Information retrieval can benefit from contextual information to adapt the results to a user's current situation and preferences. Semantics-based retrieval is especially challenging because a change in context may require modifications to the knowledge base at hand. This book introduces a novel approach for context-aware semantics-based information retrieval that covers two aspects. First, a novel measure for the impact of a contextual aspect on the query results is introduced. This measure allows for the identification of relevant contextual information during work flow and user interface design. Developers can identify which contextual aspects strongly influence the outcome of the retrieval task and should therefore be in the user's focus. Second, a method for the integration of contextual information with semantics-based knowledge bases is put forward. Starting from qualitative data on the Semantic Web, the book develops a rule-based implementation for the integration of quantitative contextual information from the Sensor Web. This approach establishes an explicit link between an ontology and the dynamic sensor data. IOS Press is an international science, technical and medical publisher of high-quality books for academics, scientists, and professionals in all fields. Some of the areas we publish in: -Biomedicine -Oncology -Artificial intelligence -Databases and information systems -Maritime engineering -Nanotechnology -Geoengineering -All aspects of physics -E-governance -E-commerce -The knowledge economy -Urban studies -Arms control -Understanding and responding to terrorism -Medical informatics -Computer Sciences Excerpted from Context-Aware Semantics-Based Information Retrieval by Carsten Kessler All rights reserved by the original copyright owners. Excerpts are provided for display purposes only and may not be reproduced, reprinted or distributed without the written permission of the publisher.
