Design and collection of ontological metadata for enhancing interoperability of language resources
by Shunsuke Kozawa; Hitomi Tohyama; Kiyotaka Uchimoto; Shigeki Matsubara; Hitoshi Isahara
International Journal of Knowledge and Web Intelligence (IJKWI), Vol. 3, No. 3, 2012

Abstract: This paper describes the design and implementation of a large scale ontological database named SHACHI, storing detailed metadata on language resources (LRs) in Asian and Western countries. SHACHI has been constructed to enhance the interoperability of LRs, that is, to effectively combine LRs, to systematically store LR metadata, to provide a common infrastructure for web services, to investigate languages, tag sets, and formats compiled in LRs, and to ultimately utilise all these factors for more efficient development of LRs. This ontological metadata database, containing more than 2,000 compiled LRs such as corpora, dictionaries, thesauruses and lexicons, has an aspect of an archive of a large scale metadata of LRs, and its website is now open to the public and accessible to all internet users. SHACHI metadata set is an extended version of OLAC metadata set which conforms to Dublin Core metadata element set. This paper first presents the methodologies to systematically store LR metadata and efficiently LR catalogues, and then explains the structure of the ontological metadata database, as well as the realisation of the LR catalogue search tool. The usefulness of the ontology search function has been investigated.

Online publication date: Thu, 06-Dec-2012

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Knowledge and Web Intelligence (IJKWI):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com