Author Description

<p>With the advancements of semantic web, ontology has become the crucial mechanism for representing concepts in various domains. For research and dispersal of customized healthcare services, a major challenge is to efficiently retrieve and analyze individual patient data from a large volume of heterogeneous data over a long time span. This requirement demands effective ontology-based information retrieval approaches for clinical information systems so that the pertinent information can be mined from large amount of distributed data.</p> <p>This unique and groundbreaking book highlights the key advances in ontology-based information retrieval techniques being applied in the healthcare domain and covers the following areas:</p> <ul> <li>Semantic data integration in e-health care systems</li> <li>Keyword-based medical information retrieval</li> <li>Ontology-based query retrieval support for e-health implementation</li> <li>Ontologies as a database management system technology for medical information retrieval</li> <li>Information integration using contextual knowledge and ontology merging</li> <li>Collaborative ontology-based information indexing and retrieval in health informatics</li> <li>An ontology-based text mining framework for vulnerability assessment in health and social care</li> <li>An ontology-based multi-agent system for matchmaking patient healthcare monitoring</li> <li>A multi-agent system for querying heterogeneous data sources with ontologies for reducing cost of customized healthcare systems</li> <li>A methodology for ontology based multi agent systems development</li> <li>Ontology based systems for clinical systems: validity, ethics and regulation</li> </ul>