Journal on Data Semantics I 数据语义学期刊 I

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.

Formal Reasoning Techniques for Goal Models
Attribute-Based Semantic Reconciliation of Multiple Data Sources
Data Quality in Web Information Systems
Reasoning about Anonymous Resources and Meta Statements on the
Semantic Web
IF-Map: An Ontology-Mapping Method Based on
Information-Flow Theory
OntoEdit: Multifaceted Inferencing for Ontology Engineering
Distributed Description Logics: Assimilating Information from
Peer Sources
On Using Conceptual Data Modeling for Ontology Engineering
The DAQUINCIS Broker: Querying Data and Their Quality in
Cooperative Information Systems
Author Index