Title :
Intelligent Search Engine for XML Based on Index and Domain Ontology
Author :
Li, Xin-ye ; Yuan, Jin-sha ; Yang, Xue-ming
Author_Institution :
Dept. of Electron. & Commun. Eng., North China Electr.Power Univ., Hebei
Abstract :
A new semantic search scheme for XML data is proposed. The semantics of both XML documents and the query are enriched by domain ontology annotation. Also, the additional information provided by the structure of XML documents is considered by adding node path index, semantic keyword index and element tag index to indices. A searching algorithm is used to realize a semantic search for XML documents. By calculating the semantic correlation coefficient between two nodes and between a keyword and a node and by inferring from ontology base, the search algorithm realizes searching exactly and completely. The top node R-value is put forward to rank the results. Finally, an example is given to illustrate the searching process
Keywords :
XML; indexing; information retrieval; ontologies (artificial intelligence); search engines; semantic Web; XML data; XML documents; domain ontology annotation; element tag index; intelligent search engine; node path index; semantic keyword index; top node R-value; Content based retrieval; Cybernetics; Data engineering; Electronic mail; Information retrieval; Internet; Learning systems; Machine learning; Ontologies; Power engineering and energy; Search engines; Web search; XML; XML document; domain ontology; index; semantic search;
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
DOI :
10.1109/ICMLC.2006.259166
