By Thomas Syldatke, Willy Chen, Jürgen Angele, Andreas Nierlich, Mike Ullrich (auth.), Adrian Paschke, Yevgen Biletskiy (eds.)
The foreign Symposium on Rule Interchange and functions (RuleML-2007), collocated in Orlando, Florida, with the 10th foreign enterprise principles discussion board, was once the 1st symposium dedicated to paintings on functional disbursed rule applied sciences and rule-based functions which desire language criteria for principles working within the context of contemporary infrastructures, together with the Semantic net, clever multi-agent platforms, event-driven architectures, and service-oriented computing functions. The symposium was once equipped via the RuleML Initiative, financially and technically supported by means of business businesses (Top common sense, VIStology, and Inferware) and in cooperation with expert societies (ECCAI, AAAI, ACM, ACM SIGAPP, ACM SIGMIS, ACM SIGART, ACM SIGMOD, IEEE, IEEE laptop TCAAS, IEEE SMCS, BPM-Forum, W3C, OMG, and OASIS). The RuleML Initiative is prepared by way of representatives from academia, and executive for the development of rule know-how, delivering more desirable usability, scalability and function. The target of RuleML (www. ruleml. org) is to advance an open, common, XML-based family members of rule languages as intermediaries among a variety of ‘specialized’ rule proprietors, functions, business and educational learn teams, in addition to standardization efforts resembling OMG’s PRR or W3C’s RIF. A normal good thing about utilizing declarative principles is they will be simply represented in a machine-readable and platform-independent demeanour, frequently ruled by way of an XML schema. This matches good into today’s dispensed, heterogeneous Web-based procedure environments. ideas represented in standardized internet codecs will be stumbled on, interchanged and invoked at runtime inside of and throughout net platforms, and will be interpreted and finished on any platform.
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Extra info for Advances in Rule Interchange and Applications: International Symposium, RuleML 2007, Orlando, Florida, October 25-26, 2007. Proceedings
Decision tables can be such a transformation mechanism. Decision tables are one of many visualizations  of rule sets. Figure 5 displays an example of a decision table. Graphically, a decision table consists of four quadrants. The two upper quadrants make up the condition sphere and the two lower quadrants represent the conclusion sphere. Properly built decision tables contain columns that represent exhaustive and mutually exclusive conjunctions of conditions and that have one or more conclusions.
B and/or C, D). However, the outcome of one task also may be that the application will fail; then no further tests are required. Incorporating this behaviour in the control flow would increase the complexity enormously. In fact not all aspects of the control can be modeled in an appropriate way. This variable process is replaced in the traditional model by a new object type, labeled with “KIT” (Knowledge-intensive task). This object is related to a pool of activities, which are linked to action-enabling rules.
4. 5. check claim for formal correctness check claim for consistency with contract and decide whether to rejected claim or evaluated claim in detail decide on claim. Note that activity 4 (evaluate claim) is a variable activity. Depending on the specific claim one or more activities or sub-processes have to be executed. It can range from simply checking whether the loss is covered by the insurance contract to complex evaluation including locally inspection, verification by an expert, examination of the damaged goods, checking on beneficiaries to avoid fraud etc.