Aberdeen University Ontology Reuse Stack

Postprin

An information system to support the engineering designer

Engineering companies are currently shifting their focus from selling products to providing services, hence the products’ designers must increasingly consider life-cycle requirements, in addition to conventional design parameters. To identify possible areas of concern, engineers must consider knowledge throughout the life cycle of similar or related products. However, because of the size and distributed nature of a company’s operation, engineers often do not have access to front-line maintenance data. In addition, the large number of documents generated during the design and operation of a product makes it impractical to manually review all documents thoroughly during a task. As a case study, this paper discusses the concept and development of a large hypermedia based Knowledge Desktop that has been developed to support the maintenance and future design of aircraft engines. As part of the development cycle, the performance of the software and its acceptance by the user community has been fully evaluated. The evaluation method considered in this paper focuses on the subjective opinion of the users and measures the easewith which users could retrieve the information required to perform specific tasks

CleanONTO: Evaluating Taxonomic Relationships in Ontologies

Consistent ontologies are vital for the growth of the Semantic Web. We describe and appraise the OntoClean methodology and the di#erent implementations available to evaluate taxonomic relationships in ontologies. We propose a new system, CleanONTO, which uses definitions to describe each concept, where definitions are paths from the concept to the root node of the ontology. In the current study, these definitions (paths) have been extracted from WordNet

GOSPL: Grounding Ontologies with Social Processes and Natural Language

peer reviewe

Role of description logic reasoning in ontology matching

Semantic interoperability is essential on the Semantic Web to enable different information systems to exchange data. Ontology matching has been recognised as a means to achieve semantic interoperability on the Web by identifying similar information in heterogeneous ontologies. Existing ontology matching approaches have two major limitations. The first limitation relates to similarity metrics, which provide a pessimistic value when considering complex objects such as strings and conceptual entities. The second limitation relates to the role of description logic reasoning. In particular, most approaches disregard implicit information about entities as a source of background knowledge. In this thesis, we first present a new similarity function, called the degree of commonality coefficient, to compute the overlap between two sets based on the similarity between their elements. The results of our evaluations show that the degree of commonality performs better than traditional set similarity metrics in the ontology matching task. Secondly, we have developed the Knowledge Organisation System Implicit Mapping (KOSIMap) framework, which differs from existing approaches by using description logic reasoning (i) to extract implicit information as background knowledge for every entity, and (ii) to remove inappropriate correspondences from an alignment. The results of our evaluation show that the use of Description Logic in the ontology matching task can increase coverage. We identify people interested in ontology matching and reasoning techniques as the target audience of this workEThOS - Electronic Theses Online ServiceGBUnited Kingdo