:relevantFor:geoknow 2015 lehmann mole stadler arndt martin es},
    Location = {Vienna, Austria},
    Url = {http://jens-lehmann.org/files/2015/semantics_pd_rex.pdf}
    }

2014

  • C. Stadler, M. Martin, and S. Auer, “Exploring the Web of Spatial Data with Facete,” in Companion proceedings of 23rd International World Wide Web Conference (WWW), 2014, pp. 175-178.
    [BibTeX]
    @InProceedings{stadler-www,
    Title = {{Exploring the Web of Spatial Data with Facete}},
    Author = {Claus Stadler and Michael Martin and S{\"o}ren Auer},
    Booktitle = {Companion proceedings of 23rd International World Wide Web Conference (WWW)},
    Year = {2014},
    Pages = {175--178},
    Keywords = {2014 event_www group_aksw sys:relevantFor:infai sys:relevantFor:bis lod2page sys:relevantFor:lod2 sys:relevantFor:geoknow ES martin stadler auer topic_Exploration facete},
    Owner = {Michael}
    }

  • P. Westphal, C. Stadler, and J. Lehmann, “Quality Assurance of RDB2RDF Mappings,” 2014.
    [BibTeX] [Download PDF]
    @TechReport{rdb2rdf_qa,
    Title = {Quality Assurance of RDB2RDF Mappings},
    Author = {Patrick Westphal and Claus Stadler and Jens Lehmann},
    Year = {2014},
    Bdsk-url-1 = {http://svn.aksw.org/papers/2014/report_QA_RDB2RDF/public.pdf},
    Institute = {University of Leipzig},
    Keywords = {2014 group_aksw MOLE sys:relevantFor:infai sys:relevantFor:bis lehmann westphal stadler},
    Url = {http://svn.aksw.org/papers/2014/report_QA_RDB2RDF/public.pdf}
    }

  • C. Mader, M. Martin, and C. Stadler, “Facilitating the Exploration and Visualization of Linked Data,” in Linked Open Data—Creating Knowledge Out of Interlinked Data, S. Auer, V. Bryl, and S. Tramp, Eds., Springer International Publishing, 2014, pp. 90-107. doi:10.1007/978-3-319-09846-3_5
    [BibTeX] [Abstract] [Download PDF]
    The creation and the improvement of tools that cover exploratory and visualization tasks for Linked Data were one of the major goals focused in the LOD2 project. Tools that support those tasks are regarded as essential for the Web of Data, since they can act as a user-oriented starting point for data customers. During the project, several development efforts were made, whose results either facilitate the exploration and visualization directly (such as OntoWiki, the Pivot Browser) or can be used to support such tasks. In this chapter we present the three selected solutions rsine, CubeViz and Facete.

    @InCollection{LOD2Book-ExplorationVisualization,
    Title = {Facilitating the Exploration and Visualization of Linked Data},
    Author = {Mader, Christian and Martin, Michael and Stadler, Claus},
    Booktitle = {Linked Open Data---Creating Knowledge Out of Interlinked Data},
    Publisher = {Springer International Publishing},
    Year = {2014},
    Editor = {Auer, S{\"o}ren and Bryl, Volha and Tramp, Sebastian},
    Pages = {90-107},
    Series = {Lecture Notes in Computer Science},
    Abstract = {The creation and the improvement of tools that cover exploratory and visualization tasks for Linked Data were one of the major goals focused in the LOD2 project. Tools that support those tasks are regarded as essential for the Web of Data, since they can act as a user-oriented starting point for data customers. During the project, several development efforts were made, whose results either facilitate the exploration and visualization directly (such as OntoWiki, the Pivot Browser) or can be used to support such tasks. In this chapter we present the three selected solutions rsine, CubeViz and Facete.},
    Bdsk-url-1 = {http://dx.doi.org/10.1007/978-3-319-09846-3_5},
    Doi = {10.1007/978-3-319-09846-3_5},
    ISBN = {978-3-319-09845-6},
    Keywords = {2014 martin stadler sys:relevantFor:lod2 lod2page group_aksw sys:relevantFor:geoknow topic_Exploration sys:relevantFor:infai sys:relevantFor:bis ontowiki cubeviz ES facete},
    Language = {English},
    Url = {http://dx.doi.org/10.1007/978-3-319-09846-3_5}
    }

  • D. Lukovnikov, C. Stadler, and J. Lehmann, “LD viewer-linked data presentation framework,” in Proceedings of the 10th International Conference on Semantic Systems, 2014, pp. 124-131.
    [BibTeX]
    @InProceedings{ld_viewer,
    Title = {LD viewer-linked data presentation framework},
    Author = {Lukovnikov, Denis and Stadler, Claus and Lehmann, Jens},
    Booktitle = {Proceedings of the 10th International Conference on Semantic Systems},
    Year = {2014},
    Organization = {ACM},
    Pages = {124--131},
    Keywords = {2014 group_aksw MOLE sys:relevantFor:infai sys:relevantFor:bis sys:relevantFor:geoknow topic_Exploration lehmann stadler}
    }

  • J. J. L. Grange, J. Lehmann, S. Athanasiou, A. G. Rojas, G. Giannopoulos, D. Hladky, R. Isele, A. Ngonga Ngomo, M. A. Sherif, C. Stadler, and M. Wauer, “The GeoKnow Generator: Managing Geospatial Data in the Linked Data Web,” in Proceedings of the Linking Geospatial Data Workshop, 2014.
    [BibTeX] [Download PDF]
    @InProceedings{lgd_geoknow_generator,
    Title = {The GeoKnow Generator: Managing Geospatial Data in the Linked Data Web},
    Author = {Jon Jay Le Grange and Jens Lehmann and Spiros Athanasiou and Alejandra Garcia Rojas and Giorgos Giannopoulos and Daniel Hladky and Robert Isele and Axel-Cyrille {Ngonga Ngomo} and Mohamed Ahmed Sherif and Claus Stadler and Matthias Wauer},
    Booktitle = {Proceedings of the Linking Geospatial Data Workshop},
    Year = {2014},
    Bdsk-url-1 = {http://jens-lehmann.org/files/2014/lgd_geoknow_generator.pdf},
    Keywords = {2014 group_aksw group_mole mole ngonga lehmann sherif topic_Lifecycle sys:relevantFor:infai sys:relevantFor:bis sys:relevantFor:lod2 sys:relevantFor:geoknow geoknow lod lod2page peer-reviewed MOLE simba wauer stadler},
    Owner = {jl},
    Timestamp = {2014.04.12},
    Url = {http://jens-lehmann.org/files/2014/lgd_geoknow_generator.pdf}
    }

  • D. Lukovnikov, C. Stadler, D. Kontokostas, S. Hellmann, and J. Lehmann, “DBpedia Viewer – An Integrative Interface for DBpedia leveraging the DBpedia Service Eco System,” in Proc. of the Linked Data on the Web 2014 Workshop, 2014.
    [BibTeX] [Download PDF]
    @InProceedings{ldow_dbpedia_viewer,
    Title = {DBpedia Viewer - An Integrative Interface for DBpedia leveraging the DBpedia Service Eco System},
    Author = {Denis Lukovnikov and Claus Stadler and Dimitris Kontokostas and Sebastian Hellmann and Jens Lehmann},
    Booktitle = {Proc. of the Linked Data on the Web 2014 Workshop},
    Year = {2014},
    Bdsk-url-1 = {http://jens-lehmann.org/files/2014/ldow_dbpedia_viewer.pdf},
    Keywords = {2014 group_aksw MOLE sys:relevantFor:infai sys:relevantFor:bis sys:relevantFor:geoknow topic_Exploration lehmann hellmann kilt kontokostas stadler},
    Owner = {jl},
    Timestamp = {2014.04.12},
    Url = {http://jens-lehmann.org/files/2014/ldow_dbpedia_viewer.pdf}
    }

  • C. Stadler, P. Westphal, and J. Lehmann, “Jassa – A JavaScript suite for SPARQL-based faceted search,” in Proceedings of the ISWC Developers Workshop 2014, co-located with the 13th International Semantic Web Conference (ISWC 2014), Riva del Garda, Italy, October 19, 2014., 2014, pp. 31-36.
    [BibTeX] [Download PDF]
    @InProceedings{jassa,
    Title = {Jassa - {A} JavaScript suite for SPARQL-based faceted search},
    Author = {Claus Stadler and Patrick Westphal and Jens Lehmann},
    Booktitle = {Proceedings of the {ISWC} Developers Workshop 2014, co-located with the 13th International Semantic Web Conference {(ISWC} 2014), Riva del Garda, Italy, October 19, 2014.},
    Year = {2014},
    Pages = {31--36},
    Bdsk-url-1 = {http://ceur-ws.org/Vol-1268/paper6.pdf},
    Bibsource = {dblp computer science bibliography, http://dblp.org},
    Biburl = {http://dblp.uni-trier.de/rec/bib/conf/semweb/StadlerWL14},
    Crossref = {DBLP:conf/semweb/2014dev},
    Keywords = {2014 group_aksw geoknow topic_geospatial MOLE sys:relevantFor:infai sys:relevantFor:bis sys:relevantFor:geoknow lehmann westphal stadler},
    Timestamp = {Mon, 27 Oct 2014 20:39:35 +0100},
    Url = {http://ceur-ws.org/Vol-1268/paper6.pdf}
    }

2013

  • S. Shekarpour, S. Auer, A. Ngonga Ngomo, D. Gerber, S. Hellmann, and C. Stadler, “Generating SPARQL queries using templates,” in WIAS journal,Vol. 11, No. 3, 2013., 2013.
    [BibTeX]
    @InProceedings{SHE+journal2013,
    Title = {Generating SPARQL queries using templates},
    Author = {Saeedeh Shekarpour and S{\"o}ren Auer and Axel-Cyrille {Ngonga Ngomo} and Daniel Gerber and Sebastian Hellmann and Claus Stadler},
    Booktitle = {WIAS journal,Vol. 11, No. 3, 2013.},
    Year = {2013},
    Keywords = {group_aksw SIMBA sys:relevantFor:infai sys:relevantFor:bis stadler ngonga shekarpour sina hellmann kilt MOLE simba topic_Search sys:relevantFor:geoknow},
    Owner = {shekarpour}
    }

  • M. Martin, C. Stadler, P. Frischmuth, and J. Lehmann, “Increasing the Financial Transparency of European Commission Project Funding,” Semantic Web Journal, vol. Special Call for Linked Dataset descriptions, iss. 2, pp. 157-164, 2013.
    [BibTeX] [Abstract] [Download PDF]
    The Financial Transparency System (FTS) of the European Commission contains information about grants for European Union projects starting from 2007. It allows users to get an overview on EU funding, including information on beneficiaries as well as the amount and type of expenditure and information on the responsible EU department. The original dataset is freely available on the European Commission website, where users can query the data using an HTML form and download it in CSV and most recently XML format. In this article, we describe the transformation of this data to RDF and its interlinking with other datasets. We show that this allows interesting queries over the data, which were very difficult without this conversion. The main benefit of the dataset is an increased financial transparency of EU project funding. The RDF version of the FTS dataset will become part of the EU Open Data Portal and eventually be hosted and maintained by the European Union itself.

    @Article{martin-fts,
    Title = {Increasing the Financial Transparency of European Commission Project Funding},
    Author = {Michael Martin and Claus Stadler and Philipp Frischmuth and Jens Lehmann},
    Journal = {Semantic Web Journal},
    Year = {2013},
    Number = {2},
    Pages = {157-164},
    Volume = {Special Call for Linked Dataset descriptions},
    Abstract = {The Financial Transparency System (FTS) of the European Commission contains information about grants for European Union projects starting from 2007. It allows users to get an overview on EU funding, including information on beneficiaries as well as the amount and type of expenditure and information on the responsible EU department. The original dataset is freely available on the European Commission website, where users can query the data using an HTML form and download it in CSV and most recently XML format. In this article, we describe the transformation of this data to RDF and its interlinking with other datasets. We show that this allows interesting queries over the data, which were very difficult without this conversion. The main benefit of the dataset is an increased financial transparency of EU project funding. The RDF version of the FTS dataset will become part of the EU Open Data Portal and eventually be hosted and maintained by the European Union itself.},
    Bdsk-url-1 = {http://www.semantic-web-journal.net/system/files/swj435.pdf},
    Ee = {http://dx.doi.org/10.3233/SW-130116},
    Keywords = {2013 ES MOLE group_aksw martin lehmann auer stadler sys:relevantFor:infai sys:relevantFor:bis sys:relevantFor:lod2 sys:relevantFor:geoknow lod2page peer-reviewed fts ontowiki frischmuth},
    Owner = {micha},
    Url = {http://www.semantic-web-journal.net/system/files/swj435.pdf}
    }

  • I. Ermilov, S. Auer, and C. Stadler, “CSV2RDF: User-Driven CSV to RDF Mass Conversion Framework,” in Proceedings of the ISEM ’13, September 04 – 06 2013, Graz, Austria, 2013.
    [BibTeX] [Abstract] [Download PDF]
    Governments and public administrations started recently to publish large amounts of structured data on the Web, mostly in the form of tabular data such as CSV files or Excel sheets. Various tools and projects have been launched aiming at facilitating the lifting of tabular data to reach semantically structured and linked data. However, none of these tools supported a truly incremental, pay-as-you-go data publication and mapping strategy, which enables effort sharing between data owners, community experts and consumers. In this article, we present an approach for enabling the user-driven semantic mapping of large amounts tabular data. We devise a simple mapping language for tabular data, which is easy to understand even for casual users, but expressive enough to cover the vast majority of potential tabular mappings use cases. We outline a formal approach for mapping tabular data to RDF. Default mappings are automatically created and can be revised by the community using a semantic wiki. The mappings are executed using a sophisticated streaming RDB2RDF conversion. We report about the deployment of our approach at the Pan-European data portal PublicData.eu, where we transformed and enriched almost 10,000 datasets accounting for 7.3 billion triples.

    @InProceedings{ermilov-ivan-2013-isem,
    Title = {CSV2RDF: User-Driven CSV to RDF Mass Conversion Framework},
    Author = {Ivan Ermilov and S{\"o}ren Auer and Claus Stadler},
    Booktitle = {Proceedings of the ISEM '13, September 04 - 06 2013, Graz, Austria},
    Year = {2013},
    Abstract = {Governments and public administrations started recently to publish large amounts of structured data on the Web, mostly in the form of tabular data such as CSV files or Excel sheets. Various tools and projects have been launched aiming at facilitating the lifting of tabular data to reach semantically structured and linked data. However, none of these tools supported a truly incremental, pay-as-you-go data publication and mapping strategy, which enables effort sharing between data owners, community experts and consumers. In this article, we present an approach for enabling the user-driven semantic mapping of large amounts tabular data. We devise a simple mapping language for tabular data, which is easy to understand even for casual users, but expressive enough to cover the vast majority of potential tabular mappings use cases. We outline a formal approach for mapping tabular data to RDF. Default mappings are automatically created and can be revised by the community using a semantic wiki. The mappings are executed using a sophisticated streaming RDB2RDF conversion. We report about the deployment of our approach at the Pan-European data portal PublicData.eu, where we transformed and enriched almost 10,000 datasets accounting for 7.3 billion triples.},
    Bdsk-url-1 = {http://svn.aksw.org/papers/2013/ISemantics_CSV2RDF/public.pdf},
    Keywords = {group_aksw sys:relevantFor:infai sys:relevantFor:bis sys:relevantFor:lod2 auer stadler iermilov 2013},
    Url = {http://svn.aksw.org/papers/2013/ISemantics_CSV2RDF/public.pdf}
    }

  • S. Auer, J. Lehmann, A. N. Ngomo, C. Stadler, and J. Unbehauen, “Extraktion, Mapping und Verlinkung von Daten im Web,” Datenbank Spektrum, vol. 13, iss. 2, pp. 77-87, 2013.
    [BibTeX] [Download PDF]
    @Article{AUE+13a,
    Title = {Extraktion, Mapping und Verlinkung von Daten im Web},
    Author = {S{\"o}ren Auer and Jens Lehmann and Axel-Cyrille Ngonga Ngomo and Claus Stadler and J{\"o}rg Unbehauen},
    Journal = {Datenbank Spektrum},
    Year = {2013},
    Number = {2},
    Pages = {77-87},
    Volume = {13},
    Bdsk-url-1 = {http://jens-lehmann.org/files/2013/db_spektrum_linked_data.pdf},
    Keywords = {group_aksw sys:relevantFor:infai sys:relevantFor:bis mole simba lehmann MOLE ngonga auer unbehauen stadler linkinglod 2013 sys:relevantFor:geoknow topic_Extraction,topic_Interlinking,topic_Map},
    Owner = {ngonga},
    Timestamp = {2013.07.05},
    Url = {http://jens-lehmann.org/files/2013/db_spektrum_linked_data.pdf}
    }

2012

  • C. Stadler, J. Lehmann, K. Höffner, and S. Auer, “LinkedGeoData: A Core for a Web of Spatial Open Data,” Semantic Web Journal, vol. 3, iss. 4, pp. 333-354, 2012.
    [BibTeX] [Download PDF]
    @Article{SLHA11,
    Title = {LinkedGeoData: A Core for a Web of Spatial Open Data},
    Author = {Claus Stadler and Jens Lehmann and Konrad H{\"o}ffner and S{\"o}ren Auer},
    Journal = {Semantic Web Journal},
    Year = {2012},
    Number = {4},
    Pages = {333-354},
    Volume = {3},
    Bdsk-url-1 = {http://www.semantic-web-journal.net/sites/default/files/swj173_2.pdf},
    Date-modified = {2012-12-02 13:09:43 +0000},
    Keywords = {sys:relevantFor:bis sys:relevantFor:infai stadler lehmann hoeffner auer MOLE lgd 2012 group_aksw},
    Owner = {stadler},
    Timestamp = {2011.09.09},
    Url = {http://jens-lehmann.org/files/2012/linkedgeodata2.pdf}
    }

  • J. Unbehauen, S. Hellmann, S. Auer, and C. Stadler, “Knowledge Extraction from Structured Sources,” in Search Computing – Broadening Web Search, S. Ceri and M. Brambilla, Eds., Springer, 2012, vol. 7538, pp. 34-52.
    [BibTeX] [Download PDF]
    @InCollection{UnbehauenSeCo2012,
    Title = {Knowledge Extraction from Structured Sources},
    Author = {J{\"o}rg Unbehauen and Sebastian Hellmann and S{\"o}ren Auer and Claus Stadler},
    Booktitle = {Search Computing - Broadening Web Search},
    Publisher = {Springer},
    Year = {2012},
    Editor = {Stefano Ceri and Marco Brambilla},
    Pages = {34-52},
    Series = {Lecture Notes in Computer Science},
    Volume = {7538},
    Bdsk-url-1 = {http://svn.aksw.org/papers/2012/SearchComputing_KnowledgeExtraction/public.pdf},
    Ee = {http://dx.doi.org/10.1007/978-3-642-34213-4_3},
    Keywords = {2012 group_aksw sys:relevantFor:infai sys:relevantFor:bis lod2page sys:relevantFor:lod2 MOLE unbehauen hellmann kilt auer stadler},
    Url = {http://svn.aksw.org/papers/2012/SearchComputing_KnowledgeExtraction/public.pdf}
    }

  • J. Unbehauen, C. Stadler, and S. Auer, “Accessing Relational Data on the Web with SparqlMap,” in JIST, 2012.
    [BibTeX] [Download PDF]
    @InProceedings{unbehauen-jist-2012-sparqlmap,
    Title = {Accessing Relational Data on the Web with SparqlMap},
    Author = {J{\"o}rg Unbehauen and Claus Stadler and S{\"o}ren Auer},
    Booktitle = {JIST},
    Year = {2012},
    Bdsk-url-1 = {http://svn.aksw.org/papers/2012/SPARQLComponent/JIST_SparqlMap/public.pdf},
    Date-modified = {2012-12-02 12:54:26 +0000},
    Keywords = {2012 group_aksw event_jist sparqlmap sys:relevantFor:infai sys:relevantFor:bis sys:relevantFor:lod2 peer-reviewed MOLE unbehauen stadler auer},
    Owner = {joerg},
    Timestamp = {2012.11.12},
    Url = {http://svn.aksw.org/papers/2012/SPARQLComponent/JIST_SparqlMap/public.pdf}
    }

  • M. Morsey, J. Lehmann, S. Auer, C. Stadler, and S. Hellmann, “DBpedia and the Live Extraction of Structured Data from Wikipedia,” Program: electronic library and information systems, vol. 46, p. 27, 2012.
    [BibTeX] [Abstract] [Download PDF]
    Purpose – DBpedia extracts structured information from Wikipedia, interlinks it with other knowledge bases and freely publishes the results on the Web using Linked Data and SPARQL. However, the DBpedia release process is heavy-weight and releases are sometimes based on several months old data. DBpedia-Live solves this problem by providing a live synchronization method based on the update stream of Wikipedia. Design/methodology/approach – Wikipedia provides DBpedia with a continuous stream of updates, i.e. a stream of recently updated articles. DBpedia-Live processes that stream on the fly to obtain RDF data and stores the extracted data back to DBpedia. DBpedia-Live publishes the newly added/deleted triples in files, in order to enable synchronization between our DBpedia endpoint and other DBpedia mirrors. Findings – During the realization of DBpedia-Live we learned, that it is crucial to process Wikipedia updates in a priority queue. Recently-updated Wikipedia articles should have the highest priority, over mapping-changes and unmodified pages. An overall finding is that there is a plenty of opportunities arising from the emerging Web of Data for librarians. Practical implications – DBpedia had and has a great effect on the Web of Data and became a crystallization point for it. Many companies and researchers use DBpedia and its public services to improve their applications and research approaches. The DBpedia-Live framework improves DBpedia further by timely synchronizing it with Wikipedia, which is relevant for many use cases requiring up-to-date information. Originality/value – The new DBpedia-Live framework adds new features to the old DBpedia-Live framework, e.g. abstract extraction, ontology changes, and changesets publication.

    @Article{dbpedia_live_2012,
    Title = {{DB}pedia and the {L}ive {E}xtraction of {S}tructured {D}ata from {W}ikipedia},
    Author = {Mohamed Morsey and Jens Lehmann and S{\"o}ren Auer and Claus Stadler and Sebastian Hellmann},
    Journal = {Program: electronic library and information systems},
    Year = {2012},
    Pages = {27},
    Volume = {46},
    Abstract = {Purpose - DBpedia extracts structured information from Wikipedia, interlinks it with other knowledge bases and freely publishes the results on the Web using Linked Data and SPARQL. However, the DBpedia release process is heavy-weight and releases are sometimes based on several months old data. DBpedia-Live solves this problem by providing a live synchronization method based on the update stream of Wikipedia. Design/methodology/approach - Wikipedia provides DBpedia with a continuous stream of updates, i.e. a stream of recently updated articles. DBpedia-Live processes that stream on the fly to obtain RDF data and stores the extracted data back to DBpedia. DBpedia-Live publishes the newly added/deleted triples in files, in order to enable synchronization between our DBpedia endpoint and other DBpedia mirrors. Findings - During the realization of DBpedia-Live we learned, that it is crucial to process Wikipedia updates in a priority queue. Recently-updated Wikipedia articles should have the highest priority, over mapping-changes and unmodified pages. An overall finding is that there is a plenty of opportunities arising from the emerging Web of Data for librarians. Practical implications - DBpedia had and has a great effect on the Web of Data and became a crystallization point for it. Many companies and researchers use DBpedia and its public services to improve their applications and research approaches. The DBpedia-Live framework improves DBpedia further by timely synchronizing it with Wikipedia, which is relevant for many use cases requiring up-to-date information. Originality/value - The new DBpedia-Live framework adds new features to the old DBpedia-Live framework, e.g. abstract extraction, ontology changes, and changesets publication.},
    Bdsk-url-1 = {http://svn.aksw.org/papers/2011/DBpedia_Live/public.pdf},
    Date-modified = {2012-12-02 13:06:10 +0000},
    Keywords = {2012 group_aksw MOLE sys:relevantFor:bis sys:relevantFor:lod2 morsey lehmann auer stadler hellmann kilt},
    Owner = {mohamed},
    Timestamp = {2012.04.13},
    Url = {http://svn.aksw.org/papers/2011/DBpedia_Live/public.pdf}
    }

  • S. Hellmann, J. Lehmann, J. Unbehauen, C. Stadler, T. N. Lam, and M. Strohmaier, “Navigation-induced Knowledge Engineering by Example,” in JIST, 2012.
    [BibTeX] [Download PDF]
    @InProceedings{hellmann-jist-2012-NKE,
    Title = {Navigation-induced Knowledge Engineering by Example},
    Author = {Sebastian Hellmann and Jens Lehmann and J{\"o}rg Unbehauen and Claus Stadler and Thanh Nghia Lam and Markus Strohmaier},
    Booktitle = {JIST},
    Year = {2012},
    Bdsk-url-1 = {http://svn.aksw.org/papers/2012/JIST_NKE/public.pdf},
    Date-modified = {2012-12-05 07:35:57 +0000},
    Keywords = {2012 group_aksw event_jist group_mole MOLE hellmann kilt stadler unbehauen strohmaier sys:relevantFor:infai sys:relevantFor:bis sys:relevantFor:lod2 lod2page peer-reviewed lehmann dllearner},
    Owner = {sebastian},
    Timestamp = {2012.10.19},
    Url = {http://svn.aksw.org/papers/2012/JIST_NKE/public.pdf}
    }

  • S. Auer, L. Bühmann, C. Dirschl, O. Erling, M. Hausenblas, R. Isele, J. Lehmann, M. Martin, P. N. Mendes, B. van Nuffelen, C. Stadler, S. Tramp, and H. Williams, “Managing the life-cycle of Linked Data with the LOD2 Stack,” in Proceedings of International Semantic Web Conference (ISWC 2012), 2012.
    [BibTeX] [Download PDF]
    @InProceedings{Auer+ISWC-2012,
    Title = {Managing the life-cycle of Linked Data with the {LOD2} Stack},
    Author = {S\"{o}ren Auer and Lorenz B{\"u}hmann and Christian Dirschl and Orri Erling and Michael Hausenblas and Robert Isele and Jens Lehmann and Michael Martin and Pablo N. Mendes and Bert van Nuffelen and Claus Stadler and Sebastian Tramp and Hugh Williams},
    Booktitle = {Proceedings of International Semantic Web Conference (ISWC 2012)},
    Year = {2012},
    Note = {22\% acceptance rate},
    Bdsk-url-1 = {http://svn.aksw.org/lod2/Paper/ISWC2012-InUse_LOD2-Stack/public.pdf},
    Date-modified = {2012-12-02 12:25:29 +0000},
    Keywords = {auer buehmann lehmann tramp martin stadler dllearner group_aksw sys:relevantFor:infai sys:relevantFor:bis sys:relevantFor:lod2 lod2page 2012 event_ISWC MOLE ES interlinking quality analysis search exploration browsing extraction storage querying manual revision authoring fusing},
    Owner = {soeren},
    Timestamp = {2012.08.14},
    Url = {http://iswc2012.semanticweb.org/sites/default/files/76500001.pdf}
    }

  • I. Ermilov, C. Stadler, M. Martin, and S. Auer, “Towards an Open-Governmental Data Web,” in Proceedings of the KESW2012, 2012.
    [BibTeX] [Abstract] [Download PDF]
    Up to the present day much effort has been made to publish government data on the Web. However, such data has been published in different formats. For any particular source and use (e.g. exploration, visualization, integration) of such information special applications have to be written. This limits the overall usability of the information provided and makes it diffcult to access information resources. These limitations can be overridden, if the information will be provided using a homogeneous data and access model complying with the Linked Data principles. In this paper we showcase how raw Open Government Data (OGD) from heterogeneous sources can be processed, converted, published and used on the Web of Linked Data. In particular we demonstrate our experience in processing of OGD on two use cases: the Digital Agenda Scoreboard and the Financial Transparency System of the European Commission.

    @InProceedings{ermilov-i-2012--a,
    Title = {{T}owards an {O}pen-{G}overnmental {D}ata {W}eb},
    Author = {Ivan Ermilov and Claus Stadler and Michael Martin and S{\"o}ren Auer},
    Booktitle = {Proceedings of the KESW2012},
    Year = {2012},
    Abstract = {Up to the present day much effort has been made to publish government data on the Web. However, such data has been published in different formats. For any particular source and use (e.g. exploration, visualization, integration) of such information special applications have to be written. This limits the overall usability of the information provided and makes it diffcult to access information resources. These limitations can be overridden, if the information will be provided using a homogeneous data and access model complying with the Linked Data principles. In this paper we showcase how raw Open Government Data (OGD) from heterogeneous sources can be processed, converted, published and used on the Web of Linked Data. In particular we demonstrate our experience in processing of OGD on two use cases: the Digital Agenda Scoreboard and the Financial Transparency System of the European Commission.},
    Bdsk-url-1 = {http://svn.aksw.org/papers/2012/KESW2012_OpenGovWeb/public.pdf},
    Date-modified = {2012-12-02 12:55:23 +0000},
    Keywords = {2012 group_aksw iermilov auer stadler martin sys:relevantFor:infai sys:relevantFor:bis sys:relevantFor:lod2 lod2page peer-reviewed scoreboard fts},
    Timestamp = {2012.10.08},
    Url = {http://svn.aksw.org/papers/2012/KESW2012_OpenGovWeb/public.pdf}
    }

  • C. Guéret, P. T. Groth, C. Stadler, and J. Lehmann, “Assessing Linked Data Mappings Using Network Measures,” in Proceedings of the 9th Extended Semantic Web Conference, 2012, pp. 87-102.
    [BibTeX] [Download PDF]
    @InProceedings{Gueret2012,
    Title = {Assessing Linked Data Mappings Using Network Measures},
    Author = {Christophe Gu{\'e}ret and Paul T. Groth and Claus Stadler and Jens Lehmann},
    Booktitle = {Proceedings of the 9th Extended Semantic Web Conference},
    Year = {2012},
    Pages = {87--102},
    Publisher = {Springer},
    Series = {Lecture Notes in Computer Science},
    Volume = {7295},
    Bdsk-url-1 = {http://jens-lehmann.org/files/2012/linked_mapping_qa.pdf},
    Date-modified = {2012-12-02 13:05:19 +0000},
    Keywords = {2012 group_aksw group_mole event_ESWC sys:relevantFor:infai sys:relevantFor:bis sys:relevantFor:lod2 lod2page peer-reviewed stadler lehmann MOLE},
    Owner = {jl},
    Timestamp = {2012.07.18},
    Url = {http://jens-lehmann.org/files/2012/linked_mapping_qa.pdf}
    }

  • S. Hellmann, C. Stadler, and J. Lehmann, “The German DBpedia: A Sense Repository for Linking Entities.” , 2012.
    [BibTeX]
    @InCollection{Hellmann2012GermanDBpedia,
    Title = {The German {DBpedia}: A Sense Repository for Linking Entities},
    Author = {Hellmann, Sebastian and Stadler, Claus and Lehmann, Jens},
    Year = {2012},
    Bdsk-url-1 = {http://jens-lehmann.org/files/2012/german_dbpedia_sense_repository.pdf},
    Crossref = {Springer-ldl},
    Date-modified = {2012-12-02 13:03:21 +0000},
    Keywords = {2012 hellmann kilt stadler lehmann group_aksw MOLE nif sys:relevantFor:infai sys:relevantFor:bis sys:relevantFor:lod2 lod2page kilt},
    Owner = {jl},
    Timestamp = {2012.07.18}
    }

2011

  • S. Shekarpour, S. Auer, A. Ngonga Ngomo, D. Gerber, S. Hellmann, and C. Stadler, “Keyword-driven SPARQL Query Generation Leveraging Background Knowledge,” in International Conference on Web Intelligence, 2011.
    [BibTeX]
    @InProceedings{SHE+11,
    Title = {Keyword-driven SPARQL Query Generation Leveraging Background Knowledge},
    Author = {Saeedeh Shekarpour and S{\"o}ren Auer and Axel-Cyrille {Ngonga Ngomo} and Daniel Gerber and Sebastian Hellmann and Claus Stadler},
    Booktitle = {International Conference on Web Intelligence},
    Year = {2011},
    Bdsk-url-1 = {http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=6040519&abstractAccess=no&userType=inst},
    Date-modified = {2012-12-02 12:32:31 +0000},
    Keywords = {group_aksw SIMBA sys:relevantFor:infai sys:relevantFor:bis stadler ngonga shekarpour sina hellmann kilt MOLE simba},
    Owner = {ngonga},
    Timestamp = {2011.07.04}
    }

  • C. Guéret, P. Groth, C. Stadler, and J. Lehmann, “Linked Data Quality Assessment through Network Analysis,” in ISWC 2011 Posters and Demos, 2011.
    [BibTeX] [Download PDF]
    @InProceedings{iswc-11-pd-linkqa,
    Title = {Linked Data Quality Assessment through Network Analysis},
    Author = {Christophe Gu{\'e}ret and Paul Groth and Claus Stadler and Jens Lehmann},
    Booktitle = {ISWC 2011 Posters and Demos},
    Year = {2011},
    Bdsk-url-1 = {http://jens-lehmann.org/files/2011/iswc_pd_linkqa.pdf},
    Keywords = {2012 lehmann MOLE group_aksw sys:relevantFor:infai sys:relevantFor:bis sys:relevantFor:lod2 lod2page stadler},
    Owner = {jl},
    Timestamp = {2013.01.02},
    Url = {http://jens-lehmann.org/files/2011/iswc_pd_linkqa.pdf}
    }

2010

  • C. Stadler, M. Martin, J. Lehmann, and S. Hellmann, “Update Strategies for DBpedia Live,” in 6th Workshop on Scripting and Development for the Semantic Web Colocated with ESWC 2010 30th or 31st May, 2010 Crete, Greece, 2010.
    [BibTeX] [Abstract] [Download PDF]
    Wikipedia is one of the largest public information spaces with a huge user community, which collaboratively works on the largest online encyclopedia. Their users add or edit up to 150 thousand wiki pages per day. The DBpedia project extracts RDF from Wikipedia and interlinks it with other knowledge bases. In the DBpedia live extraction mode, Wikipedia edits are instantly processed to update information in DBpedia. Due to the high number of edits and the growth of Wikipedia, the update process has to be very efficient and scalable. In this paper, we present different strategies to tackle this challenging problem and describe how we modified the DBpedia live extraction algorithm to work more efficiently.

    @InProceedings{stadler-c-2010--a,
    Title = {{U}pdate {S}trategies for {DB}pedia {L}ive},
    Author = {Claus Stadler and Michael Martin and Jens Lehmann and Sebastian Hellmann},
    Booktitle = {6th Workshop on Scripting and Development for the Semantic Web Colocated with ESWC 2010 30th or 31st May, 2010 Crete, Greece},
    Year = {2010},
    Abstract = {Wikipedia is one of the largest public information spaces with a huge user community, which collaboratively works on the largest online encyclopedia. Their users add or edit up to 150 thousand wiki pages per day. The DBpedia project extracts RDF from Wikipedia and interlinks it with other knowledge bases. In the DBpedia live extraction mode, Wikipedia edits are instantly processed to update information in DBpedia. Due to the high number of edits and the growth of Wikipedia, the update process has to be very efficient and scalable. In this paper, we present different strategies to tackle this challenging problem and describe how we modified the DBpedia live extraction algorithm to work more efficiently.},
    Bdsk-url-1 = {http://www.semanticscripting.org/SFSW2010/papers/sfsw2010_submission_5.pdf},
    Date-modified = {2012-12-02 12:30:10 +0000},
    Keywords = {sys:relevantFor:bis sys:relevantFor:infai martin stadler hellmann kilt lehmann dbpedia event_sfsw 2010 group_aksw peer-reviewed ontowiki_eu MOLE},
    Owner = {michael},
    Timestamp = {2010.06.24},
    Url = {http://www.semanticscripting.org/SFSW2010/papers/sfsw2010_submission_5.pdf}
    }

2009

  • S. Hellmann, C. Stadler, J. Lehmann, and S. Auer, “DBpedia Live Extraction,” in Proc. of 8th International Conference on Ontologies, DataBases, and Applications of Semantics (ODBASE), 2009, pp. 1209-1223. doi:doi:10.1007/978-3-642-05151-7_33
    [BibTeX] [Download PDF]
    @InProceedings{hellmann_odbase_dbpedia_live_09,
    Title = {{DBpedia} Live Extraction},
    Author = {Sebastian Hellmann and Claus Stadler and Jens Lehmann and S{\"o}ren Auer},
    Booktitle = {Proc. of 8th International Conference on Ontologies, DataBases, and Applications of Semantics (ODBASE)},
    Year = {2009},
    Pages = {1209--1223},
    Series = {Lecture Notes in Computer Science},
    Volume = {5871},
    Bdsk-url-1 = {http://svn.aksw.org/papers/2009/ODBASE_LiveExtraction/dbpedia_live_extraction_public.pdf},
    Bdsk-url-2 = {http://dx.doi.org/10.1007/978-3-642-05151-7_33},
    Biburl = {http://www.bibsonomy.org/bibtex/27f9a95be2bad73ea9ec9e7e48af4c9ec/jens},
    Date-modified = {2012-12-02 13:04:11 +0000},
    Description = {publications Jens Lehmann},
    Doi = {doi:10.1007/978-3-642-05151-7_33},
    Keywords = {2009 event_odbase hellmann kilt stadler lehmann auer group_aksw dbpedia MOLE sys:relevantFor:infai sys:relevantFor:bis peer-reviewed ontowiki_eu},
    Url = {http://svn.aksw.org/papers/2009/ODBASE_LiveExtraction/dbpedia_live_extraction_public.pdf}
    }