BibliographyType,ISBN,Identifier,Author,Title,Journal,Volume,Number,Month,Pages,Year,Address,Note,URL,Booktitle,Chapter,Edition,Series,Editor,Publisher,ReportType,Howpublished,Institution,Organizations,School,Annote,Custom1,Custom2,Custom3,Custom4,Custom5
6,"","Bloehdorn2005Semantic","Bloehdorn, Stephan; Petridis, Kosmas; Saathoff, Carsten; Simou, Nikos; Tzouvaras, Vassilis; Avrithis, Yannis; Handschuh, Siegfried; Kompatsiaris, Yiannis; Staab, Steffen & Strintzis, Michael G.","Semantic Annotation of Images and Videos for Multimedia Analysis","",3532,,"","592-607",2005,"","","http://dx.doi.org/10.1007/11431053_40","The Semantic Web: Research and Applications: Proceedings of the Second European Semantic Web Conference, ESWC 2005, Heraklion, Crete, Greece, May 29-June 1, 2005","","","Lecture Notes in Computer Science","Gómez-Pérez, Asunción & Euzenat, Jérôme","Springer, Berlin--Heidelberg, Germany","","","","","","","Annotations of multimedia documents typically have been pursued in two different directions. Either previous approaches have focused on low level descriptors, such as dominant color, or they have focused on the content dimension and corresponding annotations, such as person or vehicle. In this paper, we present a software environment to bridge between the two directions. M-OntoMat-Annotizer allows for linking low level MPEG-7 visual descriptions to conventional Semantic Web ontologies and annotations. We use M-OntoMat- Annotizer in order to construct ontologies that include prototypical instances of high-level domain concepts together with a formal specification of corresponding visual descriptors. Thus, we formalize the interrelationship of high- and low-level multimedia concept descriptions allowing for new kinds of multimedia content analysis and reasoning.","","annotation automatic kspace-book-annotation-tools multimedia mypublication ontology semantic ","",""
6,"","Euzenat:95","Euzenat, J.","Building Consensual Knowledge Bases: Context and Architecture","",,,"","143--155",1995,"","","","Towards Very Large Knowledge Bases - Proceedings of the {KB}\&{KS} '95 Conference","","","","Mars, N.J.I.","IOS Press","","","","","","","","","imported ","",""
13,"","euzenat:2004","Euzenat, J.; Bach, T. Le; Barrasa, J. & et al.","State of the Art on Ontology Alignment","",,{KWEB}/2004/D2.2.3/v1.2,"","",2004,"","","","","","","","","","","","Knowledge Web","","","","","","imported ","",""
1,"978-3-540-49611-3","EuzenatShvaiko07","Euzenat, J{\'e}r{\^o}me & Shvaiko, Pavel","Ontology Matching","",,,"","",2007,"Berlin, Heidelberg","","","","","","","","Springer","","","","","","","Ontologies are viewed as the silver bullet for many applications: database integration, peer-to-peer systems, e-commerce, semantic web services, social networks and more. However, in open or evolving systems, different parties can adopt different ontologies. Instead of reducing heterogeneity, this raises heterogeneity problems to a higher level.

This book proposes ontology matching as a solution to the problem of semantic heterogeneity. Ontology matching seeks correspondences between semantically related entities of different ontologies. In addition to equivalence, it explores relations such as consequence, subsumption, or disjointness between ontology entities. The book also describes a variety of matching tools: databases, information systems, artificial intelligence.

Ontology Matching offers researchers and practitioners a reference to currently available work in a uniform framework. In particular, the techniques presented in this book can equally be applied to database schema matching, catalog integration, XML schema matching and other related problems. The objectives of the book include presenting the state of the art, and presenting the latest research results in ontology matching by providing a logical account of matching techniques and matching systems from theoretical, practical and application perspectives.","","ai book data engineering information knowledge matching ontology v0805 xml ","",""
1,"978-3-540-49611-3","EuzenatShvaiko07","Euzenat, J{\'e}r{\^o}me & Shvaiko, Pavel","Ontology Matching","",,,"","",2007,"Berlin, Heidelberg","","","","","","","","Springer","","","","","","","Ontologies are viewed as the silver bullet for many applications: database integration, peer-to-peer systems, e-commerce, semantic web services, social networks and more. However, in open or evolving systems, different parties can adopt different ontologies. Instead of reducing heterogeneity, this raises heterogeneity problems to a higher level.

This book proposes ontology matching as a solution to the problem of semantic heterogeneity. Ontology matching seeks correspondences between semantically related entities of different ontologies. In addition to equivalence, it explores relations such as consequence, subsumption, or disjointness between ontology entities. The book also describes a variety of matching tools: databases, information systems, artificial intelligence.

Ontology Matching offers researchers and practitioners a reference to currently available work in a uniform framework. In particular, the techniques presented in this book can equally be applied to database schema matching, catalog integration, XML schema matching and other related problems. The objectives of the book include presenting the state of the art, and presenting the latest research results in ontology matching by providing a logical account of matching techniques and matching systems from theoretical, practical and application perspectives.","","ontology ontologymatching s:toread ","",""
13,"","fernandezlopez-m-2002--OntoWeb","Fernandez-Lopez, Mariano; Gomez-Perez, Asun; Euzenat, Jerome; Gangemi, Aldo; Kalfoglou, Y.; Pisanelli, D.; Schorlemmer, M.; Steve, G.; Stojanovic, Ljiljana; Stumme, Gerd & Sure, York","A survey on methodologies for developing, maintaining, integrating, evaluating and reengineering ontologies","",,1.4,"","",2002,"","","http://www.aifb.uni-karlsruhe.de/WBS/ysu/publications/OntoWeb_Del_1-4.pdf","","","","","","","","","Universidad Politecnia de Madrid","","","","","","Methodology Ontology OntologyEngineering Reuse ","",""
6,"","conf/cal/KengueEV08","Kengue, Jean François Djoufak; Euzenat, Jérôme & Valtchev, Petko","Alignement d'ontologies dirigé par la structure.","",RNTI-L-2,,"","155",2008,"","","http://dblp.uni-trier.de/db/conf/cal/cal2008.html#KengueEV08","CAL","","","Revue des Nouvelles Technologies de l'Information","Ameur, Yamine Aït","Cépaduès-Éditions","","","","","","","","","dblp ","",""
6,"","deleenheer-aaai:2005","Leenheer, P. De & de Moor, A.","Context-Driven Disambiguation in Ontology Elicitation","",,,"","17--24",2005,"","","","Context and Ontologies: Theory, Practice, and Applications. Proc. of the 1st Context and Ontologies Workshop, {AAAI/IAAI} 2005, Pittsburgh, USA, July 9, 2005","","","","Shvaiko, P. & Euzenat, J.","","","","","","","","","","imported ","",""
6,"","SaboudM06","Sabou, Marta; d'Aquin, Mathieu & Motta, Enrico","Using the Semantic Web as Background Knowledge for Ontology Mapping.","",225,,"","",2006,"","","http://dblp.uni-trier.de/db/conf/semweb/om2006.html#SaboudM06","Ontology Matching","","","CEUR Workshop Proceedings","Shvaiko, Pavel; Euzenat, Jérôme; Noy, Natalya Fridman; Stuckenschmidt, Heiner; Benjamins, V. Richard & Uschold, Michael","CEUR-WS.org","","","","","","","","","folksology ","",""
7,"2-7462-0887-3","Simmonds&al2004LMO","Simmonds, Jocelyn; {Van Der Straeten}, Ragnhild; Jonckers, Viviane & Mens, Tom","Maintaining Consistency between UML Models Using Description Logic","S\'erie L'objet - logiciel, base de donn\'ees, r\'eseaux",10,2-3,"","231-244",2004,"","","","","","","","Euzenat, J\'erome & Carr\'e, Bernard","Lavoisier","","","","","","","","","imported ","",""