NDLI: Automated semantic annotation and retrieval based on sharable ontology and case-based learning techniques

Content Provider	IEEE Xplore Digital Library
Author	Von-Wun Soo Chen-Yu Lee Chung-Cheng Li Shu Lei Chen Ching-chih Chen
Copyright Year	2003
Description	Author affiliation: Dept. of Comput. Sci., Nat. Tsing Hua Univ., Hsinchu, Taiwan (Von-Wun Soo; Chen-Yu Lee; Chung-Cheng Li; Shu Lei Chen)
Abstract	Effective information retrieval (IR) using domain knowledge and semantics is one of the major challenges in IR. We propose a framework that can facilitate image retrieval based on a sharable domain ontology and thesaurus. In particular, case-based learning (CBL) using a natural language phrase parser is proposed to convert a natural language query into resource description framework (RDF) format, a semantic-web standard of metadata description that supports machine readable semantic representation. This same parser also is extended to perform semantic annotation on the descriptive metadata of images and convert metadata automatically into the same RDF representation. The retrieval of images then can be conducted by matching the semantic and structural descriptions of the user query with those of the annotated descriptive metadata of images. We tested in our problem domain by retrieving the historical and cultural images taken from Dr. Ching-chih Chen's "First Emperor of China" CD-ROM (1991) as part of our productive international digital library collaboration. We have constructed and implemented the domain ontology, a Mandarin Chinese thesaurus, as well as the similarity match and retrieval algorithms in order to test our proposed framework. Our experiments have shown the feasibility and usability of these approaches.
Sponsorship	IEEE Tech. Committee on Digital Libraries (TCDL) ACM SIGIR ACM SIGWEB Coalition for Networked Inf. (CNI) DELOS American Soc. Inf., Sci. & Technol. (ASIST)
Starting Page	61
Ending Page	72
File Size	786566
Page Count	12
File Format	PDF
ISBN	0769519393
DOI	10.1109/JCDL.2003.1204844
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-05-27
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Ontologies Image retrieval Resource description framework Information retrieval Thesauri Natural languages Image converters Testing Machine learning Cultural differences
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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