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Computer Science - Database Management & Information Retrieval | Journal on Data Semantics (Editorial Board)

Journal on Data Semantics

Journal on Data Semantics

Concepts and Ideas for Building Knowledgeable Systems

Editor-in-Chief: Esteban Zimányi

ISSN: 1861-2032 (print version)
ISSN: 1861-2040 (electronic version)

Journal no. 13740

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Editor-in-Chief

Esteban Zimányi
Department of Computer and Decision Engineering
Université Libre de Bruxelles
Avenue F.D. Roosevelt 50
1050 Bruxelles, Belgium
estebanzimanyi@gmail.com

Co-Editors

Sudha Ram
Department of Management Information Systems
Eller College of Management
The University of Arizona
Tucson, AZ 85721, USA
sram@email.arizona.edu

Heiner Stuckenschmidt
Institut für Informatik
Universität Mannheim, B6, 26
68159 Mannheim, Germany
heiner@informatik.uni-mannheim.de

Honorary Editors-ín-Chief

Stefano Spaccapietra, EPFL, Switzerland
Lois Delcambre, Portland State University, USA

Editorial Board

Alberto Abelló, Universitat Politècnica de Catalunya, Spain
Carlo Batini
, Università di Milano-Bicocca, Italy
Alexander Borgida, Rutgers University ,USA
Raúl García Castro, Universidad Politécnica de Madrid, Spain
Huiping Cao
, New Mexico State University, USA
Tiziana Catarci, Università di Roma La Sapienza, Italy
Sarah Cohen-Boulakia, University of Paris-Sud 11, France
Isabel Cruz, University of Illinois at Chicago, USA
Olivier Curé, University Paris-Est Marne-la-Vallée, France
Karen C. Davis, University of Cincinnati, USA
Dejing Dou, University of Oregon, USA
Jérôme Euzenat, INRIA & LIG, France
Avigdor Gal, Technion, Israel
Fausto Giunchiglia, University of Trento, Italy
Matteo Golfarelli, University of Bologna, Italy
Nicola Guarino
, CNR, Italy
Katja Hose, Aalborg University, Denmark
Andreas Hotho
, Würzburg University, Germany
Bill Howe, University of Washington, USA
Arantza Illarramendi, Basque Country University, Spain
Marta Indulska, University of Queensland in Brisbane, Australia
Larry Kerschberg
, George Mason University, USA
Vijay Khatri, Indiana University, USA
Michael Kifer, State University of New York at Stony Brook, USA
Ulf Leser, Humboldt University of Berlin, Germany
Tok Wang Ling, National University of Singapore, Singapore
Bertram Ludäscher, UC Davis, USA
Alessandro Moschitti, University of Trento, Italy
Antoni Olivé, Universitat Politècnica de Catalunya, Spain
Jacco van Ossenbruggen
, CWI Amsterdam, The Netherlands
José Palazzo M. de Oliveira, Universidade Federal do Rio Grande do Sul, Brazil
Jeffrey Parsons, Memorial University of Newfoundland, Canada
Sebastian Rudolph, Dresden University of Technology, Germany
Marta Sabou, MODUL University Vienna, Austria
Klaus-Dieter Schewe, Software Competence Center Hagenberg, Austria
Pavel Shvaiko, Informatica Trentina, Italy
Michael Strube, HITS gGmbH, Germany
James F. Terwilliger, Microsoft Corporation, USA
Dave Thau, Google, USA
Giovanni Tummarello, Fondazione Bruno Kessler, Italy
Susan D. Urban, Texas Tech University, USA
Alejandro Vaisman, Instituto Tecnológico de Buenos Aires, Argentina
Stijn Vansummeren, Université Libre de Bruxelles, Belgium
Yannis Velegrakis, University of Trento, Italy
Carson Woo, University of British Columbia, Canada
Eric Yu
, University of Toronto, Canada
Filip Zelezny, Czech Technical University in Prague, Czech Republic

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For authors and editors

  • Aims and Scope

    Aims and Scope

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    With the Web serving as a huge worldwide data repository, issues related to data semantics (familiar to database modelers since the 1970s) have again become of paramount importance. As Web data comes from heterogeneous, possibly unknown and mostly uncontrolled sources, it is anything but obvious how the information beyond the most basic factual data can be correctly understood. The same concern applies to data that is exchanged between systems that need to agree on its meaning in order to avoid dangerous misunderstandings. Semantic elicitation and the availability of appropriate semantic metadata are the key to the meaningful use of information in modern distributed environments.

    The Journal on Data Semantics (JoDS) provides an international high-quality publication venue for researchers whose themes cover issues related to information semantics. Its target domain ranges from theories supporting the formal definition of semantic content to innovative domain-specific applications of semantic knowledge, thus covering work done on conceptual modeling, databases, Semantic Web, information systems, workflow and process modeling, ontologies, business intelligence, interoperability, mobile information services, data warehousing, knowledge representation and reasoning, and artificial intelligence.

    Topics of relevance to this journal include (but are not limited to):

    • Conceptualization, knowledge representation and reasoning
    • Conceptual data, process, workflow, and event modeling
    • Provenance, evolution and change management
    • Context and context-dependent representations and processing
    • Multi-model and multi-paradigm approaches
    • Mappings, transformations, reverse engineering and semantic elicitation
    • Semantic interoperability, semantic mediators and metadata management
    • Ontology models and languages, ontology-driven applications
    • Ontology, schema, data and process integration, reconciliation and alignment
    • Web semantics and semi-structured data
    • Integrity description and handling
    • Semantics in data mining and knowledge extraction
    • Semantics in business intelligence, analytics and data visualization
    • Spatial, temporal, multimedia and multimodal semantics
    • Semantic mobility data and services for mobile users
    • Supporting tools and applications of semantic-driven approaches
    Submissions may qualify as research papers, survey articles, industry papers, position papers, or short communications, and should contain original material that has not been submitted or published elsewhere.
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  • Copyright Information

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