Journal on Data Semantics I. Questo articolo non è disponibile.Journal on Data Semantics I

This book constitutes the ?rst volume of the ?rst journal in the new LNCS Jo- nalSubline,theJournalonDataSemantics. Publishingajournalinabookseries might come as a surprise to customers, readers, and librarians, thus we would like to provide some background information and our motivation for introducing this new LNCS subline. As a consequence of the very tight interaction between the Lecture Notes in ComputerScienceseriesandtheinternationalcomputerscienceresearchand- velopment community, we receive quite a few proposals for new archive journals. From the successful launch of workshops or conferences and publication of their proceedings in the LNCS series, it might seem like a natural step to approach the publisher about launching a journal once this speci?c ?eld has gained a c- tain level of maturity and stability. Each year we receive about a dozen such proposals and even more informal inquiries. Like other publishers, it has been our experience that launching a new jo- nal and making it a long-term success is a hard job nowadays, due to a generally di?cult market situation, and library budget restrictions in particular. Because many of the proceedings in LNCS, and especially many of the LNCS postp- ceedings, apply the same strict reviewing and selection criteria as established journals, we started discussing with proposers of new journals the alternative of devoting a few volumes in LNCS to their ?eld, instead of going through the painful Sisyphean adventure of establishing a new journal on its own.

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.