The purpose of this paper is to propose methods for fast incremental indexing with effective and efficient query processing in XML element retrieval. The effectiveness of a search system becomes lower if document updates are not handled when these occur frequently on the Web. The search accuracy is also reduced if drastic changes in document statistics are not managed. However, existing studies of XML element retrieval do not consider document updates, although these studies have attained both effectiveness and efficiency in query processing. Thus, the authors add a function for handling document updates to the existing techniques for XML element retrieval.
Though it will be important to enable fast updates of indices, preliminary experiments have shown that a simple incremental update approach has two problems: some kinds of statistics are inaccurate, and it takes a long time to update indices. Therefore, two methods are proposed: one to approximate term weights accurately with a small number of documents, even for dynamically changing statistics; and the other to eliminate unnecessary update targets.
Experimental results show that this proposed system can update indices up to 32 per cent faster than the simple incremental updates while the search accuracy improved by 4 per cent compared with the simple approach. The proposed methods can also be fast and accurate in query processing, even if document statistics change drastically.
The paper shows that there could be a more practical XML element search engine, which can access the latest XML documents accurately and efficiently.
Keyaki, A., Miyazaki, J., Hatano, K., Yamamoto, G., Taketomi, T. and Kato, H. (2013), "Fast incremental indexing with effective and efficient searching in XML element retrieval", International Journal of Web Information Systems, Vol. 9 No. 2, pp. 142-164. https://doi.org/10.1108/IJWIS-04-2013-0008Download as .RIS
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