eeks to create a collection of macros for extracting and generating relationships between information using ontologies for the Semantic Web, which will leverage DSpace, use Protege as the relationship mapper for OWL generation and be tested using MIT’s Piggy Bank extraction project. This is research using Lisp to develop macros for generating and processing semantic data, similar to RacerMaster, particularly the processing of OWL & RDF vocabularies and establishing relationships faster using functional programming to rapidly generate ontological relationships.
It is also hoped that this project will apply speed paths based off of research from Eugene Agichtein & Silviu Cucerzan regarding predicting performance of relational extraction tasks (RE). This project seeks to re-create some of the work done by with RacerPro, however the focus of this project will be on developing a language model for Reasoning Systems primarily to allow for an open-source and vibrant community of developers to continue the work of improving reasoning systems to drive the Semantic Web.
The exact idea for this project is presented in a paper: “Building Ontological Data From Lists For Semantic Processing”, which is being readied for Conference on Information and Knowledge Management (CIKM 2006). It relies heavily on s-xml, cl-prevelance and cells.
The project has the following goals:
develop easy to use macros for T-Boxes, A-Boxes, ect. process OWL Lite / OWL DL documents. implement SHIQ. implement the OWL-QL query processing system from RasterPro for compatibility. Plug in to modelers such as Stanford’s Protege.
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