TY - SER AU - Zimányi,Esteban AU - Ram,Sudha AU - Gangemi,Aldo ED - SpringerLink (Online service) TI - Journal on Data Semantics: Concepts and Ideas for Building Knowledgeable Systems SN - 1861-2040 CY - Berlin/Heidelberg PB - Springer Berlin Heidelberg, Imprint: Springer. KW - Information technology KW - Business KW - Data processing KW - Database management KW - Information storage and retrieval KW - Application software KW - Information Systems Applications (incl.Internet) KW - Database Management KW - Artificial Intelligence KW - IT in Business KW - Information Storage and Retrieval N2 - 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 UR - https://doi.org/10.1007/13740.1861-2040 ER -