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Author Sabetghadam, Serwah ♦ Lupu, Mihai ♦ Rauber, Andreas
Source CiteSeerX
Content type Text
File Format PDF
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Generic Model ♦ Semantic Multimodal Information Retrieval ♦ Large Multimodal Document Collection ♦ Information Retrieval ♦ Graph-based Model ♦ Multimodal Information Retrieval ♦ Available Text ♦ Information Character ♦ Multimodal Search ♦ Useful Information ♦ Retrieval Purpose ♦ Form Part ♦ Many Source ♦ Related Information Item ♦ Di Erent Modality ♦ Similarity Relation ♦ Information Object ♦ Information Item ♦ Networked Set ♦ Faceted View ♦ Major Challenge
Abstract Finding useful information from large multimodal document collections such as the WWW is one of the major challenges of Information Retrieval (IR). The many sources of information now available- text, images, audio, video and more- increases the need for multimodal search. Particularly important is also the recognition, that each information item is inherently multimodal (i.e. has aspects in its information character that stem from di↵erent modalities) and forms part of a networked set of related information items. In this paper we propose a graph-based model for multimodal information retrieval based on a faceted view of information objects. For retrieval purposes, we consider both relatedness and similarity relations between objects. 1
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article