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Journal on Data Semantics OnlineFirst articles

09-03-2021 | Original Article

AI-Empowered Process Mining for Complex Application Scenarios: Survey and Discussion

The ever-increasing attention of process mining (PM) research to the logs of low structured processes and of non-process-aware systems (e.g., ERP, IoT systems) poses a number of challenges. Indeed, in such cases, the risk of obtaining low-quality …

05-03-2021 | Original Article Open Access

Resource Controllability of Business Processes Under Conditional Uncertainty

A current research problem in the area of business process management deals with the specification and checking of constraints on resources (e.g., users, agents, autonomous systems, etc.) allowed to be committed for the execution of specific …

19-02-2021 | Original Article Open Access

Formal Framework for Checking Compliance of Data-Driven Case Management

Business processes are often specified in descriptive or normative models. Both types of models should adhere to internal and external regulations, such as company guidelines or laws. Employing compliance checking techniques, it is possible to …

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About this journal

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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