Topic Map Exchange in the Absence of Shared Vocabularies

Topic Maps are the international industry standard for semantic information integration. Appropriate means for Topic Map exchange are crucial for its success as integration technology. Topic Map exchange bases on the governing Subject Equality decision approach, the decision whether two Subject Proxies indicate identical Subjects. This paper discusses the ‘absence of shared vocabularies' in the context of these decisions. Thereby, a differentiation between Referential and Structuralist Subject Equality decision approaches is introduced. All existing approaches to Topic Map exchange base on the TMDM. This implies a Referential Subject Equality decision approach and bound to a concrete Subject Map Disclosure (SMD) ontology and Subject Map (SM) vocabulary. This paper introduces a Structuralist Subject Equality decision approach which is called SIM. It allows the exchange of Topic Maps in the absence of a shared SM ontology and SM vocabulary.

[1]  Brian Falkenhainer,et al.  The Structure-Mapping Engine: Algorithm and Examples , 1989, Artif. Intell..

[2]  Erhard Rahm,et al.  On Matching Schemas Automatically , 2001 .

[3]  Karl Aberer,et al.  Emergent Semantics Systems , 2007, ESOE.

[4]  Roberta Cuel,et al.  A New Methodology for Distributed Knowledge Management Analysis , 2003 .

[5]  Lutz Maicher,et al.  Real-Time Generation of Topic Maps from Speech Streams , 2005, TMRA.

[6]  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.

[7]  Michel Biezunski A Matter of Perspectives: Talking About Talking About Topic Maps , 2005, Extreme Markup Languages®.

[8]  Lutz Maicher Subject Identification in Topic Maps in Theory and Practice , 2004, Berliner XML Tage.

[9]  Lars Marius Garshol TMRAP - Topic Maps Remote Access Protocol , 2005, TMRA.

[10]  Axel Korthaus,et al.  Creating a Java- and CORBA-Based Enterprise Knowledge Grid Using Topic Maps , 2003 .

[11]  A. Majumdar,et al.  Analogical Reasoning , 2003 .

[12]  Hans Friedrich Witschel Content-oriented Topology Restructuring for Search in P2P Networks , 2004 .

[13]  Willard Van Orman Quine,et al.  Word and Object , 1960 .

[14]  Lars Marius Garshol tolog - A Topic Maps Query Language , 2005, TMRA.

[15]  Robert A. Barta TMIP, A RESTful Topic Maps Interaction Protocol , 2005, Extreme Markup Languages®.

[16]  Norbert Fuhr,et al.  Probabilistic Datalog—a logic for powerful retrieval methods , 1995, SIGIR '95.

[17]  Hans Friedrich Witschel,et al.  Merging of Distributed Topic Maps based on the Subject Identity Measure (SIM) Approach , 2004 .

[18]  Willard Van Orman Quine,et al.  Identity, Ostension, and Hypostasis , 1950 .

[19]  Paolo Bouquet,et al.  Knowledge Nodes: the Building Blocks of a Distributed Approach to Knowledge , 2002, J. Univers. Comput. Sci..

[20]  Lutz Maicher,et al.  Distributed Knowledge Management in the Absence of Shared Vocabularies ( Extended Abstract ) , 2005 .

[21]  Thomas Schwotzer Modelling Distributed Knowledge Management Systems with Topic Maps , 2004 .

[22]  Lars Marius Garshol Q: A model for topic maps: Unifying RDF and topic maps , 2005, Extreme Markup Languages®.

[23]  Bernhard Rumpe,et al.  Meaningful modeling: what's the semantics of "semantics"? , 2004, Computer.

[24]  Yong Yu,et al.  Mutual Enhancement of Schema Mapping and Data Mapping , 2004 .

[25]  Lars Marius Garshol,et al.  TM/XML - Topic Maps Fragments in XML , 2005, TMRA.