By Patryk Burek (auth.), Christoph Bussler, Dieter Fensel (eds.)
The eleventh convention “Artificial Intelligence: technique, platforms, purposes – Semantic internet 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 matters interested in improvement, deployment, and upkeep of platforms with clever habit. because the first convention in 1984 AIMSA has supplied an amazing discussion board for foreign clinical alternate among Central/Eastern Europe and the remainder of the area and it really is much more very important these days within the uni- ing Europe. the present AIMSA version is concentrated on Semantic internet equipment and applied sciences. the web is altering the typical prone panorama, and how we do issues in virtually each area of our lifestyles. internet providers are quickly changing into the permitting expertise of state-of-the-art e-business and e-commerce structures, and should quickly remodel the internet because it is now right into a dispensed computation and alertness framework. The rising Semantic internet paradigm offers to annotate internet artefacts to allow computerized reasoning approximately them. while utilized to e-services, the paradigm hopes to supply big automation for actions comparable to discovery, invocation, meeting, and tracking of e-services. 100 and seventy-six fascinating papers have been submitted to the conference.
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Additional resources for Artificial Intelligence: Methodology, Systems, and Applications: 11th International Conference, AIMSA 2004, Varna, Bulgaria, September 2-4, 2004. Proceedings
3 achieves high accuracy with little human involvement. To further investigate this, we conducted experiments with real-life ontologies taken from the DAML ontology library4. These experiments followed the requirements of similar experiments conducted with PROMPT . We have measured the recall and precision of the suggested merging actions. Generally, recall is defined as the fraction of correct matches that the algorithm identifies, and precision is defined as the fraction of correct matches among the matches that the algorithm identifies.
This approach to computing the s-morphism for the ontology, gives the results shown in the “Automated iteration” column of Table 2. A mapping is considered to be “correct” when the concept is associated with the interpretation intended by the ontology developer. To compute the mappings, the semantic space and the query string are constructed as it is specified in Section 2. In order to increase the mapping precision by taking advantage of the correct mappings produced, we also investigated the following method: Given the computed mappings of concepts to WordNet senses, the algorithm re-computes the s-morphism.
7. 8. 9. 10. 11. 12. 13. Uschold M. : Creating Semantically Integrated Communities on the World Wide Web. : Where are the Semantics in the Semantic Web? , Bern-stein P. , and Halevy A. : Representing and reasoning about mappings between domain models. Proc. of the 18th AAAI, (2002) 80–86 Giunchiglia F. : S–Match: An Algorithm and Implementation of Semantic Matching. The Semantic Web: Research and Applications, Lecture Notes in Computer Science, Vol. 3053, Springer-Verlag, (2004) 61-75 Kalfoglou Y.
Artificial Intelligence: Methodology, Systems, and Applications: 11th International Conference, AIMSA 2004, Varna, Bulgaria, September 2-4, 2004. Proceedings by Patryk Burek (auth.), Christoph Bussler, Dieter Fensel (eds.)