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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kaur, J. Yusof, M. Boursier, P. Ogier, J.-M. |
| Copyright Year | 2010 |
| Description | Author affiliation: Faculty of Information Technology & Multimedia Communications, Open University Malaysia, 50480 Kuala Lumpur, Malaysia (Kaur, J.; Yusof, M.) || Pôle Sciences et Technologie, Laboratoire L3i, Université de La Rochelle, 17042 La Rochelle cédex 1, France (Boursier, P.; Ogier, J.-M.) |
| Abstract | Internet has revolutionized knowledge acquisition. Scientific knowledge in books, journals, and conference proceedings are available in digital libraries online. Current digital library end users are not adequately equipped with the technological know-how on information retrieval. While these systems normally retrieve documents based on keywords, users normally have a more abstract perception what information they require. Semantic gap, which is the disparity between user's request and query results, has been identified as a challenging issue. In this paper, we are interested in scientific document indexing for retrieval. Knowing the structure of such a document is helpful to the retrieval process, as the document is decomposed into different elements and specific indexing methods are applied to the different element types. Also, as the document is viewed as a composition of many elements, query responses may return some of the elements instead of the entire document. Therefore the aim of this paper is to present a novel approach to information retrieval from scientific documents, combining text mining with image mining. |
| Starting Page | 732 |
| Ending Page | 736 |
| File Size | 103259 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424455850 |
| e-ISBN | 9781424455867 |
| DOI | 10.1109/ICCAE.2010.5451344 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-02-26 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Text mining Knowledge acquisition Image retrieval Information retrieval Data mining Conference proceedings Software libraries Internet Books Text and Image mining Document Retrieval Indexing Digital Libraries |
| Content Type | Text |
| Resource Type | Article |
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