Suggesting Japanese subject headings using web information resources

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چکیده

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Suggesting Japanese Subject Headings using Web Information Resources

It is well-known that suggesting subject headings according to user queries is useful for subject searches (e.g., the MeSH database for MEDLINE (“MeSH databse,” n.d.), RedLightGreen (“RedLightGreen,” n.d.)). However, few systems suggest subject headings for OPACs in Japan. Some systems (e.g. “National Diet Library NDL-OPAC,” n.d.), which offer users a function that retrieves subject headings, a...

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Suggesting Subject Headings Using Web Information Sources

We proposed a method that suggests subject headings based on user queries when a pattern-matching algorithm fails to locate subject searches for Online Public Access Catalogs (OPAC). We combined information obtained from Wikipedia, Amazon, and Google for query expansion. Our method has two main advantages: (1) availability for any library without customizing OPACs, and (2) ability to suggest su...

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Citation Analysis with Medical Subject Headings (MeSH) using the Web of Knowledge: A new routine

Citation analysis of documents retrieved from the Medline database (at the Web of Knowledge) has been possible only on a case-by-case basis. A technique is here developed for citation analysis in batch mode using both Medical Subject Headings (MeSH) at the Web of Knowledge and the Science Citation Index at the Web of Science. This freeware routine is applied to the case of “Brugada Syndrome,” a...

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Subject Categorization for Web Educational Resources using MLP

The purpose of this study is to develop subject categorization methods for educational resources using multilayer perceptron (MLP) and to examine the performance of the test documents as an application system. To examine the performance two methods are examined: Latent Semantic Indexing method (LSI) and a three layer feedforward network as a simple MLP. The document vectors were estimated by th...

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Improving information retrieval using Medical Subject Headings Concepts: a test case on rare and chronic diseases.

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ژورنال

عنوان ژورنال: Proceedings of the American Society for Information Science and Technology

سال: 2007

ISSN: 0044-7870

DOI: 10.1002/meet.14504301228