Knowledge organisation by means of concept process mapping Knowledge organisation by means of concept-process mapping
Representing Conceprocity relationships
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- §4An introduction to conceptual modelling as knowledge representation within knowledge organisation systems
- 4.1Taxonomy, ontology, and knowledge representation
3.4Representing Conceprocity relationshipsConceprocity relationships very broadly follow UML class diagram conventions (Booch, Rumbaugh and Jacobson, 2005) rather than G-MOT ones. This is because the UML conventions are more visually expressive than the letters used in G-MOT and therefore Conceprocity models can be made more semantically precise. The relationship syntax is:
Figure Conceprocity relationship syntax Conceprocity relationships are also referred to as notions. Thus notions in Conceprocity is a word which embraces (inter alia) concepts, procedures, actors, principles, events and relationships. §4An introduction to conceptual modelling as knowledge representation within knowledge organisation systemsHistory: (Hartshorne, Weiss and Burks, 1931): existential graphs; (Sowa, 1984). Later work: (Sowa, 2000b, 1992) Background: (Bunge, 2003, 1973; Harŕe, 1975; Kilov, 2004); (Wand and Weber, 1993; Wand, Storey and Weber, 1999); (Sowa, 2000b; a) Note: http://en.wikipedia.org/wiki/Conceptual_model See also: (Chein and Mugnier, 2008; Sowa, 2000b, 1992, 1984), further discussed at section §5 below. See also http://conceptualstructures.org/ and http://conceptualgraphs.org/CSP/index.php. Note for now our pragmatic preference for semi-formal modelling which gives primacy to visual aspects. Thus although very respectful of more formal approaches, we have set them aside in our current work. There is a very long tradition, particularly in systems analysis, of using primarily graphical models; this is a reflection of the pragmatic reality that many ICT and Information Systems professionals – including the current author – lack skills in linear algebra and formal methods. Note also the entire emphasis of the Information Systems community, which considers that the use of systems – their usefulness and usability – is determined far more by pragmatic considerations, social factors and the like: than it is by the correctness of construction of a technologically-based artefact. This latter is the domain of computer science and of software engineering. 4.1Taxonomy, ontology, and knowledge representationThinking about this just a little bit more, I have made a mental connection between the issues of distinguishing concepts and a concern which I have had for some while about the Conceprocity language. Going back to 25/08/2013 Sunday, we identified the relationships supported in George Miller’s WordNet lexical database. Some of the fundamental relationships modelled in WordNet are already present in the Conceprocity language. Going back to the table sourced from (Miller, 1995), we note: Tableau Semantic relations from (Miller, 1995)
We plan to extend this table, so that the basic relationship types identified by Miller are mapped to their Conceprocity equivalents and vice versa. A nice little presentation that clarifies the distinction between taxonomy and ontology: D:\Q\PhD\Taxonomy and Ontology powerpoint97-03.ppt Directory: 2015 2015 -> 587 Return function, r i(X) r i(0) r i(1) r i(2) r i(3) 1 0 2 4 6 Thermal Station, I 2 0 1 5 6 3 0 3 5 6 10 2015 -> Fall 2013 Spring 2014 Program Data: Standard 1 Exhibit 4d 2015 -> Police Militarization 2015 -> Medical Radiography Program 2015 -> 2015 ihbb championships: hs history Bowl Round 4 – Prelims First Quarter 2015 -> Desk review yemen 2015 -> Wrtp/big step · 3841 W. Wisconsin Ave., Milwaukee, wi 53208 2015 -> 1. naclo 2015 – North American Computational Linguistics Olympiad 2015 -> Rao bulletin 1 December 2015 html edition this bulletin contains the following articles 2015 -> Volume Ⅴ (2015) On The 2015 China Victory Day Parade Download 395.15 Kb. Share with your friends:
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