By Tharam S. Dillon, Elizabeth Chang, Robert Meersman, Katia Sycara (auth.), Tharam S. Dillon, Elizabeth Chang, Robert Meersman, Katia Sycara (eds.)
This publication constitutes the 1st quantity of a chain of books targeting the very important and ever-growing box of net semantics. the first objective of the sequence is to enquire, current and advertise center innovations, principles and exemplary applied sciences for the subsequent new release of semantic internet learn, stemming from either academia and undefined. issues coated will contain procedure semantics, internet providers, ontologies, workflows, belief and recognition, and net applications.
The 14 papers during this quantity, written via key scientists within the box, are preceded by means of an creation written via the quantity editors. The papers were divided into 3 sections on Ontologies and information Sharing, utilized Semantic net, and internet Services.
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This paintings places jointly contributions of linguists and psycholinguists whose major curiosity this is the illustration of Semitic phrases within the psychological lexicon of Semitic language audio system. The critical subject of the ebook confronts perspectives in regards to the morphology of Semitic phrases. the purpose of the argument is: may still we see Semitic phrases' morphology as "root-based" or "word-based?
This can be a textbook for guided self-learning, meant for post-intermediate and complicated rookies of English. It includes a few 1100 phrasal compounds used with 17 particles/prepositions which mix with a few 500 varied verbs, nouns and adjectives. various glosses let the trainer to exploit it in very heterogeneous periods.
Corpus linguistics is a normal technique which makes use of genuine language facts, kept in vast computing device corpora, because the foundation for linguistic examine. relocating clear of the normal intuitive method of linguistics, which used made-up examples, corpus linguistics has made an important contribution to all components of the sphere.
There are fewer differences in any language than there are particular issues within the universe. If, accordingly, languages are methods of representing the universe, a main functionality in their components needs to be to permit the even more various different types of components out of which the universe is made to be labeled in particular methods.
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S. Dillon et al. ): Advances in Web Semantics I, LNCS 4891, pp. 35–80, 2008. A. P. van der Aalst Table 1. Example of an event log Case ID Task Name 1 2 1 2 3 3 4 4 1 1 2 3 2 2 4 4 4 4 3 3 3 3 File Fine File Fine Send Bill Send Bill File Fine Send Bill File Fine Send Bill Process Payment Close Case Send Reminder Send Reminder Process Payment Close case Send Reminder Send Reminder Process Payment Close Case Send Reminder Send Reminder Process Payment Close Case File Fine Event Type Originator Completed Completed Completed Completed Completed Completed Completed Completed Completed Completed Completed Completed Completed Completed Completed Completed Completed Completed Completed Completed Completed Completed Anne Anne system system Anne system Anne system system system Mary John system system John Mary system system John John system system Send Bill Timestamp 20-07-2004 20-07-2004 20-07-2004 20-07-2004 21-07-2004 21-07-2004 22-07-2004 22-07-2004 24-07-2004 24-07-2004 20-08-2004 21-08-2004 22-08-2004 22-08-2004 22-08-2004 22-08-2004 29-08-2004 29-08-2004 21-09-2004 21-10-2004 25-10-2004 25-10-2004 14:00:00 15:00:00 15:05:00 15:07:00 10:00:00 14:00:00 11:00:00 11:10:00 15:05:00 15:06:00 10:00:00 10:00:00 09:05:00 09:06:00 15:10:00 17:10:00 14:01:00 17:30:00 10:00:00 10:00:00 14:00:00 14:01:00 Process Payment Extra Data ...
Note that now more menu options are available. Now that the log is opened, we can proceed with the actual log inspection. Recall that we want to answer the following questions: 1. How many cases (or process instances) are in the log? 2. How many tasks (or audit trail entries) are in the log? A. P. van der Aalst Fig. 3. Screenshot of the main interface of ProM. The menu File allows to open event logs and to import models into ProM. The menu Mining provides the mining plug-ins. These mining plug-ins mainly focus on discovering information about the control-ﬂow perspective of process models or the social network in the log.
For example, ORM does not distinguish between DataProperties and ObjectProperties as does OWL. This is an example of an epistemological difference24. The ORM uniqueness constraint that spans over “Written-By/Writes” cannot be expressed in OWL, as it is implied by definition25. The other uniqueness and mandatory constraints are all expressed as a cardinality restriction in OWL. The logical and epistemological disparities described above (which are induced by the difference between the formalizations and the constructs of both languages) illustrate different ways of characterizing the legal models of application axiomatizations.
Advances in Web Semantics I: Ontologies, Web Services and Applied Semantic Web by Tharam S. Dillon, Elizabeth Chang, Robert Meersman, Katia Sycara (auth.), Tharam S. Dillon, Elizabeth Chang, Robert Meersman, Katia Sycara (eds.)