By Achim Hoffmann, Byeong-ho Kang, Debbie Richards, Shusaku Tsumoto
This ebook constitutes the completely refereed post-proceedings of the 2006 Pacific Rim wisdom Acquisition Workshop, PKAW 2006, held in Guilin, China in August 2006 as a part of ninth Pacific Rim foreign convention on synthetic Intelligence, PRICAI 2006.
The 21 revised complete papers and six revised brief papers provided including four invited talks have been conscientiously reviewed and chosen from eighty one submissions. The papers are equipped in topical sections on ontology and information acquisition, set of rules methods to wisdom acquisition, incremental wisdom acquisition and RDR, wisdom acquisition and purposes, in addition to laptop studying and knowledge mining.
Read Online or Download Advances in Knowledge Acquisition and Management: Pacific Rim Knowledge Acquisition Workshop, PKAW 2006, Guilin, China, August 7-8, 2006, Revised Selected PDF
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Some guidance can be offered in this process by using cues present in the goal and process models. For instance, the names of goals and processes (or activities) can suggest traceability links. A transport organization’s operational goal to achieve “PackageSortedToDestination” can be traceable to the “Package Sorting” process within the organization. Traceability between goals and processes can be identified through cross examination of the links between the pre/post conditions for specific processes and the pre/post conditions for specific goals.
Mollá, D. and Richards, D. (2003) Towards Reconciling Use Cases via Controlled Language and Graphical Models In O. Bartenstein, U. Geske, M. Hannebauer, O. ), Web-Knowledge Management and Decision Support, LNCS, Vol. 2543, pp. 115-128, Springer Verlag, Heidelberg, Germany. Ad-Hoc and Personal Ontologies 23 [4] Busch, P. and Richards, D. on FCA (ICFCA 04), Feb 23-26, 2004, Sydney, Australia, 321-329. [5] Carmichael, D J, J Kay, R J Kummerfeld, (2004) Personal Ontologies for feature selection in Intelligent Environment visualisations, in Baus, J, C Kray and R Porzel, AIMS04 - Artificial Intelligence in Mobile System, 44-51.
We apply GoalBPM to the process and goal model in order to evaluate the current state of the satisfaction relationship before introducing the aforementioned changes to the goal model. 34 G. Koliadis and A. Ghose Fig. 3. Goals Traceable to the ‘Package Sorting’ Process Fig. 4. 2 Applying GoalBPM We apply the proposed GoalBPM to prove the satisfaction relationship between the goal model and the process model. g. Arrives(p, sf ) is equivalent to PackageArrivesAtTheSortFacility, as can be inferred from the goal definitions in Figure 4).