Patrick Westphal

@inproceedings{DBLP:conf/ilp/WestphalV021,

title = {A Simulated Annealing Meta-heuristic for Concept Learning in Description 

Logics},

author = {Patrick Westphal and 

Sahar Vahdati and 

Jens Lehmann},

url = {https://doi.org/10.1007/978-3-030-97454-1_19},

doi = {10.1007/978-3-030-97454-1_19},

year  = {2021},

date = {2021-01-01},

booktitle = {Inductive Logic Programming - 30th International Conference, ILP 

2021, Virtual Event, October 25-27, 2021, Proceedings},

volume = {13191},

pages = {266--281},

publisher = {Springer},

series = {Lecture Notes in Computer Science},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/i-semantics/WestphalFKL18,

title = {SPIRIT: A Semantic Transparency and Compliance Stack},

author = {Patrick Westphal and 

Javier D. Fernández and 

Sabrina Kirrane and 

Jens Lehmann},

url = {http://ceur-ws.org/Vol-2198/paper_119.pdf},

year  = {2018},

date = {2018-01-01},

booktitle = {Proceedings of the Posters and Demos Track of the 14th International 

Conference on Semantic Systems co-located with the 14th International 

Conference on Semantic Systems (SEMANTiCS 2018), Vienna, Austria, 

September 10-13, 2018},

volume = {2198},

publisher = {CEUR-WS.org},

series = {CEUR Workshop Proceedings},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/www/BuhmannLWB18,

title = {DL-Learner Structured Machine Learning on Semantic Web Data},

author = {Lorenz Bühmann and 

Jens Lehmann and 

Patrick Westphal and 

Simon Bin},

url = {https://doi.org/10.1145/3184558.3186235},

doi = {10.1145/3184558.3186235},

year  = {2018},

date = {2018-01-01},

booktitle = {Companion of the The Web Conference 2018 on The Web Conference 2018, 

WWW 2018, Lyon , France, April 23-27, 2018},

pages = {467--471},

publisher = {ACM},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/bigdataconf/BinWLN17,

title = {Implementing scalable structured machine learning for big data in 

the SAKE project},

author = {Simon Bin and 

Patrick Westphal and 

Jens Lehmann and 

Axel Ngonga},

url = {https://doi.org/10.1109/BigData.2017.8258073},

doi = {10.1109/BigData.2017.8258073},

year  = {2017},

date = {2017-01-01},

booktitle = {2017 IEEE International Conference on Big Data (IEEE BigData 2017), 

Boston, MA, USA, December 11-14, 2017},

pages = {1400--1407},

publisher = {IEEE Computer Society},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/semweb/ErmilovLSBWSBCP17,

title = {The Tale of Sansa Spark},

author = {Ivan Ermilov and 

Jens Lehmann and 

Gezim Sejdiu and 

Lorenz Bühmann and 

Patrick Westphal and 

Claus Stadler and 

Simon Bin and 

Nilesh Chakraborty and 

Henning Petzka and 

Muhammad Saleem and 

Axel-Cyrille Ngonga Ngomo and 

Hajira Jabeen},

url = {http://ceur-ws.org/Vol-1963/paper552.pdf},

year  = {2017},

date = {2017-01-01},

booktitle = {Proceedings of the ISWC 2017 Posters & Demonstrations and Industry 

Tracks co-located with 16th International Semantic Web Conference 

(ISWC 2017), Vienna, Austria, October 23rd - to - 25th, 2017},

volume = {1963},

publisher = {CEUR-WS.org},

series = {CEUR Workshop Proceedings},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/semweb/LehmannSBWSEBCS17,

title = {Distributed Semantic Analytics Using the SANSA Stack},

author = {Jens Lehmann and 

Gezim Sejdiu and 

Lorenz Bühmann and 

Patrick Westphal and 

Claus Stadler and 

Ivan Ermilov and 

Simon Bin and 

Nilesh Chakraborty and 

Muhammad Saleem and 

Axel-Cyrille Ngonga Ngomo and 

Hajira Jabeen},

url = {https://doi.org/10.1007/978-3-319-68204-4_15},

doi = {10.1007/978-3-319-68204-4_15},

year  = {2017},

date = {2017-01-01},

booktitle = {The Semantic Web - ISWC 2017 - 16th International Semantic Web Conference, 

Vienna, Austria, October 21-25, 2017, Proceedings, Part II},

volume = {10588},

pages = {147--155},

publisher = {Springer},

series = {Lecture Notes in Computer Science},

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.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/www/StadlerUWSL15,

title = {Simplified RDB2RDF Mapping},

author = {Claus Stadler and 

Jörg Unbehauen and 

Patrick Westphal and 

Mohamed Ahmed Sherif and 

Jens Lehmann},

url = {http://ceur-ws.org/Vol-1409/paper-09.pdf},

year  = {2015},

date = {2015-01-01},

booktitle = {Proceedings of the Workshop on Linked Data on the Web, LDOW 2015, 

co-located with the 24th International World Wide Web Conference (WWW 

2015), Florence, Italy, May 19th, 2015},

volume = {1409},

publisher = {CEUR-WS.org},

series = {CEUR Workshop Proceedings},

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.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/semweb/StadlerWL14,

title = {Jassa - A JavaScript suite for SPARQL-based faceted search},

author = {Claus Stadler and 

Patrick Westphal and 

Jens Lehmann},

url = {http://ceur-ws.org/Vol-1268/paper6.pdf},

year  = {2014},

date = {2014-01-01},

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},

volume = {1268},

pages = {31--36},

publisher = {CEUR-WS.org},

series = {CEUR Workshop Proceedings},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/www/KontokostasWAHLC14,

title = {Databugger: a test-driven framework for debugging the web of data},

author = {Dimitris Kontokostas and 

Patrick Westphal and 

Sören Auer and 

Sebastian Hellmann and 

Jens Lehmann and 

Roland Cornelissen},

url = {https://doi.org/10.1145/2567948.2577017},

doi = {10.1145/2567948.2577017},

year  = {2014},

date = {2014-01-01},

booktitle = {23rd International World Wide Web Conference, WWW '14, Seoul, Republic 

of Korea, April 7-11, 2014, Companion Volume},

pages = {115--118},

publisher = {ACM},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/www/KontokostasWAHLCZ14,

title = {Test-driven evaluation of linked data quality},

author = {Dimitris Kontokostas and 

Patrick Westphal and 

Sören Auer and 

Sebastian Hellmann and 

Jens Lehmann and 

Roland Cornelissen and 

Amrapali Zaveri},

url = {https://doi.org/10.1145/2566486.2568002},

doi = {10.1145/2566486.2568002},

year  = {2014},

date = {2014-01-01},

booktitle = {23rd International World Wide Web Conference, WWW '14, Seoul, Republic 

of Korea, April 7-11, 2014},

pages = {747--758},

publisher = {ACM},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}