WOP 2016 - 7th Workshop on Ontology and Semantic Web Patterns

The main aim of the workshop is to discuss and collect solutions to recurrent problems that matter to researchers and practitioners of the Semantic Web field, and that impact on design and engineering of ontologies, linked data, knowledge extraction, and other semantic web applications. We invite the submission of original research results related to the focus areas of the workshop. Research papers (maximum 12 pages LNCS style) should present mature work and document established results, or be short papers presenting proposed research directions, novel ideas, or more general positions or discussions (maximum 5 pages LNCS style).
This year we particularly welcome papers which evaluate the current practice of ontology modeling.
Original research papers and short papers are invited to consider the following (non exhaustive) list of topics:
Ontology design patterns (ODPs) and pattern-based ontologies
Ontology patterns and their relation with standards
Correspondence patterns for ontology matching and integration
Knowledge patterns and knowledge reengineering based on patterns
Processes and services process patterns
Antipatterns and their relations to ODPs
Pattern-based ontology design
Tools and applications for pattern-based knowledge engineering
Pattern-based methods and methodologies for development of semantic applications
Ontology pattern extraction
Pattern-based information extraction
Pattern-based ontology learning
Pattern-based ontology evaluation and selection
Patterns and Linked data (usage, emerging patterns, pattern-driven data publishing, etc.)
Analysis of ontology pattern usage
Data mining patterns and Semantic Web design
Web semantics from a pattern perspective
Reasoning with or using patterns
Relation between NLP patterns (either for learning, or procedural) and ontologies/linked data design
Usage of patterns in business intelligence and conceptual modeling
Patterns in semantic social networks, semantic wikis, semantic blogs
ODPs development and use in specific domains including geosciences, life sciences, digital humanities, cultural heritage, e-history, etc.