Journal on Data Semantics

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.