DYNAMIC ONTOLOGY BASED RETRIEVAL AND ANALYSIS OF INFORMATION ON SCIENCE AND ENGINEERING
Abstract
RDF ontologies are proposed as modelling pattern for associations of innovation cycles being performed by science-intensive technical products. An appropriate ontology is applied as framework of personalized archives of scientific and engineering information. Innovation cycle of a given artifact is mapped into a sequence of RDF triples, the artefact is a subject of triples thereby, and the processes of the cycle become subjects, each of them gains status of a class. Later, the classes are populated by information resources pertaining to the life cycle processes. Artefacts contained in the ontology build a hierarchy. «Junior» artefacts being special case of a «senior». As a hole, ontology represents an upper level in the archives of information resources, residing as a set of files. A client/server application is implemented constituting program shell of the archives. If the application runs, the ontology is loaded into the operative memory in JSON format on server side and is accessible for perusal and editing. It may be displayed as a graph, and its subgraphs may be mapped into tables for manipulation and editing. Handling the ontology in tables on the level of distinct artefacts and processes of their life cycles does not assume user understanding of the RDF. User may invoke automated generation of search request on Internet sites of his interest in polling them according to a given schedule. The polling is performed by a net-crawler built in the application. The user can access the results of the search and may insert them into the ontology as new artefacts or as information resources, associated with life cycle processes. That is, the application appears to be a shell for the ontology enabling its automated enrichment by the relevant content coming from the Internet.
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