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dc.contributor.authorTjondronegoro, D
dc.contributor.authorZhang, J
dc.contributor.authorGu, J
dc.contributor.authorNguyen, A
dc.contributor.authorGeva, S
dc.contributor.editorFuhr, N
dc.contributor.editorLalmas, M
dc.contributor.editorMalik, S
dc.contributor.editorKazai, G
dc.date.accessioned2020-01-14T06:40:05Z
dc.date.available2020-01-14T06:40:05Z
dc.date.issued2006
dc.identifier.isbn9783540349624en_US
dc.identifier.issn0302-9743en_US
dc.identifier.doi10.1007/978-3-540-34963-1_39en_US
dc.identifier.urihttp://hdl.handle.net/10072/390261
dc.description.abstractMany XML documents contain a mixture of text and images. Images play an important role in webpage or article presentation. However, popular Information Retrieval systems still largely depend on pure text retrieval as it is believed that text descriptions including body text and the caption of images contain precise information. On the other hand, images are more attractive and easier to understand than pure text. We assume that if the image content is used in addition to the pure text-based retrieval, the retrieval result should be better than text-only or image-only retrieval. We test this hypothesis by doing a series of experiments using the Lonely Planet XML document collection. Two search engines, an XML document search engine using both content and structure based on text, and a content-based image search engine were used at the same time. The results generated by these two search engines were merged together to form a new result. This paper presents our current work, initial results and vision into future work.en_US
dc.languageEnglishen_US
dc.publisherSpringer-Verlag Berlin Heidelbergen_US
dc.relation.ispartofconferencename4th International Workshop of the Initiative for the Evaluation of XML Retrievalen_US
dc.relation.ispartofconferencetitleLecture Notes in Computer Scienceen_US
dc.relation.ispartofdatefrom2005-11-28
dc.relation.ispartofdateto2005-11-30
dc.relation.ispartoflocationDagstuhl, Germanyen_US
dc.relation.ispartofpagefrom511en_US
dc.relation.ispartofpageto524en_US
dc.relation.ispartofvolume3977en_US
dc.subject.keywordsScience & Technologyen_US
dc.subject.keywordsComputer Science, Artificial Intelligenceen_US
dc.subject.keywordsComputer Science, Theory & Methodsen_US
dc.titleIntegrating text retrieval and image retrieval in XML document searchingen_US
dc.typeConference outputen_US
dcterms.bibliographicCitationTjondronegoro, D; Zhang, J; Gu, J; Nguyen, A; Geva, S, Integrating text retrieval and image retrieval in XML document searching, Lecture Notes in Computer Science, 2006, 3977, pp. 511-524en_US
dc.date.updated2020-01-14T06:35:16Z
dc.description.versionPost-printen_US
gro.rights.copyright© 2006 Springer-Verlag Berlin Heidelberg. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher.The original publication is available at www.springerlink.comen_US
gro.hasfulltextFull Text
gro.griffith.authorTjondronegoro, Dian W.


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