Sabetghadam, Serwah and 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
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:	https://doi.org/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
URI:	Publisher
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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