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Improving Multimedia Digital Libraries Usability Applying NLP Sentence Similarity to Multimodal Sentences
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Author(s): Stefano Paolozzi (Consiglio Nazionale delle Ricerche, Italy), Fernando Ferri (Consiglio Nazionale delle Ricerche, Italy)and Patrizia Grifoni (Consiglio Nazionale delle Ricerche, Italy)
Copyright: 2009
Pages: 8
Source title:
Handbook of Research on Digital Libraries: Design, Development, and Impact
Source Author(s)/Editor(s): Yin-Leng Theng (Nanyang Technological University, Singapore), Schubert Foo (Nanyang Technological University, Singapore), Dion Goh (Nanyang Technological University, Singapore)and Jin-Cheon Na (Nanyang Technological University, Singapore)
DOI: 10.4018/978-1-59904-879-6.ch022
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Abstract
This chapter describes multimodality as a means of augmenting information retrieval activities in multimedia digital libraries. Multimodal interaction systems combine visual information with voice, gestures, and other modalities to provide flexible and powerful dialogue approaches. The use of integrated multiple input modes enables users to benefit from the natural approach used in human communication, improving usability of the systems. However, natural interaction approaches may introduce interpretation problems as the systems’ usability is directly proportional to users’ satisfaction. To improve multimedia digital library usability users can express their queries by means of a multimodal sentence. The authors proposes a new approach to match a multimodal sentence with a template stored in a knowledge base to interpret the multimodal sentence and define the multimodal templates similarity.
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