Linked Open Data Validity -- A Technical Report from ISWS 2018

作者: Tayeb Abderrahmani Ghor , Esha Agrawal , Mehwish Alam , Omar Alqawasmeh , Claudia D'amato

DOI:

关键词: Technical reportComputer scienceRDFData scienceLinked dataSemantic heterogeneityReuseData qualitySemantic Web

摘要: Linked Open Data (LOD) is the publicly available RDF data in Web. Each LOD entity identfied by a URI and accessible via HTTP. encodes globalscale knowledge potentially to any human as well artificial intelligence that may want benefit from it background for supporting their tasks. has emerged backbone of applications diverse fields such Natural Language Processing, Information Retrieval, Computer Vision, Speech Recognition, many more. Nevertheless, regardless specific tasks LOD-based tools aim address, reuse be challenging reasons, e.g. semantic heterogeneity, provenance, quality. As aptly stated Heath et al. might outdated, imprecise, or simply wrong": there arouses necessity investigate problem linked validity. This work reports collaborative effort performed nine teams students, guided an equal number senior researchers, attending International Semantic Web Research School (ISWS 2018) towards addressing investigation different perspectives coupled with approaches tackle issue.

参考文章(66)
Andreas Schwarte, Peter Haase, Katja Hose, Ralf Schenkel, Michael Schmidt, FedX: optimization techniques for federated query processing on linked data international semantic web conference. pp. 601- 616 ,(2011) , 10.1007/978-3-642-25073-6_38
Marieke van Erp, Robert Hensel, Davide Ceolin, Marian van der Meij, Georeferencing Animal Specimen Datasets Transactions in Gis. ,vol. 19, pp. 563- 581 ,(2015) , 10.1111/TGIS.12110
Jens Lehmann, Lorenz Bühmann, ORE - a tool for repairing and enriching knowledge bases international semantic web conference. pp. 177- 193 ,(2010) , 10.1007/978-3-642-17749-1_12
Olaf Hartig, Jun Zhao, Publishing and Consuming Provenance Metadata on the Web of Linked Data Lecture Notes in Computer Science. pp. 78- 90 ,(2010) , 10.1007/978-3-642-17819-1_10
Jens Lehmann, Robert Isele, Max Jakob, Anja Jentzsch, Dimitris Kontokostas, Pablo N. Mendes, Sebastian Hellmann, Mohamed Morsey, Patrick van Kleef, Sören Auer, Christian Bizer, DBpedia - A Large-scale, Multilingual Knowledge Base Extracted from Wikipedia Social Work. ,vol. 6, pp. 167- 195 ,(2015) , 10.3233/SW-140134
Nicola Fanizzi, Claudia d’Amato, Floriana Esposito, DL-FOIL Concept Learning in Description Logics inductive logic programming. pp. 107- 121 ,(2008) , 10.1007/978-3-540-85928-4_12
Peter F. Patel-Schneider, Using description logics for RDF constraint checking and closed-world recognition national conference on artificial intelligence. pp. 247- 253 ,(2015)
Amrapali Zaveri, Anisa Rula, Andrea Maurino, Ricardo Pietrobon, Jens Lehmann, Sören Auer, Quality assessment for Linked Data: A Survey Social Work. ,vol. 7, pp. 63- 93 ,(2015) , 10.3233/SW-150175
Willem Robert van Hage, Wan Fokkink, Davide Ceolin, Guus Schreiber, Estimating uncertainty of categorical web data uncertainty reasoning for the semantic web. ,vol. 778, pp. 15- 26 ,(2011)
Gabriela Montoya, Hala Skaf-Molli, Pascal Molli, Maria-Esther Vidal, Federated SPARQL Queries Processing with Replicated Fragments international semantic web conference. pp. 36- 51 ,(2015) , 10.1007/978-3-319-25007-6_3