Wednesday, August 20, 2014
03:15 PM - 04:00 PM
|Level: ||Technical - Intermediate|
An Army organization wished to have an OWL ontology to cover the Condition-Based Maintenance Plus (CBM+) domain, in order to help standardize the maintenance terminology used across Army elements. This ontology was to be based on Basic Formal Ontology 2 (BFO2). To help integrate the ontology with their DoD Architecture Framework (DoDAF) artifacts, an alignment was requested between the OWL ontology and a standard logistics Logical Data Model (LDM). In this talk, we provide an overview of this work, with an emphasis on various challenges and solutions:
- Bridging between maintenance Subject Matter Experts (SMEs) and the constraints of OWL and BFO
- Dealing with the work-in-progress state of BFO 2 and its related ontologies
- Handling the semantic looseness of the LDM by using SKOS
Mr. Lee has a background in AI (NLP) and Linguistics. He has developed and customized multiple information extraction systems and developed multiple ontologies using a variety of upper ontologies, to support various Intelligence Community and DoD efforts. He led the development of a production system combining information extraction with ontologies.