Dr. Mohamed Sherif

@inproceedings{DBLP:conf/ht/DresslerSN22,

title = {ADAGIO - Automated Data Augmentation of Knowledge Graphs Using Multi-expression 

Learning},

author = {Kevin Dreßler and 

Mohamed Ahmed Sherif and 

Axel-Cyrille Ngonga Ngomo},

url = {https://doi.org/10.1145/3511095.3531287},

doi = {10.1145/3511095.3531287},

year  = {2022},

date = {2022-01-01},

booktitle = {HT '22: 33rd ACM Conference on Hypertext and Social Media, Barcelona, 

Spain, 28 June 2022- 1 July 2022},

pages = {43--51},

publisher = {ACM},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/semweb/ZaheraVSN22,

title = {MultPAX: Keyphrase Extraction Using Language Models and Knowledge 

Graphs},

author = {Hamada M. Zahera and 

Daniel Vollmers and 

Mohamed Ahmed Sherif and 

Axel-Cyrille Ngonga Ngomo},

url = {https://doi.org/10.1007/978-3-031-19433-7_18},

doi = {10.1007/978-3-031-19433-7_18},

year  = {2022},

date = {2022-01-01},

booktitle = {The Semantic Web - ISWC 2022 - 21st International Semantic Web Conference, 

Virtual Event, October 23-27, 2022, Proceedings},

volume = {13489},

pages = {303--318},

publisher = {Springer},

series = {Lecture Notes in Computer Science},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/icmla/ChakrabortyZSB21,

title = {ONTOCONNECT: Domain-Agnostic Ontology Alignment using Graph Embedding 

with Negative Sampling},

author = {Jaydeep Chakraborty and 

Hamada M. Zahera and 

Mohamed Ahmed Sherif and 

Srividya K. Bansal},

url = {https://doi.org/10.1109/ICMLA52953.2021.00155},

doi = {10.1109/ICMLA52953.2021.00155},

year  = {2021},

date = {2021-01-01},

booktitle = {20th IEEE International Conference on Machine Learning and Applications, 

ICMLA 2021, Pasadena, CA, USA, December 13-16, 2021},

pages = {942--945},

publisher = {IEEE},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/semweb/BigerlCBSSN20,

title = {Tentris - A Tensor-Based Triple Store},

author = {Alexander Bigerl and 

Felix Conrads and 

Charlotte Behning and 

Mohamed Ahmed Sherif and 

Muhammad Saleem and 

Axel-Cyrille Ngonga Ngomo},

url = {https://doi.org/10.1007/978-3-030-62419-4_4},

doi = {10.1007/978-3-030-62419-4_4},

year  = {2020},

date = {2020-01-01},

booktitle = {The Semantic Web - ISWC 2020 - 19th International Semantic Web Conference, 

Athens, Greece, November 2-6, 2020, Proceedings, Part I},

volume = {12506},

pages = {56--73},

publisher = {Springer},

series = {Lecture Notes in Computer Science},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/semweb/GeorgalaSN20,

title = {LIGER - link discovery with partial recall},

author = {Kleanthi Georgala and 

Mohamed Ahmed Sherif and 

Axel-Cyrille Ngonga Ngomo},

url = {http://ceur-ws.org/Vol-2788/om2020_STpaper4.pdf},

year  = {2020},

date = {2020-01-01},

booktitle = {Proceedings of the 15th International Workshop on Ontology Matching 

co-located with the 19th International Semantic Web Conference (ISWC 

2020), Virtual conference (originally planned to be in Athens, Greece), 

November 2, 2020},

volume = {2788},

pages = {87--91},

publisher = {CEUR-WS.org},

series = {CEUR Workshop Proceedings},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/semweb/GeorgalaSRN20,

title = {Applying edge-counting semantic similarities to link discovery: scalability 

and accuracy},

author = {Kleanthi Georgala and 

Mohamed Ahmed Sherif and 

Michael Röder and 

Axel-Cyrille Ngonga Ngomo},

url = {http://ceur-ws.org/Vol-2788/om2020_LTpaper4.pdf},

year  = {2020},

date = {2020-01-01},

booktitle = {Proceedings of the 15th International Workshop on Ontology Matching 

co-located with the 19th International Semantic Web Conference (ISWC 

2020), Virtual conference (originally planned to be in Athens, Greece), 

November 2, 2020},

volume = {2788},

pages = {36--47},

publisher = {CEUR-WS.org},

series = {CEUR Workshop Proceedings},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/semweb/SherifDN20,

title = {LIGON - link discovery with noisy oracles},

author = {Mohamed Ahmed Sherif and 

Kevin Dreßler and 

Axel-Cyrille Ngonga Ngomo},

url = {http://ceur-ws.org/Vol-2788/om2020_LTpaper5.pdf},

year  = {2020},

date = {2020-01-01},

booktitle = {Proceedings of the 15th International Workshop on Ontology Matching 

co-located with the 19th International Semantic Web Conference (ISWC 

2020), Virtual conference (originally planned to be in Athens, Greece), 

November 2, 2020},

volume = {2788},

pages = {48--59},

publisher = {CEUR-WS.org},

series = {CEUR Workshop Proceedings},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/edbt/AthanasiouGGK0N19,

title = {Big POI data integration with Linked Data technologies},

author = {Spiros Athanasiou and 

Giorgos Giannopoulos and 

Damien Graux and 

Nikos Karagiannakis and 

Jens Lehmann and 

Axel-Cyrille Ngonga Ngomo and 

Kostas Patroumpas and 

Mohamed Ahmed Sherif and 

Dimitrios Skoutas},

url = {https://doi.org/10.5441/002/edbt.2019.44},

doi = {10.5441/002/edbt.2019.44},

year  = {2019},

date = {2019-01-01},

booktitle = {Advances in Database Technology - 22nd International Conference on 

Extending Database Technology, EDBT 2019, Lisbon, Portugal, March 

26-29, 2019},

pages = {477--488},

publisher = {OpenProceedings.org},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/kcap/AhmedSN19,

title = {Do your Resources Sound Similar?: On the Impact of Using Phonetic 

Similarity in Link Discovery},

author = {Abdullah Fathi Ahmed and 

Mohamed Ahmed Sherif and 

Axel-Cyrille Ngonga Ngomo},

url = {https://doi.org/10.1145/3360901.3364426},

doi = {10.1145/3360901.3364426},

year  = {2019},

date = {2019-01-01},

booktitle = {Proceedings of the 10th International Conference on Knowledge Capture, 

K-CAP 2019, Marina Del Rey, CA, USA, November 19-21, 2019},

pages = {53--60},

publisher = {ACM},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/kcap/ZaheraSN19,

title = {Jointly Learning from Social Media and Environmental Data for Typhoon 

Intensity Prediction},

author = {Hamada M. Zahera and 

Mohamed Ahmed Sherif and 

Axel-Cyrille Ngonga Ngomo},

url = {https://doi.org/10.1145/3360901.3364413},

doi = {10.1145/3360901.3364413},

year  = {2019},

date = {2019-01-01},

booktitle = {Proceedings of the 10th International Conference on Knowledge Capture, 

K-CAP 2019, Marina Del Rey, CA, USA, November 19-21, 2019},

pages = {231--234},

publisher = {ACM},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/nldb/AhmedSN19,

title = {LSVS: Link Specification Verbalization and Summarization},

author = {Abdullah Fathi Ahmed and 

Mohamed Ahmed Sherif and 

Axel-Cyrille Ngonga Ngomo},

url = {https://doi.org/10.1007/978-3-030-23281-8_6},

doi = {10.1007/978-3-030-23281-8_6},

year  = {2019},

date = {2019-01-01},

booktitle = {Natural Language Processing and Information Systems - 24th International 

Conference on Applications of Natural Language to Information Systems, 

NLDB 2019, Salford, UK, June 26-28, 2019, Proceedings},

volume = {11608},

pages = {66--78},

publisher = {Springer},

series = {Lecture Notes in Computer Science},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/semweb/SherifSDN19,

title = {LimesWebUI - Link Discovery Made Simple},

author = {Mohamed Ahmed Sherif and 

Pestryakova Svetlana and 

Kevin Dreßler and 

Axel-Cyrille Ngonga Ngomo},

url = {http://ceur-ws.org/Vol-2456/paper53.pdf},

year  = {2019},

date = {2019-01-01},

booktitle = {Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations, 

Industry, and Outrageous Ideas) co-located with 18th International 

Semantic Web Conference (ISWC 2019), Auckland, New Zealand, October 

26-30, 2019},

volume = {2456},

pages = {205--208},

publisher = {CEUR-WS.org},

series = {CEUR Workshop Proceedings},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/trec/ZaheraEJS19,

title = {Fine-tuned BERT Model for Multi-Label Tweets Classification},

author = {Hamada M. Zahera and 

Ibrahim A. Elgendy and 

Rricha Jalota and 

Mohamed Ahmed Sherif},

url = {https://trec.nist.gov/pubs/trec28/papers/DICE_UPB.IS.pdf},

year  = {2019},

date = {2019-01-01},

booktitle = {Proceedings of the Twenty-Eighth Text REtrieval Conference, TREC 

2019, Gaithersburg, Maryland, USA, November 13-15, 2019},

volume = {1250},

publisher = {National Institute of Standards and Technology (NIST)},

series = {NIST Special Publication},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/esws/WauerSN18,

title = {Towards a Semantic Message-driven Microservice Platform for Geospatial 

and Sensor Data},

author = {Matthias Wauer and 

Mohamed Ahmed Sherif and 

Axel-Cyrille Ngonga Ngomo},

url = {http://ceur-ws.org/Vol-2110/paper5.pdf},

year  = {2018},

date = {2018-01-01},

booktitle = {Proceedings of the 3rd International Workshop on Geospatial Linked 

Data and the 2nd Workshop on Querying the Web of Data co-located with 

15th Extended Semantic Web Conference (ESWC 2018), Heraklion, Greece, 

June 3, 2018},

volume = {2110},

pages = {47--58},

publisher = {CEUR-WS.org},

series = {CEUR Workshop Proceedings},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/i-semantics/AhmedSN18,

title = {On the Effect of Geometries Simplification on Geo-spatial Link Discovery},

author = {Abdullah Fathi Ahmed and 

Mohamed Ahmed Sherif and 

Axel-Cyrille Ngonga Ngomo},

url = {https://doi.org/10.1016/j.procs.2018.09.014},

doi = {10.1016/j.procs.2018.09.014},

year  = {2018},

date = {2018-01-01},

booktitle = {Proceedings of the 14th International Conference on Semantic Systems, 

SEMANTiCS 2018, Vienna, Austria, September 10-13, 2018},

volume = {137},

pages = {139--150},

publisher = {Elsevier},

series = {Procedia Computer Science},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/lrec/MoussallemSEZN18,

title = {LIdioms: A Multilingual Linked Idioms Data Set},

author = {Diego Moussallem and 

Mohamed Ahmed Sherif and 

Diego Esteves and 

Marcos Zampieri and 

Axel-Cyrille Ngonga Ngomo},

url = {http://www.lrec-conf.org/proceedings/lrec2018/summaries/46.html},

year  = {2018},

date = {2018-01-01},

booktitle = {Proceedings of the Eleventh International Conference on Language Resources 

and Evaluation, LREC 2018, Miyazaki, Japan, May 7-12, 2018},

publisher = {European Language Resources Association (ELRA)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/semweb/AhmedSN18,

title = {RADON2 - a buffered-intersection matrix computing approach to accelerate 

link discovery over geo-spatial RDF knowledge bases: OAEI2018 

results},

author = {Abdullah Fathi Ahmed and 

Mohamed Ahmed Sherif and 

Axel-Cyrille Ngonga Ngomo},

url = {http://ceur-ws.org/Vol-2288/oaei18_paper13.pdf},

year  = {2018},

date = {2018-01-01},

booktitle = {Proceedings of the 13th International Workshop on Ontology Matching co-located with the 17th International Semantic Web Conference, OM@ISWC 

2018, Monterey, CA, USA, October 8, 2018},

volume = {2288},

pages = {197--204},

publisher = {CEUR-WS.org},

series = {CEUR Workshop Proceedings},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/semweb/Jimenez-RuizSZH18,

title = {Introducing the HOBBIT platform into the ontology alignment evaluation 

campaign},

author = {Ernesto Jiménez-Ruiz and 

Tzanina Saveta and 

Ondrej Zamazal and 

Sven Hertling and 

Michael Röder and 

Irini Fundulaki and 

Axel-Cyrille Ngonga Ngomo and 

Mohamed Ahmed Sherif and 

Amina Annane and 

Zohra Bellahsene and 

Sadok Ben Yahia and 

Gayo Diallo and 

Daniel Faria and 

Marouen Kachroudi and 

Abderrahmane Khiat and 

Patrick Lambrix and 

Huanyu Li and 

Maximilian Mackeprang and 

Majid Mohammadi and 

Maciej Rybinski and 

Booma Sowkarthiga Balasubramani and 

Cássia Trojahn},

url = {http://ceur-ws.org/Vol-2288/om2018_LTpaper5.pdf},

year  = {2018},

date = {2018-01-01},

booktitle = {Proceedings of the 13th International Workshop on Ontology Matching co-located with the 17th International Semantic Web Conference, OM@ISWC 

2018, Monterey, CA, USA, October 8, 2018},

volume = {2288},

pages = {49--60},

publisher = {CEUR-WS.org},

series = {CEUR Workshop Proceedings},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/aaai/SherifDSN17,

title = {Radon - Rapid Discovery of Topological Relations},

author = {Mohamed Ahmed Sherif and 

Kevin Dreßler and 

Panayiotis Smeros and 

Axel-Cyrille Ngonga Ngomo},

url = {http://aaai.org/ocs/index.php/AAAI/AAAI17/paper/view/14199},

year  = {2017},

date = {2017-01-01},

booktitle = {Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 

February 4-9, 2017, San Francisco, California, USA},

pages = {175--181},

publisher = {AAAI Press},

abstract = {Geospatial data is at the core of the Semantic Web, of which the largest knowledge base contains more than 30 billions facts. Reasoning on these large amounts of geospatial data requires efficient methods for the computation of links between the resources contained in these knowledge bases. In this paper, we present RADON - efficient solution for the discovery of topological relations between geospatial resources according to the DE9-IM standard. Our evaluation shows that we outperform the state of the art significantly and by several orders of magnitude.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/esws/SherifNL17,

title = {Wombat - A Generalization Approach for Automatic Link Discovery},

author = {Mohamed Ahmed Sherif and 

Axel-Cyrille Ngonga Ngomo and 

Jens Lehmann},

url = {https://doi.org/10.1007/978-3-319-58068-5_7},

doi = {10.1007/978-3-319-58068-5_7},

year  = {2017},

date = {2017-01-01},

booktitle = {The Semantic Web - 14th International Conference, ESWC 2017, Portorov z, Slovenia, May 28 - June 1, 2017, Proceedings, Part I},

volume = {10249},

pages = {103--119},

series = {Lecture Notes in Computer Science},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/semweb/DresslerSN17,

title = {Radon results for OAEI 2017},

author = {Kevin Dreßler and 

Mohamed Ahmed Sherif and 

Axel-Cyrille Ngonga Ngomo},

url = {http://ceur-ws.org/Vol-2032/oaei17_paper11.pdf},

year  = {2017},

date = {2017-01-01},

booktitle = {Proceedings of the 12th International Workshop on Ontology Matching 

co-located with the 16th International Semantic Web Conference (ISWC 

2017), Vienna, Austria, October 21, 2017},

volume = {2032},

pages = {178--184},

publisher = {CEUR-WS.org},

series = {CEUR Workshop Proceedings},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/ecai/GeorgalaSN16,

title = {An Efficient Approach for the Generation of Allen Relations},

author = {Kleanthi Georgala and 

Mohamed Ahmed Sherif and 

Axel-Cyrille Ngonga Ngomo},

url = {https://doi.org/10.3233/978-1-61499-672-9-948},

doi = {10.3233/978-1-61499-672-9-948},

year  = {2016},

date = {2016-01-01},

booktitle = {ECAI 2016 - 22nd European Conference on Artificial Intelligence, 

29 August-2 September 2016, The Hague, The Netherlands - Including 

Prestigious Applications of Artificial Intelligence (PAIS 2016)},

volume = {285},

pages = {948--956},

publisher = {IOS Press},

series = {Frontiers in Artificial Intelligence and Applications},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/semweb/SherifHSNL16,

title = {Lion's Den: feeding the LinkLion},

author = {Mohamed Ahmed Sherif and 

Mofeed Mohamed Hassan and 

Tommaso Soru and 

Axel-Cyrille Ngonga Ngomo and 

Jens Lehmann},

url = {http://ceur-ws.org/Vol-1766/om2016_poster5.pdf},

year  = {2016},

date = {2016-01-01},

booktitle = {Proceedings of the 11th International Workshop on Ontology Matching 

co-located with the 15th International Semantic Web Conference (ISWC 

2016), Kobe, Japan, October 18, 2016},

volume = {1766},

pages = {235--236},

publisher = {CEUR-WS.org},

series = {CEUR Workshop Proceedings},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/esws/SherifNL15,

title = {Automating RDF Dataset Transformation and Enrichment},

author = {Mohamed Ahmed Sherif and 

Axel-Cyrille Ngonga Ngomo and 

Jens Lehmann},

url = {https://doi.org/10.1007/978-3-319-18818-8_23},

doi = {10.1007/978-3-319-18818-8_23},

year  = {2015},

date = {2015-01-01},

booktitle = {The Semantic Web. Latest Advances and New Domains - 12th European 

Semantic Web Conference, ESWC 2015, Portoroz, Slovenia, May 31 - 

June 4, 2015. Proceedings},

volume = {9088},

pages = {371--387},

publisher = {Springer},

series = {Lecture Notes in Computer Science},

abstract = {With the adoption of RDF across several domains, come growing requirements pertaining to the completeness and quality of RDF datasets. Currently, this problem is most commonly addressed by manually devising means of enriching an input dataset. The few tools that aim at supporting this endeavour usually focus on supporting the manual definition of enrichment pipelines. In this paper, we present a supervised learning approach based on a refinement operator for enriching RDF datasets. We show how we can use exemplary descriptions of enriched resources to generate accurate enrichment pipelines. We evaluate our approach against eight manually defined enrichment pipelines and show that our approach can learn accurate pipelines even when provided with a small number of training examples.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/i-semantics/SherifN15,

title = {An optimization approach for load balancing in parallel link discovery},

author = {Mohamed Ahmed Sherif and 

Axel-Cyrille Ngonga Ngomo},

url = {https://doi.org/10.1145/2814864.2814872},

doi = {10.1145/2814864.2814872},

year  = {2015},

date = {2015-01-01},

booktitle = {Proceedings of the 11th International Conference on Semantic Systems, 

SEMANTiCS 2015, Vienna, Austria, September 15-17, 2015},

pages = {161--168},

publisher = {ACM},

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/esws/NgomoSL14,

title = {Unsupervised Link Discovery through Knowledge Base Repair},

author = {Axel-Cyrille Ngonga Ngomo and 

Mohamed Ahmed Sherif and 

Klaus Lyko},

url = {https://doi.org/10.1007/978-3-319-07443-6_26},

doi = {10.1007/978-3-319-07443-6_26},

year  = {2014},

date = {2014-01-01},

booktitle = {The Semantic Web: Trends and Challenges - 11th International Conference, 

ESWC 2014, Anissaras, Crete, Greece, May 25-29, 2014. Proceedings},

volume = {8465},

pages = {380--394},

publisher = {Springer},

series = {Lecture Notes in Computer Science},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/lrec/SherifCUHLBB14,

title = {NIF4OGGD - NLP Interchange Format for Open German Governmental 

Data},

author = {Mohamed Ahmed Sherif and 

Sandro Coelho and 

Ricardo Usbeck and 

Sebastian Hellmann and 

Jens Lehmann and 

Martin Brümmer and 

Andreas Both},

url = {http://www.lrec-conf.org/proceedings/lrec2014/summaries/780.html},

year  = {2014},

date = {2014-01-01},

booktitle = {Proceedings of the Ninth International Conference on Language Resources 

and Evaluation, LREC 2014, Reykjavik, Iceland, May 26-31, 2014},

pages = {3524--3528},

publisher = {European Language Resources Association (ELRA)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/webi/PokharelSL14,

title = {Ontology Based Data Access and Integration for Improving the Effectiveness 

of Farming in Nepal},

author = {Suresh Pokharel and 

Mohamed Ahmed Sherif and 

Jens Lehmann},

url = {https://doi.org/10.1109/WI-IAT.2014.114},

doi = {10.1109/WI-IAT.2014.114},

year  = {2014},

date = {2014-01-01},

booktitle = {2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence 

(WI) and Intelligent Agent Technologies (IAT), Warsaw, Poland, August 

11-14, 2014 - Volume I},

pages = {319--326},

publisher = {IEEE Computer Society},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@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},

url = {http://jens-lehmann.org/files/2014/lgd_geoknow_generator.pdf},

year  = {2014},

date = {2014-01-01},

booktitle = {Proceedings of the Linking Geospatial Data Workshop},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/i-semantics/ZaveriKSBMAL13,

title = {User-driven quality evaluation of DBpedia},

author = {Amrapali Zaveri and 

Dimitris Kontokostas and 

Mohamed Ahmed Sherif and 

Lorenz Bühmann and 

Mohamed Morsey and 

Sören Auer and 

Jens Lehmann},

url = {https://doi.org/10.1145/2506182.2506195},

doi = {10.1145/2506182.2506195},

year  = {2013},

date = {2013-01-01},

booktitle = {I-SEMANTICS 2013 - 9th International Conference on Semantic Systems, 

I-SEMANTICS '13, Graz, Austria, September 4-6, 2013},

pages = {97--104},

publisher = {ACM},

abstract = {Linked Open Data (LOD) comprises of an unprecedented volume of structured datasets on the Web. However, these datasets are of varying quality ranging from extensively curated datasets to crowdsourced and even extracted data of relatively low quality. We present a methodology for assessing the quality of linked data resources, which comprises of a manual and a semi-automatic process. The first phase includes the detection of common quality problems and their representation in a quality problem taxonomy. In the manual process, the second phase comprises of the evaluation of a large number of individual resources, according to the quality problem taxonomy via crowdsourcing. This process is accompanied by a tool wherein a user assesses an individual resource and evaluates each fact for correctness. The semi-automatic process involves the generation and verification of schema axioms. We report the results obtained by applying this methodology to DBpedia. We identified 17 data quality problem types and 58 users assessed a total of 521 resources. Overall, 11.93% of the evaluated DBpedia triples were identified to have some quality issues. Applying the semi-automatic component yielded a total of 222,982 triples that have a high probability to be incorrect. In particular, we found that problems such as object values being incorrectly extracted, irrelevant extraction of information and broken links were the most recurring quality problems. With this study, we not only aim to assess the quality of this sample of DBpedia resources but also adopt an agile methodology to improve the quality in future versions by regularly providing feedback to the DBpedia maintainers.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}