By carefully designing the database schema, Kikori-KS handles a huge number of document fragments efficiently. Kikori-KS was implemented on top of a relational XML database system developed by our group. To meet practical demands for searching relevant fragments in scholartic articles, we have developed a user-friendly interface for displaying search results. This form of query is simple yet useful because users are not required to understand XML query languages or XML schema. Kikori-KS accepts a set of keywords as a query. We present Kikori-KS, an effective and efficient XML information retrieval system for scholartic articles. XML information retrieval systems need to search document fragments relevant to queries from a set of XML documents in a digital library. In scholarly articles, such document fragments include sections, subsections and paragraphs. N2 - Identifying meaningful document fragments is a major advantage achieved by encoding documents in XML. T2 - 9th International Conference on Asian Digital Libraries, ICADL 2006 Our experiments using INEX test collection show that Kikori-KS achieved an acceptable search time and with relatively high precision.", Our experiments using INEX test collection show that Kikori-KS achieved an acceptable search time and with relatively high precision.Ībstract = "Identifying meaningful document fragments is a major advantage achieved by encoding documents in XML.
Identifying meaningful document fragments is a major advantage achieved by encoding documents in XML.
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