Database Systems and Knowledgebase Systems share many common principles. Data & Knowledge Engineering (DKE) stimulates the exchange of ideas and interaction between these two related fields of interest. DKE reaches a world-wide audience of researchers, designers, managers and users. The major aim of the journal is to identify, investigate and analyze the underlying principles in the design and effective use of these systems. DKE achieves this aim by publishing original research results, technical advances and news items concerning data engineering, knowledge engineering, and the interface of these two fields.

DKE covers the following topics:

1. Representation and Manipulation of Data & Knowledge: Conceptual data models. Knowledge representation techniques. Data/knowledge manipulation languages and techniques.

2. Architectures of database, expert, or knowledge-based systems: New architectures for database / knowledge base / expert systems, design and implementation techniques, languages and user interfaces, distributed architectures.

3. Construction of data/knowledge bases: Data / knowledge base design methodologies and tools, data/knowledge acquisition methods, integrity/security/maintenance issues.

4. Applications, case studies, and management issues: Data administration issues, knowledge engineering practice, office and engineering applications.

5. Tools for specifying and developing Data and Knowledge Bases using tools based on Linguistics or Human Machine Interface principles.

6. Communication aspects involved in implementing, designing and using KBSs in Cyberspace.

Plus... conference reports, calendar of events, book reviews etc.

Special Issue on Advances in knowledge discovery and management, best papers of EGC 2025
提出日: 2025-08-29

This special issue is a selection of the best papers of the French-speaking conference on Knowledge Extraction and Management (EGC) 2025. EGC is the reference conference for the French community in Knowledge Extraction and Management since its inception in 2001. The topics of EGC include machine learning, knowledge engineering and representation, data and knowledge reasoning, data mining and analysis, information systems, databases, semantic Web and open data, etc. All innovative work on these topics is welcome.

EGC 2025 will focus on data management and knowledge extraction (a.k.a. KDD) for scientific research. The massive digitalization of scientific data and of the practices in scientific research are witnessing technical and epistemological transformations. Fundamental questions of data management and knowledge extraction are taking on an essential role in all fields of research: in life sciences (biology, medicine, epidemiology, etc.), environmental sciences (climate, agronomy, etc.), human sciences (politics, social organizations, literature, education, geography), physics/chemistry (astronomy, materials, mechanics), etc.

The 2025's edition of the French EGC conference aims to promote fundamental research in computer science that tackles the challenges of empowering scientific research with data, those of the interface between KDD and other scientific disciplines, and the ethical and societal issues of their use.Edit Full scope of the Special Issue

Guest editors:

Thomas GUYET, PhD
National Research Institute for Computing and Automation La Doua, Villeurbanne, France.
Email: thomas.guyet@inria.fr

Baptiste LAFABRÈGUE, PhD
University of Strasbourg, Strasbourg, France. Email: lafabregue@unistra.fr

Aurélie LEBORGNE, PhD
University of Strasbourg, Strasbourg, France. 
Email: aurelie.leborgne@unistra.fr

Manuscript submission information:

The journal's submission platform (Editorial Manager®) will be open for submissions to this Special Issue from February 1st, 2025. Please refer to the Guide for Authors to prepare your manuscript and select the article type of “VSI: EGC 2025” when submitting your manuscript online. Both the Guide for Authors and the submission portal could be found on the Journal Homepage: DKE | Data & Knowledge Engineering | Journal | ScienceDirect.com by Elsevier.

Timeline:

Submission Open Date *01/02/2025
Final Manuscript Submission Deadline *29/08/2025
Editorial Acceptance Deadline *01/10/2025

Keywords:

Knowledge extraction, Data analysis, Data Management, Knowledge representation