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Effective and efficient data management is vital to today's applications. Traditional data management mainly focuses on information procession involving data within a single organisation. Data are unified according to the same schema and there exists an agreement between the interacting units as to the correct mapping between these concepts. Nowadays, data management systems have to handle a variety of data sources, from proprietary ones to data publicly available. Investigating the relevance between data for information sharing has become an essential challenge for data management. This book explores the technology and application of semantic data management by bringing together various research studies in different subfields.
Effective and efficient data management is vital to today's applications. Traditional data management mainly focuses on information procession involving data within a single organisation. Data are unified according to the same schema and there exists an agreement between the interacting units as to the correct mapping between these concepts. Nowadays, data management systems have to handle a variety of data sources, from proprietary ones to data publicly available. Investigating the relevance between data for information sharing has become an essential challenge for data management. This book explores the technology and application of semantic data management by bringing together various research studies in different subfields.
Interpretations of the Web of Data; Toward Semantics-Aware Web Crawling; A Semantic Tree Representation for Document Categorization with a Composite Kernel; Ontology Reuse-is it Feasible?; Computational Logic & Knowledge Representation Issues in Data Analysis for the Semantic Web; Applying Semantic Web Technologies to Biological Data Integration & Visualization; An Ontology & Peer-to-peer based Data & Service Unified Discovery System; The Design & Development of a Semantic Environment for Holistic eGovernment Services; Semantic Topic Modeling & its Application in Bioinformatics; Supporting a User in his Annotation & Browsing Activities in Folksonomies; Data Management in Sensor Networks using Semantic Web Technologies; Chinese Semantic Dependency Analysis; Creating Personal Content Management Systems Using Semantic Web Technologies; A hybrid Data Layer to Utilize Open Content for Higher-Layered Applications; Using Semantics Equivalences for MRL Queries Rewriting in Multi-data Source Fusion Systems; 3D Star Coordinate-based Visualization of Relation Clusters from OWL Ontologies; Annotating Semantics of Multidisciplinary Engineering Resources to Support Knowledge Sharing in Sustainable Manufacturing; Index.
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