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 chain of books targeting the important and ever-growing box of internet semantics. the first goal of the sequence is to enquire, current and advertise middle options, rules and exemplary applied sciences for the following iteration of semantic net learn, stemming from either academia and undefined. themes coated will comprise strategy semantics, internet companies, ontologies, workflows, belief and acceptance, and internet applications.
The 14 papers during this quantity, written via key scientists within the box, are preceded by means of an creation written by way of the quantity editors. The papers were divided into 3 sections on Ontologies and data Sharing, utilized Semantic internet, and internet Services.
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Extra resources for Advances in Web Semantics I: Ontologies, Web Services and Applied Semantic Web
One can see in the ontology base that a ‘Book’ is not explicitly a ‘subtype of’ a ‘Product’ as specified in the Bookstore axiomatization. This subsumption is derived 23 This way of sharing and using axiomatizations (as global schema) seems more applicable to data integration and mediation systems [ZD04]. They can also be used to describe web services [NM02]. For example, an axiomatization could be specified for each web service (to describe the “static” information provided to/by a web service), so that all agents accessing a web service share the same axiomatization.
How many originators are in the log? 4. Are there running cases in the log? 5. Which originators work in which tasks? The ﬁrst four questions can be answered by the analysis plug-in Log Summary. ]→Log Summary. Can you now answer the ﬁrst four questions of the list above? If so, you probably have noticed that this log has 104 running cases and 1000 completed cases. 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”.
Illegal models) usually then falls within the responsibility of the application itself. In [J05] we presented such an application scenario of an ontology-based user interface, in which complaint web forms meaningfully share, through explicit ontological commitments, a vocabulary of relationships stored as a DOGMA Server lexon base. To increase usability of application axiomatizations, they might be specified in multiple specification languages, such as DAML+OIL, OWL, RuleML, EER, UML, etc. Figure 8 shows the above Bookstore axiomatization expressed in OWL.