You are previewing International Journal of Information Retrieval Research (IJIRR) Volume 5, Issue 3.
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International Journal of Information Retrieval Research (IJIRR) Volume 5, Issue 3

Book Description

The International Journal of Information Retrieval Research (IJIRR) publishes original, innovative, and creative research in the retrieval of information. This journal focuses on theories and methods with an enterprise-wide perspective and addresses interdisciplinary and multidisciplinary applications in data, text, and document retrieval. Targeting information engineers, scientists, and related professionals, IJIRR integrates interdisciplinary and multidisciplinary needs for a complete approach to the significant issue of data retrieval in the era of information fusion.

This issue contains the following articles:

  • Extracting Entities of Emergent Events from Social Streams Based on a Data-Cluster Slicing Approach for Ontology Engineering
  • Application of Domain Ontologies to Natural Language Processing: A Case Study for Drug-Drug Interactions
  • Document Clustering Using an Ontology-Based Vector Space Model
  • Ontological Random Forests for Image Classification
  • Facilitating Learning Resource Retrieval for Students with Disabilities through an Ontology-Driven and Disability-Aware Virtual Learning Environment