Sabetghadam, Serwah, Bierig, Ralf and Rauber, Andreas (2014) A Hybrid Approach for Multi-faceted IR in Multimodal Domain. Information Access Evaluation. Multilinguality, Multimodality, and Interaction. pp. 86-97. ISSN 0302-9743
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Abstract
We present a model for multimodal information retrieval,
leveraging different information sources to improve the effectiveness of
a retrieval system. This method takes into account multifaceted IR in
addition to the semantic relations present in data objects, which can
be used to answer complex queries, combining similarity and semantic
search. By providing a graph data structure and utilizing hybrid search in
addition to structured search techniques, we take advantage of relations
in data to improve retrieval. We tested the model with ImageCLEF 2011
Wikipedia collection, as a multimodal benchmark data collection, for an
image retrieval task.
Item Type: | Article |
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Keywords: | Multimodal; Information Retrieval; Graph; Hybrid Search; Facet; Spreading Activation; |
Academic Unit: | Faculty of Science and Engineering > Computer Science Faculty of Science and Engineering > Research Institutes > Hamilton Institute |
Item ID: | 15217 |
Identification Number: | 10.1007/978-3-319-11382-1 |
Depositing User: | Ralf Bierig |
Date Deposited: | 11 Jan 2022 12:38 |
Journal or Publication Title: | Information Access Evaluation. Multilinguality, Multimodality, and Interaction |
Publisher: | Springer |
Refereed: | Yes |
Related URLs: | |
URI: | https://mu.eprints-hosting.org/id/eprint/15217 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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