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class in an InformationResource. The proprietary properties of Mention are:  hasStartOffset start offset in the content of the information resource;  hasEndOffset end offset in the content of the information resource;  hasString the string of the annotation, if such;  occursIn relates Mention with InformationResource;  refersInstance relates Mention with Entity.
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7.6.6.7. Weighted Term WeightedTerm is a sub-class of LexicalResource. It is closely connected to Topic each Topic instance may have several WeightedTerm-s assigned to it via the hasWeightedTerm property. The hasWeightedTerm relation is a one-to-many relation, that is each WeightedTerm instance is associated with at most one Topic instance. A GeneralTerm can be related to multiple Topic-s and vice versa. Formally, WeightedTerm is related to GeneralTerm through property hasTerm. Weighted term is de facto an auxiliary class, through which a ternary predicate, the weighted relation between a term and a topic can be modeled. Property hasWeight provides a relation between WeightedTerm and a real number that expresses the weight of the term. 7.6.6.8. Device The Device class is a specialization of Product (from the Top module). A User can use one or more Device-s for his/her activities regarding information resource search, management, usage, etc. This relation can be realized via the property hasDevice (proprietary to the UserPro le class), which relates the user pro le of the user with the device(s) this user works with. Another property of Device is the hasCapabilities relation, which is designed to provide a relation between Device and a new Capability class. 8 describes the use of the CC/PP device pro ling ontology (linked to PROTON) to represent and reason about device properties in order to deliver information in a form suitable for a given device.
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This chapter has presented an account of the use of ontologies in the KM context: what are the bene ts; what sorts of data can be distinguished from the semantic and structural points of view and what is the relation
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between ontologies and data; what types of ontologies can be distinguished and for which task is each type appropriate. To provide a possible design for a basic ontology for KM and Semantic Web applications, we presented the PROTON ontology; it has proven to serve well as a database-schema replacement as well as a framework for semantic annotation; see (Kiryakov et al., 2005). The usability of the ontology in KM applications is currently being tested in the various tools and case studies of the SEKT project, as discussed in s 11 and 12. PROTON is being further developed under a community process organized in accordance with the DILIGENT methodology, described in 9.
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REFERENCES
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Beckett D. 2004. RDF/XML Syntax Speci cation (Revised). http://www.w3.org/ TR/2004/REC-rdf-syntax-grammar-20040210/ Borst P, Akkermans H, Top J. 1997. Engineering ontologies. International Journal of Human-Computer Studies 46:365 406. Brickley D, Guha RV (eds). 2000. Resource Description Framework (RDF) Schemas, W3C http://www.w3.org/TR/2000/CR-rdf-schema-20000327/ Chinchor N, Robinson P. 1998. MUC-7 Named Entity Task De nition (version 3.5). In Proceeding of the MUC-7. Davies J, Boncheva K, Manov D. 2004. D5.0.1 Ontology Engineering in SEKT (internal project report). DCMI Usage Board. 2003b. DCMI Type Vocabulary. http://dublincore.org/documents/2003/11/19/dcmi-type-vocabulary/ DCMI Usage Board. 2005. DCMI Metadata Terms. http://dublincore.org/documents/2005/06/13/dcmi-terms/ Dean M, Schreiber G (eds), Bechhofer S, van Harmelen F, Hendler J, Horrocks I, McGuinness DL, Patel-Schneider PF, Stein LA. 2004. OWL Web Ontology Language Reference. W3C Recommendation February 10, 2004. http://www. w3.org/TR/owl-ref/ Fowler M. 2003. UML Distilled: A Brief Guide to the Standard Object Modeling Language (3rd ed.). Addison-Wesley. Genesereth MR, Fikes R (eds). 1998. Knowledge Interchange Format draft proposed American National Standard (dpANS). NCITS.T2/98-004. http://logic.stanford.edu/kif/ Gruber TR. 1992. A translation approach to portable ontologies. Knowledge Acquisition 5(2):199 220, 1993. http://ksl-web.stanford.edu/KSL_Abstracts/KSL-9271.html Gruber TR. 1993. Toward principles for the design of ontologies used for knowledge sharing. In Guarino N, Poli R (eds). International Workshop on Formal Ontology, Padova, Italy, 1993. http://ksl-web.stanford.edu/KSL_Abstracts/KSL-9304.html Guarino N. 1998a. Some Ontological Principles for Designing Upper Level Lexical Resources. In Rubio A, Gallardo N, Castro R, Tejada A (eds), Proceedings of First International Conference on Language Resources and Evaluation. ELRA European Language Resources Association, Granada, Spain, May 28 30, 1998, pp 527 534. Guarino N, 1998b. Formal Ontology in Information Systems. In Guarino N (ed.), Formal Ontology in Information Systems. Proceedings of FOIS 98, Trento, Italy, June 6 8, 1998. IOS Press: Amsterdam, pp 3 15.
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