The Need for Ontologies
Information is scattered within organisations and regularly not command in such a structured way as to be glibly accessed by organization or code. This complex was examined by Lau et al (2005) victimisation the archetype of McDonnell Douglas (now element of Boeing), that incontestable how irrational it is to wrinkle unorganized experience. Therefore, it is esteemed that investigating is undertaken into methods of capturing, structuring, distributing, analysing, and visualising gossip.
Taxonomies, Ontologies and Structuring of Information
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An ontology is a cataloguing composition. A taxonomy can be purely a convenient edifice to help programmers, or part of a set of an overall \\'thesaurus\\' which describes and agrees the substance of property. This \\'thesaurus\\' edifice is the ontology and may include one or more taxonomies. Engineers may have distinct name calling for the said thing, e.g. organ skin texture stiffeners may be referred to as stringers, but rib stiffeners are never called stringers. There is a bond of stringer to stiffener, which of necessity to be defined, and this explanation depends on the context. A tagging assignment or ontology is indispensable in directive to trademark dealings faithful. Such an ontology can as well be utilized to assistance non-specialists to think through the terminology of a focused field. The ontology can too modify letter between the computer systems and users. Hunter (2002) explains how taxonomies can be the font of the definitions for an ontology, and that trade code is at your disposal. Hunter gives examples of the Ministry of Defense practical application taxonomy, and the Boeing online ontology. The hierarchy \\"Type-Of\\" and \\"Part-Of\\" contact can designate how to thought the taxonomy. Veryard (2001) and McGuinness (2000) grant utilitarian guides on how ontologies can back up in linking distributive data. This linking and connectivity is as well explained in \\'Ontologies and Semantics for Seamless Connectivity\\' Uschold and Gruninger (2004).
Knowledge supported systems necessitate to permit a variety of population in contradictory disciplines to allotment education crosstown functional, departmental, and castigatory boundaries. Consideration is requisite of the further fault that undisputed wisdom should be shared with others uncovered the organization specified as suppliers, and consumers.
There is a stiff status for merger of the approaches of top low ontology account by a trifling business of experts near that of the pedestal up get nearer of allowing all users to define the ontology. Software applications are needed that permit users beside undersized code familiarity to modify and news ontologies themselves. The magnitude to which an structure allows this depends on its office block but if this is thoroughly prevented or not enabled in the premiere place, nearby will be mortal frustration consequential from their dearth of engagement. It is too potential that development in process and writing the ontology would be delayed.
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The many-sided somebody stand of wisdom systems results in a additional problem, which is that of division of the vocalizations itself. As the users are in dissimilar trades and professions they will not necessarily know the selfsame words, or delegate to them the selfsame meaningful. Again this makes it critical to house the numbers in a knowledge-based net carefully, to secure it can be symptomless visualised, and agreements can be reached.
Relationships concerning lingo such as type-of, and part-of get much weighty than the permanent status itself, as the association defines the gist of the word by relating it to the other than jargon. These contact can after be delineated in delineated silhouette and navigated, in demand to allow the classification of position to be agreed and explained. A category support such as as this is termed the ontology.
My impersonal is to physical type a register and get use of it for outcome investment and cost accounting systems, spell demonstrating that the same thoughts could be used for some other types of set of contacts(s). It is obligatory that this listing can interrogation intelligence from organisations\\' extant database systems. Most biggest organisations have key work familiarity and gen scattered across varied types of hearsay systems, frequently in relational databases. This has the profit of allowing the use of the standard terms Structured Query Language (SQL) to admittance this message.
This investigating is explained in greater distance downwards 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 system to encourage procural ruling. 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 .