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Journal on Data Semantics

Concepts and Ideas for Building Knowledgeable Systems

Journal on Data Semantics OnlineFirst articles

16.11.2018 | Original Article

Ant-Colony Optimisation for Path Recommendation in Business Process Execution

In business process management, operational support concerns methods and tools to support users during the execution of business processes. One possible way of supporting users is to suggest the optimal way to complete the execution of a business …

01.11.2018 | Original Article

Automated Planning for Business Process Management

Business Process Management (BPM) is a central element of today’s organizations. Over the years, its main focus has been the support of business processes (BPs) in highly controlled domains. However—in the current era of Big Data and …

29.10.2018 | Editorial

Preface of the Special Issue of the Sixth French-Speaking Conference on Ontologies

06.10.2018 | Original Article

The Short-term User Modeling for Predictive Applications

One of the important purposes of data mining on the web is to reveal hidden characteristics of users including their behavior. These characteristics are often used to analyze previous user actions, his/her preferences, and also to predict the …

24.09.2018 | Original Article

The Role of Common-Sense Knowledge in Assessing Semantic Association

Natural language processing techniques often aim at automatically extracting semantics from texts. However, they usually need some available semantic knowledge contained in dictionaries and resources such as WordNet, Wikipedia, and FrameNet. In …

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Über diese Zeitschrift

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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