Towards Mutual Understanding Among Ontologies | Rule-Based and Learning-Based Matching Algorithms for Ontologies

Jingshan Huang

ISBN 10: 3639115562 / ISBN 13: 9783639115567

Verlag: VDM Verlag Dr. Müller, 2008

Towards Mutual Understanding Among Ontologies | Rule-Based and Learning-Based Matching Algorithms for Ontologies | Jingshan Huang | Taschenbuch | Kartoniert / Broschiert | Englisch | 2008 | VDM Verlag Dr. Müller | EAN 9783639115567 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 101682045

Inhaltsangabe:

Ontologies are formal, declarative knowledge representation models, forming a semantic foundation for many domains. As the Semantic Web gains attention as the next generation of the Web, ontologies' importance increases accordingly. Different ontologies are heterogeneous, which can lead to misunderstandings, so there is a need for them to be related. The suggested approaches can be categorized as either rule-based or learning-based. The former works on ontology schemas, and the latter considers both schemas and instances. This book makes 6 assumptions to bound the matching problem, then presents 3 systems towards the mutual reconciliation of concepts from different ontologies: (1) the Puzzle system belongs to the rule-based approach; (2) the SOCCER (Similar Ontology Concept ClustERing) system is mostly a learning-based solution, integrated with some rule-based techniques; and (3) the Compatibility Vector system, although not an ontology-matching algorithm by itself, instead is a means of measuring and maintaining ontology compatibility, which helps in the mutual understanding of ontologies and determines the compatibility of services (or agents) associated with these ontologies.

Bibliografische Details

Titel: Towards Mutual Understanding Among ...
Verlag: VDM Verlag Dr. Müller
Erscheinungsdatum: 2008
Einband: Taschenbuch
Zustand: Neu