Survey on Ontology Mapping

Abstract To create a sharable semantic space in which the terms from different domain ontology or knowledge system, Ontology mapping become a hot research point in Semantic Web Community. In this paper, motivated factors of ontology mapping research are given firstly, and then 5 dominating theories and methods, such as information accessing technology, machine learning, linguistics, structure graph and similarity, are illustrated according their technology class. Before we analyses the new requirements and takes a long view, the contributions of these theories and methods are summarized in details. At last, this paper suggest to design a group of semantic connector with the ability of migration learning for OWL-2 extended with constrains and the ontology mapping theory of axiom, so as to provide a new methodology for ontology mapping.

[1]  Mark A. Musen,et al.  The PROMPT suite: interactive tools for ontology merging and mapping , 2003, Int. J. Hum. Comput. Stud..

[2]  Yuzhong Qu,et al.  The Results of Falcon-AO in the OAEI 2006 Campaign , 2006, Ontology Matching.

[3]  Juan-Zi Li,et al.  Semantic Similarity Based Ontology Cache , 2006, APWeb.

[4]  Ming Mao,et al.  Ontology Mapping: An Information Retrieval and Interactive Activation Network Based Approach , 2007, ISWC/ASWC.

[5]  Mansur R. Kabuka,et al.  ASMOV Results for OAEI 2007 , 2007, OM.

[6]  Marc Ehrig,et al.  State of the art on ontology alignment , 2013 .

[7]  Pedro M. Domingos,et al.  Learning to match ontologies on the Semantic Web , 2003, The VLDB Journal.

[8]  Eduard Hovy,et al.  Combining and standardizing large- scale, practical ontologies for machine tranlation and other uses , 1998, LREC.

[9]  Ming Mao,et al.  An adaptive ontology mapping approach with neural network based constraint satisfaction , 2010, J. Web Semant..

[10]  Erhard Rahm,et al.  Similarity flooding: a versatile graph matching algorithm and its application to schema matching , 2002, Proceedings 18th International Conference on Data Engineering.

[11]  Natalya F. Noy,et al.  Semantic integration: a survey of ontology-based approaches , 2004, SGMD.

[12]  Jiang Yi,et al.  Automatic Knowledge Acquire System Oriented to Web Pages , 2009, 2009 Third International Symposium on Intelligent Information Technology Application.

[13]  Christos Faloutsos,et al.  Fast discovery of connection subgraphs , 2004, KDD.

[14]  Timothy W. Finin,et al.  Swoogle: a search and metadata engine for the semantic web , 2004, CIKM '04.

[15]  Baowen Xu,et al.  LILY: the Results for the Ontology Alignment Contest OAEI 2007 , 2007, OM.

[16]  Bin Li,et al.  A formal method for integrating distributed ontologies and reducing the redundant relations , 2009, Kybernetes.

[17]  Yuzhong Qu,et al.  Constructing virtual documents for ontology matching , 2006, WWW '06.

[18]  Stefan Schlobach,et al.  Deriving Concept Mappings through Instance Mappings , 2008, ASWC.

[19]  Mark A. Musen,et al.  PROMPT: Algorithm and Tool for Automated Ontology Merging and Alignment , 2000, AAAI/IAAI.

[20]  Yannis Kalfoglou,et al.  Ontology mapping: the state of the art , 2003, The Knowledge Engineering Review.

[21]  Ming Mao,et al.  Ontology Mapping: As a Binary Classification Problem , 2008, SKG.

[22]  Steffen Staab,et al.  QOM - Quick Ontology Mapping , 2004, GI Jahrestagung.