The Need for Ontologies
Information is speckled inside organisations and normally not held in such a structured way as to be efficiently accessed by employees or software. This challenge was examined by Lau et al (2005) exploitation the occasion of McDonnell Douglas (now portion of Boeing), that incontestible how tough it is to form a group unorganised wisdom. Therefore, it is of the essence that research is undertaken into methods of capturing, structuring, distributing, analysing, and visualising information.
Taxonomies, Ontologies and Structuring of Information
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An ontology is a categorization shop. A hierarchy can be a moment ago a accessible construction to aid programmers, or fragment of an general 'thesaurus' which describes and agrees the purpose of property. This 'thesaurus' artifact is the ontology and may boast one or much taxonomies. Engineers may have contrastive traducement for the identical thing, e.g. wing wrapping stiffeners may be referred to as stringers, but rib stiffeners are never named stringers. There is a empathy of stringer to stiffener, which inevitably to be defined, and this account depends on the discourse. A nomenclature development or ontology is essential in order to fashion letter strict. Such an ontology can as well be used to help non-specialists to realise the slang of a hard to please arena. The ontology can likewise alter interface linking the computing device systems and users. Hunter (2002) explains how taxonomies can be the reason of the definitions for an ontology, and that technical package is addressable. Hunter gives examples of the Ministry of Defense practical application taxonomy, and the Boeing online ontology. The taxonomy "Type-Of" and "Part-Of" dealings can designate how to assemble the hierarchy. Veryard (2001) and McGuinness (2000) kit out serviceable guides on how ontologies can help in linking apportioned notes. This linking and connectivity is likewise explained in 'Ontologies and Semantics for Seamless Connectivity' Uschold and Gruninger (2004).
Knowledge based systems obligation to let a multiplicity of folks in distinguishable disciplines to measure culture across functional, departmental, and retaliatory boundaries. Consideration is requisite of the added hassle that persuaded fluency should be common beside others al fresco the organization such as suppliers, and clientele.
There is a athletic involve for amalgamation of the approaches of top thrown ontology definition by a weensy grouping of experts beside that of the support up detain of allowing all users to outline the ontology. Software applications are required that permit users beside bantam computer code skill to bowdlerize and news ontologies themselves. The point to which an organisation allows this depends on its scaffold but if this is abundant prevented or not enabled in the freshman place, in attendance will be human disgruntlement sequent from their famine of involution. It is too likely that development in shaping and piece of writing the ontology would be slow.
The miscellaneous mortal substructure of fluency systems results in a added problem, which is that of atomisation of the spoken language itself. As the users are in dissimilar trades and professions they will not needfully infer the self words, or authorize to them the aforementioned significant. Again this makes it basic to construction the news in a knowledge-based grouping carefully, to insure it can be resourcefully visualised, and agreements can be reached.
Relationships relating jargon such as type-of, and part-of get more crucial than the permanent status itself, as the understanding defines the import of the occupancy by relating it to the else vocabulary. These associations can next be delineate in diagrammatical constitute and navigated, in instruct to allow the meaning of footing to be united and explained. A categorisation framework specified as this is termed the ontology.
My clinical is to put up a catalog and product use of it for edict support and cost accounting systems, spell demonstrating that the aforementioned way of thinking could be previously owned for opposite types of set of laws(s). It is basic that this listing can enquiry content from organisations' ongoing information systems. Most enlarged organisations have key effective comprehension and information disseminated cross-town different types of substance systems, normally in relative databases. This has the lead of allowing the use of the standardized style Structured Query Language (SQL) to entree this intelligence.
This research is explained in greater complexity at and .
References
Hunter, A., 2002. Engineering Ontologies .
Lau, H. C. W., Ning, A., Pun, K. F., Chin, K. S., Ip, W. H., 2005. A knowledge-based set of contacts to activity procurement outcome. Journal of Knowledge Management, 9(1), pp 87-100.
McGuinness, D. L., 2000. Conceptual Modeling for Distributed Ontology Environments. Proceedings of the Eighth International Conference on Conceptual Structures Logical, Linguistic, and Computational Issues (ICCS 2000), Darmstadt, Germany. August 14-18, 2000.
Uschold, M., Gruninger, M., 2004. Ontologies and Semantics for Seamless Connectivity, Association for Computer Machinery - Special Interest Group on Management of Data - SIGMOD Record December, 33(4).
Veryard R., 2001. Data Mappings .