Search (74 results, page 3 of 4)

  • × theme_ss:"Semantic Web"
  • × theme_ss:"Wissensrepräsentation"
  1. Suchanek, F.M.; Kasneci, G.; Weikum, G.: YAGO: a large ontology from Wikipedia and WordNet (2008) 0.00 
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    Source
    Web semantics: science, services and agents on the World Wide Web. 6(2008) no.3, S.203-217
  2. Davies, J.; Weeks, R.; Krohn, U.: QuizRDF: search technology for the Semantic Web (2004) 0.00 
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    Abstract
    An information-seeking system is described which combines traditional keyword querying of WWW resources with the ability to browse and query against RDF annotations of those resources. RDF(S) and RDF are used to specify and populate an ontology and the resultant RDF annotations are then indexed along with the full text of the annotated resources. The resultant index allows both keyword querying against the full text of the document and the literal values occurring in the RDF annotations, along with the ability to browse and query the ontology. We motivate our approach as a key enabler for fully exploiting the Semantic Web in the area of knowledge management and argue that the ability to combine searching and browsing behaviours more fully supports a typical information-seeking task. The approach is characterised as "low threshold, high ceiling" in the sense that where RDF annotations exist they are exploited for an improved information-seeking experience but where they do not yet exist, a search capability is still available.
  3. Hüsken, P.: Informationssuche im Semantic Web : Methoden des Information Retrieval für die Wissensrepräsentation (2006) 0.00 
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    Pages
    VI, 107 S
  4. Hüsken, P.: Information Retrieval im Semantic Web (2006) 0.00 
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    Pages
    VI, 107 S
  5. Fluit, C.; Horst, H. ter; Meer, J. van der; Sabou, M.; Mika, P.: Spectacle (2004) 0.00 
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    Pages
    S.145-159
  6. Iosif, V.; Mika, P.; Larsson, R.; Akkermans, H.: Field experimenting with Semantic Web tools in a virtual organization (2004) 0.00 
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    Pages
    S.219-244
  7. OWL Web Ontology Language Overview (2004) 0.00 
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    Abstract
    The OWL Web Ontology Language is designed for use by applications that need to process the content of information instead of just presenting information to humans. OWL facilitates greater machine interpretability of Web content than that supported by XML, RDF, and RDF Schema (RDF-S) by providing additional vocabulary along with a formal semantics. OWL has three increasingly-expressive sublanguages: OWL Lite, OWL DL, and OWL Full. This document is written for readers who want a first impression of the capabilities of OWL. It provides an introduction to OWL by informally describing the features of each of the sublanguages of OWL. Some knowledge of RDF Schema is useful for understanding this document, but not essential. After this document, interested readers may turn to the OWL Guide for more detailed descriptions and extensive examples on the features of OWL. The normative formal definition of OWL can be found in the OWL Semantics and Abstract Syntax.
  8. SKOS Simple Knowledge Organization System Reference : W3C Recommendation 18 August 2009 (2009) 0.00 
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    Editor
    Miles, A. u. S. Bechhofer
  9. Zhang, L.: Linking information through function (2014) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.11, S.2293-2305
  10. Sure, Y.; Erdmann, M.; Studer, R.: OntoEdit: collaborative engineering of ontologies (2004) 0.00 
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    Abstract
    Developing ontologies is central to our vision of Semantic Web-based knowledge management. The methodology described in Chapter 3 guides the development of ontologies for different applications. However, because of the size of ontologies, their complexity, their formal underpinnings and the necessity to come towards a shared understanding within a group of people when defining an ontology, ontology construction is still far from being a well-understood process. Concerning the methodology, OntoEdit focuses on three of the main steps for ontology development (the methodology is described in Chapter 3), viz. the kick off, refinement, and evaluation. We describe the steps supported by OntoEdit and focus on collaborative aspects that occur during each of the step. First, all requirements of the envisaged ontology are collected during the kick off phase. Typically for ontology engineering, ontology engineers and domain experts are joined in a team that works together on a description of the domain and the goal of the ontology, design guidelines, available knowledge sources (e.g. re-usable ontologies and thesauri, etc.), potential users and use cases and applications supported by the ontology. The output of this phase is a semiformal description of the ontology. Second, during the refinement phase, the team extends the semi-formal description in several iterations and formalizes it in an appropriate representation language like RDF(S) or, more advanced, DAML1OIL. The output of this phase is a mature ontology (the 'target ontology'). Third, the target ontology needs to be evaluated according to the requirement specifications. Typically this phase serves as a proof for the usefulness of ontologies (and ontology-based applications) and may involve the engineering team as well as end users of the targeted application. The output of this phase is an evaluated ontology, ready for roll-out into a productive environment. Support for these collaborative development steps within the ontology development methodology is crucial in order to meet the conflicting needs for ease of use and construction of complex ontology structures. We now illustrate OntoEdit's support for each of the supported steps. The examples shown are taken from the Swiss Life case study on skills management (cf. Chapter 12).
    Pages
    S.117-132
  11. ¬The Semantic Web - ISWC 2010 : 9th International Semantic Web Conference, ISWC 2010, Shanghai, China, November 7-11, 2010, Revised Selected Papers, Part I. (2010) 0.00 
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    Pages
    XXI, 833 S
    Type
    s
  12. Baroncini, S.; Sartini, B.; Erp, M. Van; Tomasi, F.; Gangemi, A.: Is dc:subject enough? : A landscape on iconography and iconology statements of knowledge graphs in the semantic web (2023) 0.00 
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    Journal of documentation. 79(2023) no.7, S.115-136
  13. Stuckenschmidt, H.; Harmelen, F. van: Information sharing on the semantic web (2005) 0.00 
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    Pages
    XIX, 276 S
  14. McGuinness, D.L.: Ontologies come of age (2003) 0.00 
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    Pages
    S.171-194
  15. Fensel, D.; Harmelen, F. van; Horrocks, I.: OIL and DAML+OIL : ontology languages for the Semantic Web (2004) 0.00 
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    S.11-31
  16. Breslin, J.G.: Social semantic information spaces (2009) 0.00 
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    S.55-68
  17. Soergel, D.: SemWeb: proposal for an open, multifunctional, multilingual system for integrated access to knowledge about concepts and terminology (1996) 0.00 
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    Pages
    S.165-173
  18. Broekstra, J.; Kampman, A.; Harmelen, F. van: Sesame: a generic architecture for storing and querying RDF and RDF schema (2004) 0.00 
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    Pages
    S.71-89
  19. Meyer, A.: Begriffsrelationen im Kategoriensystem der Wikipedia : Entwicklung eines Relationeninventars zur kollaborativen Anwendung (2010) 0.00 
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    103 S
  20. Lassalle, E.; Lassalle, E.: Semantic models in information retrieval (2012) 0.00 
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    Pages
    S.138-173

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