Artificial Intelligence: Methodology, Systems, and by Patryk Burek (auth.), Christoph Bussler, Dieter Fensel

By Patryk Burek (auth.), Christoph Bussler, Dieter Fensel (eds.)

The eleventh convention “Artificial Intelligence: technique, platforms, purposes – Semantic net demanding situations” (AIMSA 2004) persisted effectively pursuing the most target of the AIMSA sequence of meetings – to foster the multidisciplinary neighborhood of synthetic intelligence researchers, embracing either the theoretic underpinnings of the sector and the sensible matters fascinated about improvement, deployment, and upkeep of structures with clever habit. because the first convention in 1984 AIMSA has supplied a terrific discussion board for foreign medical alternate among Central/Eastern Europe and the remainder of the realm and it's much more vital these days within the uni- ing Europe. the present AIMSA version is targeted on Semantic internet equipment and applied sciences. the web is altering the standard providers panorama, and how we do issues in virtually each area of our lifestyles. internet prone are quickly changing into the permitting know-how of ultra-modern e-business and e-commerce platforms, and may quickly remodel the net because it is now right into a dispensed computation and alertness framework. The rising Semantic net paradigm gives you to annotate net artefacts to permit automatic reasoning approximately them. while utilized to e-services, the paradigm hopes to supply tremendous automation for actions comparable to discovery, invocation, meeting, and tracking of e-services. 100 and seventy-six attention-grabbing papers have been submitted to the conference.

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Artificial Intelligence: Methodology, Systems, and Applications: 11th International Conference, AIMSA 2004, Varna, Bulgaria, September 2-4, 2004. Proceedings

The eleventh convention “Artificial Intelligence: method, platforms, purposes – Semantic net demanding situations” (AIMSA 2004) persisted effectively pursuing the most target of the AIMSA sequence of meetings – to foster the multidisciplinary group of synthetic intelligence researchers, embracing either the theoretic underpinnings of the sphere and the sensible matters keen on improvement, deployment, and upkeep of structures with clever habit.

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Extra resources for Artificial Intelligence: Methodology, Systems, and Applications: 11th International Conference, AIMSA 2004, Varna, Bulgaria, September 2-4, 2004. Proceedings

Sample text

The same is true for the relation “is related to”. It is in An Approach to Evaluate Existing Ontologies for Indexing a Document Corpus 17 fact intuitive to consider that three concepts linked by two relations “is related to” are not systematically related to each other. However unlike the relation “part of”, the relation “is related to” is symmetric which means that the relation can be considered in both ways (if c1 is related to c2 by this relation, c2 is also related to c1). The similarity measure (1) is then also used to evaluate the similarity between concepts related by non-transitive relations in so far as the path relating these two concepts contains other concepts related by this type of relation only once.

Capturing Semantics Towards Automatic Coordination of Domain Ontologies Konstantinos Kotis, George A. Vouros, and Kostas Stergiou Dept. gr Abstract. Existing efforts on ontology mapping, alignment and merging vary from methodological and theoretical frameworks, to methods and tools that support the semi-automatic coordination of ontologies. However, only latest research efforts “touch” on the mapping /merging of ontologies using the whole breadth of available knowledge. Addressing this issue, the work presented in this paper is based on the HCONE-merge approach that makes use of the intended informal interpretations of concepts by mapping them to WordNet senses using lexical semantic indexing (LSI).

Stergiou Run the mapping algorithm for the concept The query string is constructed by taking into account the most frequent terms of fs(C), for every concept C that has a corresponding concept (via fs) to a concept of and is related to via an inclusion relation. The semantic space is constructed by taking into account the senses of that have been computed by mapping to WordNet. Using the example ontologies of Section 2 and the proposed semi-automated method for mapping, the algorithm produced the mapping of the concept “Transportation” to the concept “Transportation System”, and of the concept “Facility” to the concept “Installation”.

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