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 sequence of books concentrating on the very important and ever-growing box of internet semantics. the first objective of the sequence is to enquire, current and advertise center options, principles and exemplary applied sciences for the subsequent iteration of semantic net study, stemming from either academia and undefined. subject matters lined will comprise approach semantics, internet providers, ontologies, workflows, belief and acceptance, and net applications.
The 14 papers during this quantity, written via key scientists within the box, are preceded by way of an advent written by way of the amount editors. The papers were divided into 3 sections on Ontologies and information Sharing, utilized Semantic net, and net Services.
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Additional resources for Advances in Web Semantics I: Ontologies, Web Services and Applied Semantic Web
Process instances) with the deployed process models? Where are the problems? ” The remainder of this section illustrates how to use ProM to answer the questions in Table 2. The provided explanations have a tutorial-like ﬂavor because you should be able to reproduce the results when using ProM over the example in this section or while analyzing other logs. 1. 3 describes how you can inspect and clean an event log before performing any mining. 4 shows how to use discovery plug-ins (cf. 5 describes Process Mining towards Semantics 39 Table 2.
237. : Data modelling versus Ontology engineering. J. ): Concepts and Terminology for the Conceptual Schema and Information Base. International Standardization Organization, Publication No. : Semantically unlocking database content through ontology-based mediation. , Fundulaki, I. ) SWDB 2004. LNCS, vol. 3372, pp. 109–126. : Support for Ontological Analysis of Taxonomic Relationships. : User-Specific Semantic Integration of Heterogeneous Data: The SIRUP Approach. In: Proceeding of the International Conference on Semantics of a Networked World.
Some resources focus mainly on the morphological issues of terms, rather than categorizing and clearly describing their intended meanings. Depending on its description of term meaning(s), its accuracy, and maybe its formality26, a lexical resource can play an important role in ontology engineering. e. concepts, or called synsets) is WordNet [MBFGM90]. WordNet offers a machine-readable and comprehensive conceptual system for English words. Currently, a number of initiatives and efforts in the lexical semantic community have been started to extend WordNet to cover multiple languages.