SKOS: Simple Knowledge Organisation for the Web

Miles, Alistair; Pérez-Agüera, José R.

doi:10.1300/j104v43n03_04

Cited by 129 publications

(121 citation statements)

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“…Therefore, not knowing any background information about the dataset, it is not possible to recognize a valid OWL concept hierarchy since it is encoded in a vocabulary (i.e. SKOS [15]) which encodes concept hierarchies only between instances and not between concepts. This implies that every instance mapping from an instance in DBpedia to one in nytimes will support a correspondence between an OWL concept to the concept skos:Concept which is not very informative as an alignment between ontologies.…”

Section: Experimental Setup Based On Lod Entitiesmentioning

confidence: 99%

Statistical Analysis of the owl:sameAs Network for Aligning Concepts in the Linking Open Data Cloud

Correndo

Penta

Gibbins

et al. 2012

Lecture Notes in Computer Science

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Abstract. The massively distributed publication of linked data has brought to the attention of scientific community the limitations of classic methods for achieving data integration and the opportunities of pushing the boundaries of the field by experimenting this collective enterprise that is the linking open data cloud. While reusing existing ontologies is the choice of preference, the exploitation of ontology alignments still is a required step for easing the burden of integrating heterogeneous data sets. Alignments, even between the most used vocabularies, is still poorly supported in systems nowadays whereas links between instances are the most widely used means for bridging the gap between different data sets. We provide in this paper an account of our statistical and qualitative analysis of the network of instance level equivalences in the Linking Open Data Cloud (i.e. the sameAs network) in order to automatically compute alignments at the conceptual level. Moreover, we explore the effect of ontological information when adopting classical Jaccard methods to the ontology alignment task. Automating such task will allow in fact to achieve a clearer conceptual description of the data at the cloud level, while improving the level of integration between datasets.

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Section: Experimental Setup Based On Lod Entitiesmentioning

confidence: 99%

Statistical Analysis of the owl:sameAs Network for Aligning Concepts in the Linking Open Data Cloud

Correndo

Penta

Gibbins

et al. 2012

Lecture Notes in Computer Science

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“…In spite of the fact that much of the information available as linked data is by its nature language-independent, many resources also include linguistic information in the form of RDF(S) or SKOS [26] labels (rdfs:label, skos:prefLabel, etc.) which documents how a resource is named in multiple languages.…”

Section: Introductionmentioning

confidence: 99%

Challenges for the multilingual Web of Data

Gracia

Montiel-Ponsoda

Cimiano

et al. 2012

Journal of Web Semantics

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The Web has witnessed an enormous growth in the amount of semantic information published in recent years. This growth has been stimulated to a large extent by the emergence of Linked Data. Although this brings us a big step closer to the vision of a Semantic Web, it also raises new issues such as the need for dealing with information expressed in different natural languages. Indeed, although the Web of Data can contain any kind of information in any language, it still lacks explicit mechanisms to automatically reconcile such information when it is expressed in different languages. This leads to situations in which data expressed in a certain language is not easily accessible to speakers of other languages.The Web of Data shows the potential for being extended to a truly multilingual web as vocabularies and data can be published in a language-independent fashion, while associated language-dependent (linguistic) information supporting the access across languages can be stored separately. In this sense, the multilingual Web of Data can be realized in our view as a layer of services and resources on top of the existing Linked Data infrastructure adding i) linguistic information for data and vocabularies in different languages, ii) mappings between data with labels in different languages, and iii) services to dynamically access and traverse Linked Data across different languages.In this article we present this vision of a multilingual Web of Data. We discuss challenges that need to be addressed to make this vision come true and discuss the role that techniques such as ontology localization, ontology mapping, and cross-lingual ontology-based information access and presentation will play in achieving this. Further, we propose an initial architecture and describe a roadmap that can provide a basis for the implementation of this vision.

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“…• Consistent set of concepts and vocabulary: Standards are used to represent competences with a consistent set of vocabulary, which is widely accepted and (Miles, et al 2005). …”

Section: Ecos: An Ontology For Published Competencesmentioning

confidence: 99%

“…This process is carried out in 5 steps, as and any other type of structured controlled vocabularies (Miles, et al 2005). The concepts available in this thesaurus are used for annotating the terms extracted from the documents.…”

Section: Operation Stagementioning

confidence: 99%

Role of Semantic Web in the Changing Context of Enterprise Collaboration

Khilwani

2013

Interoperability for Enterprise Software and Applications

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SKOS: Simple Knowledge Organisation for the Web

Cited by 129 publications

References 1 publication

Statistical Analysis of the owl:sameAs Network for Aligning Concepts in the Linking Open Data Cloud

Statistical Analysis of the owl:sameAs Network for Aligning Concepts in the Linking Open Data Cloud

Challenges for the multilingual Web of Data

Role of Semantic Web in the Changing Context of Enterprise Collaboration

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