OWLED 2015 - 12th OWL: Experiences and Directions Workshop (OWLED)

The aim of the OWL: Experiences and Directions Workshop (OWLED) is to establish an international forum for the OWL community, where practitioners in industry and academia, tool developers, and others interested in OWL can describe real and potential applications, share experiences and discuss requirements for language extensions/modifications.
OWL has become the representational model of choice for supporting interoperability in many industries. With its rise in popularity, as well as the number of publicly available ontologies, it becomes important to focus on the processes by which ontologies can be engineered through reuse.
In this edition of OWLED we aim to bridge the gap between ontology engineering practices and software engineering, where reuse is common practice, and we welcome submissions of papers describing reuse methods employed throughout the ontology development cycle; modeling / terminological decisions, alignment and comparison between ontologies, how ontologies are stored, versioned, distributed, and consumed over the Web. As with previous editions, we also welcome proposals for improving the OWL standard.
This year we have a special ontology track, with submissions of ontologies that present interesting modeling problems or that can generate challenging tasks with respect to OWLED topics (e.g., ontologies that are challenging for reasoners to handle).
Topics of Interest
Papers related to any aspects of OWL and extensions, applications, theory, methods and tools, are welcome.
Topics of interest include, but are not limited to:
Application driven requirements for (extensions of) OWL
Applications of OWL, particularly
from industry or
for data integration
for service interoperability
for sophisticated/non-obvious inference
for knowledge discovery
and within specific domains e.g. law; biology and biomedicine; eLearning
Experience of using OWL: notably, highly expressive ontologies or the OWL 2 Profiles
Evaluation of OWL tools (e.g., ontology editors, versioning tools, reasoners)
Benchmarks for OWL tools
Performance and scalability issues and improvements
Extensions to OWL
OWL and Rules
Ontology engineering techniques and experience reports
Non-standard reasoning services (implementation and requirements for)
Explanation
Translating natural language into OWL (and vice-versa, i.e., verbalisation)
Ontology comprehension and visualisation
Multilingual OWL
Modelling issues
Reuse of OWL ontologies
Tool descriptions and experience reports, including editors, visualisation, parsers and syntax checkers
Collaborative editing of ontologies
Comparison of OWL ontologies (diff)
Versioning of OWL ontologies
Alignment of OWL ontologies
Ontology modularity and views
Query answering with OWL
SPARQL and OWL
Linked Data and OWL
Ontology-based data access (e.g., ontologies for big data, data integration, data fusion)
Cognitive aspects of ontology engineering