Journal on Data Semantics XI

This publication features notable work that addresses research and development on issues related to data semantics. Coverage ranges from theories supporting the formal definition of semantic content to innovative domain-specific applications.

Papers were invited based on their quality, relevance and significance, and the - ability of extending their results. Extended versions prepared by authors were subject to the traditional two-round scholarly review process, and the authors were required to respond to all concerns expressed by the reviewers before papers were accepted. Eight papers were eventually accepted for publication in this issue. The selection of SWESE best papers eventually resulted in the acceptance of two papers. The first paper Experiences in the Design of Semantic Services Using Web En- neering Methods and Tools, by Brambilla, Ceri, Celino, Cerizza, Della Valle, Facca, Turati, and Tzviskou, shows how classical software engineering methods (such as formal business process development and automatic code generation) combine with semantic methods and tools (i.e., ontology engineering, semantic service annotation and discovery) to forge a new approach to software development for the Semantic Web. In the paper, the authors present their experience in the participation to the - mantic Web Service Challenge 2006, where the proposed approach achieved very good results in solving the proposed problems. The second paper Automatically Generated Model Transformations Using Ont- ogy Engineering Space, by Roser and Bauer, presents an approach to using the - mantic technologies to improve cross-organizational modeling by automated gene- tion of model transformations. By automated generation of mappings it offers new possibilities for the integration of domain specific languages and 'legacy' models in a plug&play manner, making it easier for new organizations to join collaborations.

From the reviews:

"This collection consists of extended versions of selected papers from 2006 conferences and workshops on the semantics of data. The workshops and conferences from which the selections are drawn are relatively specialized; therefore, wider dissemination of the most interesting results presented is a useful service to the data semantics research community." (R. M. Malyankar, ACM Computing Reviews, April, 2009)

Texte du rabat

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. 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.

Volume XI contains extended versions of eight revised and selected papers from several international workshops in the field, which took place in 2006.

Contenu
Second SWESE Workshop.- Experiences in the Design of Semantic Services Using Web Engineering Methods and Tools.- Automatic Generation and Evolution of Model Transformations Using Ontology Engineering Space.- Second International Workshop on Database Interoperability (InterDB 2006).- The Harmony Integration Workbench.- International Workshop on Object-Role Modeling (ORM 2006).- Using ORM-Based Models as a Foundation for a Data Quality Firewall in an Advanced Generation Data Warehouse (Extended Version).- 15th International Conference on Knowledge Engineering and Knowledge Management Managing Knowledge in a World of Networks (EKAW 2006).- Discovering Groups of Sibling Terms from Web Documents with XTREEM-SG.- International Workshop on Ontology Matching (OM-2006).- Exploring the Semantic Web as Background Knowledge for Ontology Matching.- ER 2006 Workshops.- Time-Aggregated Graphs for Modeling Spatio-temporal Networks.- An Architecture for Emergent Semantics.