The Need for Ontologies
Information is scattered inside organisations and frequently not command in specified a structured way as to be well accessed by personnel or software. This hurdle was examined by Lau et al (2005) victimization the sample of McDonnell Douglas (now section of Boeing), that incontestable how tough it is to acquire unstructured familiarity. Therefore, it is critical that investigating is undertaken into methods of capturing, structuring, distributing, analysing, and visualising gen.
Taxonomies, Ontologies and Structuring of Information
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An ontology is a grouping structure. A hierarchy can be of late a accessible framework to support programmers, or segment of an overall 'thesaurus' which describes and agrees the description of property. This 'thesaurus' framework is the ontology and may enclose one or more than taxonomies. Engineers may have antithetical obloquy for the one and the same thing, e.g. organ shell stiffeners may be referred to as stringers, but rib stiffeners are ne'er named stringers. There is a human relationship of player to stiffener, which needs to be defined, and this account depends on the linguistic context. A taxonomy venture or ontology is compulsory in command to construct memorandum hairsplitting. Such an ontology can too be nearly new to give a hand non-specialists to follow the language of a fussy environment. The ontology can likewise alter relations between the machine systems and users. Hunter (2002) explains how taxonomies can be the basis of the definitions for an ontology, and that technical computer code is procurable. Hunter gives examples of the Ministry of Defense practical application taxonomy, and the Boeing online ontology. The taxonomy "Type-Of" and "Part-Of" contact can betoken how to assemble the taxonomy. Veryard (2001) and McGuinness (2000) impart clever guides on how ontologies can back up in linking shared aggregation. This linking and connectivity is likewise explained in 'Ontologies and Semantics for Seamless Connectivity' Uschold and Gruninger (2004).
Knowledge supported systems want to allow a motley of folks in incompatible disciplines to share noesis across functional, departmental, and in reprisal boundaries. Consideration is necessary of the additional hitch that in no doubt expertise should be joint beside others right the organisation such as suppliers, and clients.
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There is a knockout demand for consolidation of the approaches of top low ontology explanation by a minute bunch of experts near that of the nether up way of behaving of allowing all users to fix the ontology. Software applications are required that allow users with bitty software package cognition to redact and word ontologies themselves. The magnitude to which an organisation allows this depends on its edifice but if this is abundant prevented or not enabled in the primary place, location will be soul frustration resultant from their want of involvement. It is as well apt that advancement in defining and editing the ontology would be suspended.
The heterogeneous person podium of awareness systems results in a added problem, which is that of fragmentation of the discourse itself. As the users are in diametrical trades and professions they will not needfully get the drift the aforementioned words, or give out to them the very consequence. Again this makes it compulsory to artefact the rumour in a knowledge-based system carefully, to insure it can be powerfully visualised, and agreements can be reached.
Relationships linking jargon specified as type-of, and part-of turn more than primal than the occupancy itself, as the link defines the substance of the occupancy by relating it to the separate language. These interaction can past be diagrammatic in delineate be and navigated, in establish to let the meaning of terms to be in agreement and explained. A organization artefact such as as this is termed the ontology.
My verifiable is to body a listing and make use of it for outcome encouragement and cost accounting systems, while demonstrating that the same stop could be utilized for separate types of grouping(s). It is needed that this catalogue can enquiry figures from organisations' present database systems. Most rangy organisations have key operational education and intelligence distributed crossed divergent types of content systems, frequently in relative databases. This has the supremacy of allowing the use of the standardised vernacular Structured Query Language (SQL) to admittance this facts.
This investigation is explained in greater wisdom 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 utilize procural judgment. Journal of Knowledge Management, 9(1), pp 87-100.
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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 .
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