The 11th International Conference on Metadata and Semantics Research (MTSR’17)

I. Foundations

• Typology of metadata and metadata implementations

• The value and cost of metadata

• Quality evaluation in the use of metadata

• Metadata reusability

• New or revised metadata schemas or application profiles

• Metadata standardization

• Empirical studies on metadata and/or ontologies usage

II. Languages and Frameworks for Metadata Management

• SGML, XML, UML in theory and practice

• Languages and Frameworks for Ontology Management

• Metadata and the Semantic Web

• Metadata and Knowledge Management

• Metadata and Software Engineering

• Metadata application of Semantic Web technologies

• Ontologies and Ontology-based Knowledge Management Systems

III. Case Studies

• Metadata and ontologies for librarianship, management of historical archives and archaeological research

• Metadata and ontologies for the design of innovative products and processes

• Metadata and ontologies for health, biological and clinical information management

• Metadata and ontologies in finance, tourism and public administrations

• Metadata and ontologies in industry

• Metadata and ontologies in education

• Metadata and ontologies in agriculture, food and environment

IV. Technological Issues

Technologies for:

• Metadata and ontology storage, Metadata and ontology integration, Metadata extraction and navigation, querying and editing of ontologies

• Learning Objects management

• Search engines, Localization & Visualization

• Mobile challenges

V. Digital Libraries, Information Retrieval, Big, Linked, Social & Open Data

• Ontologies and SKOS

• Linked Data and its applications

• Information visualization

• Metadata quality

• Digital curation

• Impact and evaluation of digital libraries

• Use and re-use of digital data

• Data mining

• Open & Social Data

• Social Networking & Collaboration platforms

• Multilingual IR

• User behavior and modeling

• Big Data semantics, search and mining

• Big Data best practices

• Reasoning on Big Data

VI. Tutorials and Workshops