Non-standard reasoning services for the debugging of description logic terminologies S Schlobach, R Cornet
Ijcai 3, 355-362, 2003
570 2003 Debugging incoherent terminologies S Schlobach, Z Huang, R Cornet, F Van Harmelen
Journal of Automated Reasoning 39 (3), 317-349, 2007
241 2007 An empirical study of instance-based ontology matching A Isaac, L Van Der Meij, S Schlobach, S Wang
The Semantic Web, 253-266, 2007
186 2007 LOD laundromat: a uniform way of publishing other people’s dirty data W Beek, L Rietveld, HR Bazoobandi, J Wielemaker, S Schlobach
International semantic web conference, 213-228, 2014
168 2014 Using Wikipedia at the TREC QA Track. D Ahn, V Jijkoun, G Mishne, K Müller, M de Rijke, S Schlobach, ...
TREC, 2004
133 2004 Debugging and semantic clarification by pinpointing S Schlobach
European Semantic Web Conference, 226-240, 2005
131 2005 Semantic technologies for historical research: A survey A Meroño-Peñuela, A Ashkpour, M Van Erp, K Mandemakers, L Breure, ...
Semantic Web 6 (6), 539-564, 2015
122 2015 ABox Abduction in the Description Logic S Klarman, U Endriss, S Schlobach
Journal of Automated Reasoning 46 (1), 43-80, 2011
107 2011 Diagnosing terminologies S Schlobach
AAAI, 670-675, 2005
105 2005 QueryPIE: Backward reasoning for OWL Horst over very large knowledge bases J Urbani, F Van Harmelen, S Schlobach, H Bal
International Semantic Web Conference, 730-745, 2011
100 2011 Concept drift and how to identify it S Wang, S Schlobach, M Klein
Journal of Web Semantics 9 (3), 247-265, 2011
89 2011 US Patent 8,825,701) Method and system of management of queries for crowd searching} A Bozzon, S Ceri, M Brambilla, A Bozzon, M Brambilla, S Ceri, A Mauri, ...
Web Engineering, 14th International Conference, ICWE 2014, Proceedings} 923 …, 2014
74 * 2014 Good news or bad news? Conducting sentiment analysis on Dutch text to distinguish between positive and negative relations W Van Atteveldt, J Kleinnijenhuis, N Ruigrok, S Schlobach
Journal of Information Technology & Politics 5 (1), 73-94, 2008
73 2008 Description Logics with Approximate Definitions-Precise Modeling of Vague Concepts. S Schlobach, MCA Klein, L Peelen
IJCAI 7, 557-562, 2007
67 2007 Learning concept mappings from instance similarity S Wang, G Englebienne, S Schlobach
International semantic web conference, 339-355, 2008
65 2008 Anytime query answering in RDF through evolutionary algorithms E Oren, C Guéret, S Schlobach
International Semantic Web Conference, 98-113, 2008
64 2008 Evaluating thesaurus alignments for semantic interoperability in the library domain A Isaac, S Wang, C Zinn, H Matthezing, L Van der Meij, S Schlobach
IEEE Intelligent Systems 24 (2), 76-86, 2009
51 2009 Type checking in open-domain question answering S Schlobach, M Olsthoorn, M De Rijke
ECAI 16, 398, 2004
47 2004 Semantic web techniques for multiple views on heterogeneous collections: a case study M Van Gendt, A Isaac, L Van Der Meij, S Schlobach
International Conference on Theory and Practice of Digital Libraries, 426-437, 2006
43 2006 Finding the achilles heel of the web of data: Using network analysis for link-recommendation C Guéret, P Groth, F Van Harmelen, S Schlobach
International Semantic Web Conference, 289-304, 2010
40 2010 
Frank van HarmelenDept. of Computer Science, Vrije Universiteit AmsterdamGeverifieerd e-mailadres voor vu.nl
