-
Synak, M.; Dabrowski, M.; Kruk, S.R.: Semantic Web and ontologies (2009)
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- Date
- 31. 7.2010 16:58:22
- Source
- Semantic digital libraries. Eds.: S.R. Kruk, B. McDaniel
-
Wohlkinger, B.; Pellegrini, T.: Semantic Systems Technologiepolitik in der Europäischen Union (2006)
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-
Granitzer, M.: Statistische Verfahren der Textanalyse (2006)
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- Abstract
- Der vorliegende Artikel bietet einen Überblick über statistische Verfahren der Textanalyse im Kontext des Semantic Webs. Als Einleitung erfolgt die Diskussion von Methoden und gängigen Techniken zur Vorverarbeitung von Texten wie z. B. Stemming oder Part-of-Speech Tagging. Die so eingeführten Repräsentationsformen dienen als Basis für statistische Merkmalsanalysen sowie für weiterführende Techniken wie Information Extraction und maschinelle Lernverfahren. Die Darstellung dieser speziellen Techniken erfolgt im Überblick, wobei auf die wichtigsten Aspekte in Bezug auf das Semantic Web detailliert eingegangen wird. Die Anwendung der vorgestellten Techniken zur Erstellung und Wartung von Ontologien sowie der Verweis auf weiterführende Literatur bilden den Abschluss dieses Artikels.
-
Voß, J.: Vom Social Tagging zum Semantic Tagging (2008)
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- Source
- Good tags - bad tags: Social Tagging in der Wissensorganisation. Hrsg.: B. Gaiser, u.a
-
Spree, U.; Feißt, N.; Lühr, A.; Piesztal, B.; Schroeder, N.; Wollschläger, P.: Semantic search : State-of-the-Art-Überblick zu semantischen Suchlösungen im WWW (2011)
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-
Liang, A.; Salokhe, G.; Sini, M.; Keizer, J.: Towards an infrastructure for semantic applications : methodologies for semantic integration of heterogeneous resources (2006)
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- Abstract
- The semantic heterogeneity presented by Web information in the Agricultural domain presents tremendous information retrieval challenges. This article presents work taking place at the Food and Agriculture Organizations (FAO) which addresses this challenge. Based on the analysis of resources in the domain of agriculture, this paper proposes (a) an application profile (AP) for dealing with the problem of heterogeneity originating from differences in terminologies, domain coverage, and domain modelling, and (b) a root application ontology (AAO) based on the application profile which can serve as a basis for extending knowledge of the domain. The paper explains how even a small investment in the enhancement of relations between vocabularies, both metadata and domain-specific, yields a relatively large return on investment.
-
Wielinga, B.; Wielemaker, J.; Schreiber, G.; Assem, M. van: Methods for porting resources to the Semantic Web (2004)
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-
Glimm, B.; Hogan, A.; Krötzsch, M.; Polleres, A.: OWL: Yet to arrive on the Web of Data? (2012)
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-
Zapilko, B.; Sure, Y.: Neue Möglichkeiten für die Wissensorganisation durch die Kombination von Digital Library Verfahren mit Standards des Semantic Web (2013)
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-
Sartini, B.; Erp, M. van; Gangemi, A.: Marriage is a peach and a chalice : modelling cultural symbolism on the Semantic Web (2021)
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-
Sini, M.; Lauser, B.; Salokhe, G.; Keizer, J.; Katz, S.: ¬The AGROVOC concept server : rationale, goals and usage (2008)
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-
Breslin, J.G.: Social semantic information spaces (2009)
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- Source
- Semantic digital libraries. Eds.: S.R. Kruk, B. McDaniel
-
Maltese, V.; Farazi, F.: Towards the integration of knowledge organization systems with the linked data cloud (2011)
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- Abstract
- In representing the shared view of all the people involved, building a knowledge organization system (KOS) from scratch is extremely costly, and it is therefore fundamental to reuse existing resources. This can be done by progressively extending the KOS with knowledge coming from similar KOSs and by promoting interoperability among them. The linked data initiative is indeed encouraging people to share and integrate their datasets into a giant network of interconnected resources. This enables different applications to interoperate and share their data. The integration should take into account the purpose of the datasets, however, and make explicit the semantics. In fact, the difference in the purpose is reflected in the difference in the semantics. With this paper we (a) highlight the potential problems that may arise by not taking into account purpose and semantics; (b) make clear how the difference in the purpose is reflected in totally different semantics and (c) provide an algorithm to translate from one semantics into another as a preliminary step towards the integration of ontologies designed for different purposes. This will allow reusing the ontologies even in contexts different from those in which they were designed.
-
Djioua, B.; Desclés, J.-P.; Alrahabi, M.: Searching and mining with semantic categories (2012)
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-
Papadakis, I. et al.: Highlighting timely information in libraries through social and semantic Web technologies (2016)
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- Source
- Metadata and semantics research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings. Eds.: E. Garoufallou
-
Kiryakov, A.; Popov, B.; Terziev, I.; Manov, D.; Ognyanoff, D.: Semantic annotation, indexing, and retrieval (2004)
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-
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)
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-
Faaborg, A.; Lagoze, C.: Semantic browsing (2003)
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- Source
- Research and advanced technology for digital libraries : 7th European Conference, proceedings / ECDL 2003, Trondheim, Norway, August 17-22, 2003
-
Malmsten, M.: Making a library catalogue part of the Semantic Web (2008)
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- Source
- Metadata for semantic and social applications : proceedings of the International Conference on Dublin Core and Metadata Applications, Berlin, 22 - 26 September 2008, DC 2008: Berlin, Germany / ed. by Jane Greenberg and Wolfgang Klas
-
Schneider, R.: Web 3.0 ante portas? : Integration von Social Web und Semantic Web (2008)
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- Date
- 22. 1.2011 10:38:28
