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

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

The eleventh convention “Artificial Intelligence: method, platforms, functions – Semantic net demanding situations” (AIMSA 2004) persisted effectively pursuing the most target of the AIMSA sequence of meetings – to foster the multidisciplinary neighborhood of man-made intelligence researchers, embracing either the theoretic underpinnings of the sector and the sensible concerns interested by improvement, deployment, and upkeep of structures with clever habit. because the first convention in 1984 AIMSA has supplied an incredible discussion board for foreign clinical 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 variation is concentrated on Semantic internet tools and applied sciences. the net is altering the standard providers panorama, and how we do issues in virtually each area of our lifestyles. net providers are speedily turning into the permitting know-how of ultra-modern e-business and e-commerce platforms, and may quickly rework the internet because it is now right into a dispensed computation and alertness framework. The rising Semantic internet paradigm provides to annotate internet artefacts to allow computerized reasoning approximately them. while utilized to e-services, the paradigm hopes to supply gigantic automation for actions equivalent 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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Additional info for Artificial Intelligence: Methodology, Systems, and Applications: 11th International Conference, AIMSA 2004, Varna, Bulgaria, September 2-4, 2004. Proceedings

Example text

G. Particle). This is coherent as a concept is more similar to one that is related to it than to a concept of the domain not directly linked to it. This also shows that is it beneficial to take into consideration the other relations than ‘is a’. We have considered several power measure results to evaluate if this measure was likely to reflect the adequacy of a concept to a corpus and to compare concepts found in the two ontologies. First, we considered the concept celestial body in ontology A. The power value of this concept in ontology A is 0,8.

This measure has been recognized as giving good results in numerous works on calculating similarity between concepts [16] [6] [17]. Our aim in considering information content is to use the probability of obtaining a concept in a document corpus to counteract subjectivity in the choice of relations in the ontology. It is appropriate to use this measure in the context of evaluating a correlation between an ontology and a corpus as the evaluation is based on both the terms of the corpus and the organisation of the concepts in the ontology.

Concepts that are immediate sub-concepts of C (subsumed by C) Q3. Concepts that are related to C via domain specific relations Using this method, each ontology concept is associated with a set of graded WordNet senses. For instance, the concept “facility” is associated with the five senses that WordNet assigns to the term “facility”, whose meaning range from “something created to provide a service” to “a room equipped with washing and toilet facilities”. The highest graded sense expresses the most possible informal meaning of the corresponding concept.

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