Applying semantic web technologies to knowledge sharing in aerospace engineering

This paper details an integrated methodology to optimise Knowledge reuse and sharing, illustrated with a use case in the aeronautics domain. It uses Ontologies as a central modelling strategy for the Capture of Knowledge from legacy docu-ments via automated means, or directly in systems interfacing with Knowledge workers, via user-defined, web-based forms. The domain ontologies used for Knowledge Capture also guide the retrieval of the Knowledge extracted from the data using a Semantic Search System that provides support for multiple modalities during search. This approach has been applied and evaluated successfully within the aerospace domain, and is currently being extended for use in other domains on an increasingly large scale

Automatic location and separation of records: A case study in the genealogical domain

Abstract. Locating specific chunks (records) of information within documents on the web is an interesting and nontrivial problem. If the problem of locating and separating records can be solved well, the longstanding problem of grouping extracted values into appropriate relationships in a record structure can be more easily resolved. Our solution is a hybrid of two well established techniques: (1) ontology-based extraction [ECJ + 99] and (2) vector space modeling [SM83]. To show that the technique has merit, we apply it to the particularly challenging task of locating and separating records for genealogical web documents, which tend to vary considerably in layout and format. Experiments we have conducted show this technique yields an average of 92 % recall and 93 % precision for locating and separating genealogical records in web documents.

A modeling ontology for integrating vulnerabilities into security requirements conceptual foundations

Vulnerabilities are weaknesses in the requirements, design, and implementation, which attackers exploit to compromise the system. This paper proposes a vulnerability-centric modeling ontology, which aims to integrate empirical knowledge of vulnerabilities into the system development process. In particular, we identify the basic concepts for modeling and analyzing vulnerabilities and their effects on the system. These concepts drive the definition of criteria that make it possible to compare and evaluate security frameworks based on vulnerabilities. We show how the proposed modeling ontology can be adopted in various conceptual modeling frameworks through examples. Financial support from Natural Science and Engineering Research Council of Canada and Bell University Labs is gratefully acknowledged