The LNCS Journal on Data Semantics is devoted to the presentation of notable work that, in one way or another, addresses research and development on issues related to data semantics. Based on the highly visible publication platform Lecture Notes in Computer Science, this new journal is widely disseminated and available worldwide.
The scope of the journal ranges from theories supporting the formal definition of semantic content to innovative domain-specific applications of semantic knowledge. The journal addresses researchers and advanced practitioners working on the semantic web, interoperability, mobile information services, data warehousing, knowledge representation and reasoning, conceptual database modeling, ontologies, and artificial intelligence.
Product dimensions: 0.75 (w) x 6.14 (h) x 9.21 (d)
Table of Contents
Generic Relationships in Information Modeling.- EMMA – A Formal Basis for Querying Enhanced Multimedia Meta Objects.- Comparing and Transforming Between Data Models Via an Intermediate Hypergraph Data Model.- iASA: Learning to Annotate the Semantic Web.- A Survey of Schema-Based Matching Approaches.- An Overview and Classification of Adaptive Approaches to InformationExtraction.- View Integration and Cooperation in Databases, Data Warehouses and Web Information Systems.- Semantic Integration of Tree-Structured Data Using Dimension Graphs.- KDD Support Services Based on Data Semantics.- Integrating the Two Main Inference Modes of NKRL, Transformations and Hypotheses.
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Overview
The LNCS Journal on Data Semantics is devoted to the presentation of notable work that, in one way or another, addresses research and development on issues related to data semantics. Based on the highly visible publication platform Lecture Notes in Computer Science, this new journal is widely disseminated and available worldwide.
The scope of the journal ranges from theories supporting the formal definition of semantic content to innovative domain-specific applications of semantic knowledge. The journal addresses researchers and advanced practitioners working on the semantic web, interoperability, mobile information services, data warehousing, knowledge representation and reasoning, conceptual database modeling, ontologies, and artificial intelligence.
Product Details
Table of Contents
Generic Relationships in Information Modeling.- EMMA – A Formal Basis for Querying Enhanced Multimedia Meta Objects.- Comparing and Transforming Between Data Models Via an Intermediate Hypergraph Data Model.- iASA: Learning to Annotate the Semantic Web.- A Survey of Schema-Based Matching Approaches.- An Overview and Classification of Adaptive Approaches to InformationExtraction.- View Integration and Cooperation in Databases, Data Warehouses and Web Information Systems.- Semantic Integration of Tree-Structured Data Using Dimension Graphs.- KDD Support Services Based on Data Semantics.- Integrating the Two Main Inference Modes of NKRL, Transformations and Hypotheses.