home > library > publications > inquiry optimization technique for a topic map database

close subject identifiers for Inquiry Optimization Technique for a Topic Map Database
  • http://www.topicmapslab.de/publications/inquiry-optimization-technique-for-a-topic-map-database
Inquiry

Inquiry Optimization Technique for a Topic Map Database

Article, was published by Yuuki Kuribara and Masaomi Kimura at 2010-09-30

In this paper the inquiry optimization technique for a topic map database is presented.

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.

Slides

Tmra2010presentationpdfyukikuribara-101011122708-phpapp01-thumbnail?1286818068

Authors

Yuuki Kuribara

No contact information available. 

Signet_person

Yuuki is author of Inquiry Optimization.. and External Schema for Topic.. .

Masaomi Kimura

No contact information available. 

Signet_person

Masaomi is author of Inquiry Optimization.. and External Schema for Topic.. .

 

Follow us on Twitter

maiana

Topic Maps provides a proven means for data integration scaling to the
web, as well as a core technology for our highly flexible applications
with largely autogenerated frontend structures.

Stekeivevk_1_
Stefan Kesberg
topicWorks Navigator
practical-semantics.com
Topic Maps Lab auf der Cebit 2011
Partners

Graduate from the Topic Maps Lab

onotoa