By Tharam S. Dillon, Elizabeth Chang, Robert Meersman, Katia Sycara (auth.), Tharam S. Dillon, Elizabeth Chang, Robert Meersman, Katia Sycara (eds.)
This booklet constitutes the 1st quantity of a sequence of books concentrating on the important and ever-growing box of internet semantics. the first goal of the sequence is to enquire, current and advertise middle techniques, rules and exemplary applied sciences for the following iteration of semantic internet examine, stemming from either academia and undefined. subject matters lined will contain approach semantics, net prone, ontologies, workflows, belief and recognition, and net applications.
The 14 papers during this quantity, written via key scientists within the box, are preceded through an creation written through the amount editors. The papers were divided into 3 sections on Ontologies and information Sharing, utilized Semantic internet, and net Services.
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Extra info for Advances in Web Semantics I: Ontologies, Web Services and Applied Semantic Web
In: Floridi, L. ) Blackwell Guide to the Philosophy of Computing and Information, pp. 155–166. : Propositional, First-Order And Higher-Order Logics: Basic Definitions, Rules of Inference, Examples. , Stuart, S. ) Natural Language Processing and Knowledge Representation: Language for Knowledge and Knowledge for Language. : Towards New Ways of Terminology Description, the sociocognitive approach. John Benjamins Publishing Company, Amsterdam (2000) ISBN 9027223262 34 M. Jarrar and R. : Context-driven Visualization For Ontology Engineering, p.
You see that from the information in the table “Ending Log Events” of the log summary (cf. Figure 5). Note that only 1000 cases end with the task “Archive Repair”. The last question of the list above can be answered by the analysis plug-in Originator by Task Matrix. This plug-in can be started by clicking the menu Analysis→[log Process Mining towards Semantics 43 Fig. 4. Screenshot of ProM after opening the log of the running example (cf. ]→Originator by Task Matrix. Can you identify which originators perform the same tasks for the running example log?
What is the most frequent path for every process model? 2. How is the distribution of all cases over the diﬀerent paths through the process? 3. e. process instances) with the deployed process models? Where are the problems? How frequent is the (non-) compliance? 4. What are the routing probabilities for each split/join task? 5. What is the average/minimum/maximum throughput time of cases? 6. Which paths take too much time on average? How many cases follow these routings? What are the critical sub-paths for these paths?