A Hybrid Approach for Multi-faceted IR in Multimodal Domain

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• 作者：Serwah Sabetghadam (22)
  Ralf Bierig (22)
  Andreas Rauber (22)
  
• 关键词：Multimodal ; Information Retrieval ; Graph ; Hybrid Search ; Facet ; Spreading Activation
• 刊名：Lecture Notes in Computer Science
• 出版年：2014
• 出版时间：2014
• 年：2014
• 卷：8685
• 期：1
• 页码：86-97
• 全文大小：249 KB
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• 作者单位：Serwah Sabetghadam (22)
  Ralf Bierig (22)
  Andreas Rauber (22)
  
  22. Institute of Software Technology and Interactive Systems, Vienna University of Technology, Austria
  
• ISSN：1611-3349

文摘

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.