Designing User-Interface for a Digital Library with Concept Learner Assisting Users to Find the Required Documents
| Project/Area Number |
11680419
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
情報システム学(含情報図書館学)
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| Research Institution | Oita University |
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Principal Investigator |
ITO Tetsuro Oita University, Faculty of Engineering, Professor, 工学部, 教授 (30029558)
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| Project Period (FY) |
1999 – 2000
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| Project Status |
Completed (Fiscal Year 2000)
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| Budget Amount *help |
¥1,500,000 (Direct Cost: ¥1,500,000)
Fiscal Year 2000: ¥500,000 (Direct Cost: ¥500,000)
Fiscal Year 1999: ¥1,000,000 (Direct Cost: ¥1,000,000)
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| Keywords | digital library / information retrieval / browsing support / conceptual treatments / term-senses / will-be relevant information / concept learning / information visualization / ブラウジング / 概念階層 / 多義性の処理 |
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| Research Abstract |
The vocabulary problem in information retrieval can be dissolved and the document/query contents can be well captured when the document/query terms are replaced by their senses in a concept hierarchy. The point is how to specify the appropriate senses. We first formulate methods of treating term-sense ambiguities, which select only the senses that contribute to keep the retrieval performance high and express the documents contents concisely, by capturing conceptual relations between a query and a document through m-to-l correspondences of the senses.
The concept hierarchies in the above are edited so as to reflect the conceptual relations common to all the users, and therefore they will not reflect the individual way of thinking. We secondly proposed an information retrieval paradigm, where the documents to be examined are collected in a form of a digital library and a user is assisted when he/she browses in a digital library to retrieve the documents meeting his/her requirements. The assistance information is caught by an instance-based learning algorithm, which collects interactively the relevant/non-relevant documents.
The advantages of the proposed methods are fully tested by computational and statistical experiments on two test-collections as to computer/information science and medical science. A digital library and its navigator are also designed and constructed so that the user's perceptual burden for browsing is minimized.
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Report
(3 results)
Research Products
(15 results)
