Title :
Path-augmented keyword search for XML documents
Author :
Hsu, Wynne ; Lee, Mong Li ; Wu, Xiaodong
Author_Institution :
Sch. of Comput., Nat. Univ. of Singapore, Singapore
Abstract :
Keyword search is easy to use since it does not require the prior knowledge of query languages or the structure of the underlying data. However, keyword search does not utilize the rich information encoded in the structures of XML to aid in the retrieval of documents. In This work, we devise a context-aware approach for searching XML to improve the effectiveness of keyword search on XML via query expansion. We find a set of XML path expressions that capture the contextual meaning of a keyword query. Paths in the contexts of the query are used to expand the original query to improve the effectiveness of keyword search on XML. Empirical results indicate that the proposed path-augmented keyword search of XML documents outperforms current keyword expansion and keyword proximity search techniques.
Keywords :
XML; information retrieval; query languages; XML document; information retrieval; keyword proximity search technique; path-augmented keyword search; query language; Art; Artificial intelligence; Database languages; Information retrieval; Keyword search; World Wide Web; XML;
Conference_Titel :
Tools with Artificial Intelligence, 2004. ICTAI 2004. 16th IEEE International Conference on
Print_ISBN :
0-7695-2236-X
DOI :
10.1109/ICTAI.2004.99