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Dextre Clarke, S.G.: Challenges and opportunities for KOS standards (2007)
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- Date
- 22. 9.2007 15:41:14
-
Broughton, V.: Automatic metadata generation : Digital resource description without human intervention (2007)
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- 22. 9.2007 15:41:14
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Tudhope, D.: Knowledge Organization System Services : brief review of NKOS activities and possibility of KOS registries (2007)
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- 22. 9.2007 15:41:14
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Eckert, K.: SKOS: eine Sprache für die Übertragung von Thesauri ins Semantic Web (2011)
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- 15. 3.2011 19:21:22
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OWL Web Ontology Language Test Cases (2004)
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- Date
- 14. 8.2011 13:33:22
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Mayfield, J.; Finin, T.: Information retrieval on the Semantic Web : integrating inference and retrieval
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- 12. 2.2011 17:35:22
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Heflin, J.; Hendler, J.: Semantic interoperability on the Web (2000)
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- Date
- 11. 5.2013 19:22:18
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Bizer, C.; Cyganiak, R.; Heath, T.: How to publish Linked Data on the Web (2007)
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-
Hollink, L.; Assem, M. van: Estimating the relevance of search results in the Culture-Web : a study of semantic distance measures (2010)
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- Date
- 26.12.2011 13:40:22
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Firnkes, M.: Schöne neue Welt : der Content der Zukunft wird von Algorithmen bestimmt (2015)
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- Date
- 5. 7.2015 22:02:31
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Auer, S.; Bizer, C.; Kobilarov, G.; Lehmann, J.; Cyganiak, R.; Ives, Z.: DBpedia: a nucleus for a Web of open data (2007)
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-
Wielinga, B.; Wielemaker, J.; Schreiber, G.; Assem, M. van: Methods for porting resources to the Semantic Web (2004)
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- Source
- Proceedings of the First European Semantic Web Symposium (ESWS2004), Eds.: C. Bussler, J. Davies, D. Fensel and R. Studer. 2004. S.299-311
-
Menzel, C.: Knowledge representation, the World Wide Web, and the evolution of logic (2011)
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-
Monireh, E.; Sarker, M.K.; Bianchi, F.; Hitzler, P.; Doran, D.; Xie, N.: Reasoning over RDF knowledge bases using deep learning (2018)
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- Date
- 16.11.2018 14:22:01
-
OWL Web Ontology Language Guide (2004)
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- Editor
- Smith, M.K., C. Welty u. D.L. Mc Guinness
-
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 KOS and by promoting interoperability among them. The linked data initiative is indeed fostering people to share and integrate their datasets into a giant network of interconnected resources. This enables different applications to interoperate and share their data. However, the integration should take into account the purpose of the datasets 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 semantic 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.
-
Harlow, C.: Data munging tools in Preparation for RDF : Catmandu and LODRefine (2015)
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-
Isaac, A.: Aligning thesauri for an integrated access to Cultural Heritage Resources (2007)
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- Abstract
- Currently, a number of efforts are being carried out to integrate collections from different institutions and containing heterogeneous material. Examples of such projects are The European Library [1] and the Memory of the Netherlands [2]. A crucial point for the success of these is the availability to provide a unified access on top of the different collections, e.g. using one single vocabulary for querying or browsing the objects they contain. This is made difficult by the fact that the objects from different collections are often described using different vocabularies - thesauri, classification schemes - and are therefore not interoperable at the semantic level. To solve this problem, one can turn to semantic links - mappings - between the elements of the different vocabularies. If one knows that a concept C from a vocabulary V is semantically equivalent to a concept to a concept D from vocabulary W, then an appropriate search engine can return all the objects that were indexed against D for a query for objects described using C. We thus have an access to other collections, using a single one vocabulary. This is however an ideal situation, and hard alignment work is required to reach it. Several projects in the past have tried to implement such a solution, like MACS [3] and Renardus [4]. They have demonstrated very interesting results, but also highlighted the difficulty of aligning manually all the different vocabularies involved in practical cases, which sometimes contain hundreds of thousands of concepts. To alleviate this problem, a number of tools have been proposed in order to provide with candidate mappings between two input vocabularies, making alignment a (semi-) automatic task. Recently, the Semantic Web community has produced a lot of these alignment tools'. Several techniques are found, depending on the material they exploit: labels of concepts, structure of vocabularies, collection objects and external knowledge sources. Throughout our presentation, we will present a concrete heterogeneity case where alignment techniques have been applied to build a (pilot) browser, developed in the context of the STITCH project [5]. This browser enables a unified access to two collections of illuminated manuscripts, using the description vocabulary used in the first collection, Mandragore [6], or the one used by the second, Iconclass [7]. In our talk, we will also make the point for using unified representations the vocabulary semantic and lexical information. Additionally to ease the use of the alignment tools that have these vocabularies as input, turning to a standard representation format helps designing applications that are more generic, like the browser we demonstrate. We give pointers to SKOS [8], an open and web-enabled format currently developed by the Semantic Web community.
-
Cazan, C.: Medizinische Ontologien : das Ende des MeSH (2006)
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