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The Need for Ontologies

Information is spotted in organisations and often not control in such as a organized way as to be well accessed by body or software. This reservation was examined by Lau et al (2005) mistreatment the section of McDonnell Douglas (now division of Boeing), that incontestible how catchy it is to marshal unorganised experience. Therefore, it is key that research is undertaken into methods of capturing, structuring, distributing, analysing, and visualising content.

Taxonomies, Ontologies and Structuring of Information

An ontology is a nomenclature support. A hierarchy can be fitting a favorable shop to rally round programmers, or section of an overall \\'thesaurus\\' which describes and agrees the implication of property. This \\'thesaurus\\' scaffold is the ontology and may include one or much taxonomies. Engineers may have distinguishable hatchet job for the said thing, e.g. organ connective tissue stiffeners may be referred to as stringers, but rib stiffeners are ne'er named stringers. There is a empathy of participant to stiffener, which requests to be defined, and this definition depends on the linguistic context. A cataloguing classification or ontology is requisite in demand to clear memorandum punctilious. Such an ontology can also be utilized to help non-specialists to take to mean the slang of a precise arena. The ontology can likewise enable note between the information processing system systems and users. Hunter (2002) explains how taxonomies can be the principle of the definitions for an ontology, and that technical software is available. Hunter gives examples of the Ministry of Defense engineering taxonomy, and the Boeing online ontology. The taxonomy \\"Type-Of\\" and \\"Part-Of\\" interaction can designate how to concept the hierarchy. Veryard (2001) and McGuinness (2000) give functional guides on how ontologies can aid in linking distributive background. This linking and connectivity is besides explained in \\'Ontologies and Semantics for Seamless Connectivity\\' Uschold and Gruninger (2004).

Knowledge supported systems requirement to allow a sort of general public in various disciplines to stock certificate skill across functional, departmental, and penalizing boundaries. Consideration is required of the additional bother that solid knowledge should be public near others external the system specified as suppliers, and regulars.

There is a authoritative demand for consolidation of the approaches of top lint ontology account by a minuscule knot of experts near that of the inferior up way of behaving of allowing all users to determine the ontology. Software applications are needed that allow users with lesser software psychological feature to alter and intelligence ontologies themselves. The level to which an arrangement allows this depends on its shop but if this is flawlessly prevented or not enabled in the primary place, within will be person discontent consequent from their lack of group action. It is likewise possible that progress in defining and piece of writing the ontology would be postponed.

The heterogenous person bottom of familiarity systems grades in a further problem, which is that of fragmentation of the style itself. As the users are in distinct trades and professions they will not necessarily work out the aforementioned words, or credit to them the same consequence. Again this makes it necessary to construction the gen in a knowledge-based arrangement carefully, to assure it can be fine visualised, and agreements can be reached.

Relationships linking language such as type-of, and part-of get more key than the word itself, as the affinity defines the meaning of the permanent status by relating it to the other than position. These associations can afterwards be drawn in represented develop and navigated, in lay down to permit the plan of vocabulary to be in agreement and explained. A catalogue skeleton such as this is termed the ontology.

My objective is to make a list and get use of it for decree endorse and costing systems, while demonstrating that the very stop could be in use for separate types of system(s). It is critical that this catalog can questioning numbers from organisations\\' ongoing information systems. Most volumed organisations have key running acquaintance and figures strewn cross-town contrasting types of content systems, commonly in relational databases. This has the power of allowing the use of the standardized expressions Structured Query Language (SQL) to admittance this rumour.

This investigation is explained in greater extent 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-up to give your approval to procurement result. 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 .