Inquiry optimization techniquefor a topic map database

Yuki Kuribara, Masaomi Kimura

研究成果: Conference contribution

2 引用 (Scopus)

抜粋

In this paper, we introduce the inquiry optimization technique for a topic map database. We assumed a tolog-type query language and the topic map data structure defined by TMDM (ISO/IEC 13250 part-2). We show a strategy for making a retrival plan based on the typical size of topic map objects and the number of objects to be loaded in memory. As for implementation, we focused on one of the queries that has multiple plans, the type of query that retrieves topics related to a certain topic by some relationship both of which are specified in the query. We proposed an esimation formula for the retrival cost of each route and evaluated our technique by applying it to the topic map database called TOME, which is a prototype developed by the authors.

元の言語English
ホスト出版物のタイトルInformation Wants to be a Topic Map: 6th International Conference on Topic Maps Research and Applications, TMRA 2010
ページ53-62
ページ数10
24
出版物ステータスPublished - 2010
イベント6th International Conference on Topic Maps Research and Applications, TMRA 2010 - Leipzig
継続期間: 2010 9 292010 10 1

Other

Other6th International Conference on Topic Maps Research and Applications, TMRA 2010
Leipzig
期間10/9/2910/10/1

    フィンガープリント

ASJC Scopus subject areas

  • Computer Science Applications

これを引用

Kuribara, Y., & Kimura, M. (2010). Inquiry optimization techniquefor a topic map database. : Information Wants to be a Topic Map: 6th International Conference on Topic Maps Research and Applications, TMRA 2010 (巻 24, pp. 53-62)