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Semantic Computing Course
The Semantic Computing course (SOEN 691B) is offered at Concordia University, providing graduate students with a unique opportunity to study research and development of novel semantic software systems. The course is taught by Prof. René Witte and supported by team members from the Semantic Software Lab. Students from other universities in Québec can register for this course through CREPUQ.
This course provide an introduction to selected topics from Semantic Computing, including text mining, tagging and tag analysis, recommender systems, RDF and linked data, semantic desktops and semantic wikis.
Semantic Assistants: Eclipse Plug-In
Natural Language Processing (NLP) for Software Engineering: Our Eclipse plug-in integrates the Eclipse development environment into the Semantic Assistants architecture. It provides a user interface for offering various Natural Language Processing services to users. In particular, when using Eclipse as a software development environment, you can now offer novel semantic analysis services, such as named entity detection or quality analysis of source code comments, to software developers.
Semantic Assistants at IBM CASCON 2011
Last week I presented our Semantic Assistants Eclipse plug-in at the IBM Conference of Advances studies in Markham, Ontario. CASCON is a conference hosted by IBM's Centre for Advanced Studies (CAS) in partnership with NSERC with the goal of showcasing various research projects in progress by individuals in academia, industry and the general public.
OwlExporter v3.0 Released
We just released a new version of the OwlExporter ontology population plugin for GATE. The OwlExporter PR can be added to any NLP pipeline to facilitate the population of an existing OWL ontology with entities detected in the corpus. It supports the population of separate NLP- and domain-ontologies and has support for some advanced features, like the export of coreference chains.
In this release, we included a pre-compiled binary and a complete example pipeline that transforms GATE's ANNIE information extraction example into an ontology population system. We also completely revamped the documentation and website to make it more accessible to ontology population novices.
