Title :
Approximate Searching XML Elements Based on Semantic Restrictions
Author_Institution :
Higher Vocational Technol. Coll., Jiangxi Normal Univ., Nanchang
Abstract :
In last years, XML has become the standard for information representing, exchanging, and publishing. So, querying XML data is a well-explored topic in both database (DB) and information retrieval (IR) fields, which shows proximity search is well suited to XML documents, which are often modelled as labelled trees. Based on the observations that there are some semantic restrictions in userpsilas query, this paper first analysis query restrictions on elements and their values, and then proposes to approximately extract XML elements by using semantic restrictions.
Keywords :
XML; database management systems; information retrieval; XML data; information retrieval; proximity search; semantic restrictions; Conference management; Data mining; Databases; Educational institutions; Electronic government; Information retrieval; Search engines; Standards publication; Technology management; XML; Keyword Proximity Search; Semantic Restrictions; XML;
Conference_Titel :
Management of e-Commerce and e-Government, 2008. ICMECG '08. International Conference on
Conference_Location :
Jiangxi
Print_ISBN :
978-0-7695-3366-7
DOI :
10.1109/ICMECG.2008.79
