Title :
A Semantic Learning Approach for Mapping Unstructured Query to Web Resources
Author :
Hoon, Gan Keng ; Keong, Phang Keat ; Kong, Tang Enya
Author_Institution :
Fac. of Comput. Sci. & Inf. Technol., Malaya Univ., Kuala Lumpur
Abstract :
The search that involves structured Web resources like XML data, services is still lagging of its own method and relying on contemporary search systems. This paper presents a method that learns semantics from structured information of these resources. Instead of committing the semantic meaning of resources to strict and formal vocabularies like ontology or data dictionary, we are interested to interpret the meaning based on the natural context of the resources. The semantics are used in search process, i.e. query reasoning and resource selection, to provide better answer in terms of context relevancy and clearer result description
Keywords :
learning (artificial intelligence); meta data; ontologies (artificial intelligence); query formulation; semantic Web; Web resource; XML data; data dictionary; formal vocabulary; mapping unstructured query; resource selection; semantic learning approach; Computer science; Data mining; Dictionaries; Gallium nitride; Information technology; Natural languages; Ontologies; Resource description framework; Vocabulary; XML;
Conference_Titel :
Web Intelligence, 2006. WI 2006. IEEE/WIC/ACM International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2747-7
