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- 338 creator francesco-corcoglioniti.
- 338 creator loris-bozzato.
- 338 creator luciano-serafini.
- 338 creator martin-homola.
- 338 creator mathew-joseph.
- 338 type InProceedings.
- 338 label "Managing Contextualized Knowledge with the CKR".
- 338 sameAs 338.
- 338 abstract "As large amounts of Linked Data are published on the Web, it is becoming apparent that the validity of published knowledge is not absolute, but often depends on time, location, topic, and other contextual attributes. Therefore, an increasingly perceived need for Semantic Web (SW) applications is the representation of the context of such knowledge and its formalization for using it in reasoning and querying. Recognizing this problem, several extensions of RDF and OWL to support contextual qualification of knowledge have been proposed. Among these, we recently presented the Contextualized Knowledge Repository (CKR), a framework with a well-founded semantics based on established AI principia for contextual representation and reasoning. While our previous work has mainly focused on the formal definitions and implementation of the CKR framework, the proposed poster illustrates the practical applicability of CKR features in real-world SW applications. The poster presents a concrete example of CKR use under the point of view of the tasks of modelling, reasoning over and querying contextualized knowledge.".
- 338 hasAuthorList authorList.
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- 338 keyword "Contextual knowledge representation".
- 338 keyword "Semantic repositories".
- 338 keyword "System application".
- 338 title "Managing Contextualized Knowledge with the CKR".
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- 341 creator nor-azlinayati-abdul-manaf.
- 341 creator robert-stevens.
- 341 creator sean-bechhofer.
- 341 type InProceedings.
- 341 label "The current state of SKOS vocabularies on the Web".
- 341 sameAs 341.
- 341 abstract "We survey the current state of SKOS vocabularies on the Web. We identified 478 SKOS vocabularies, which were gathered through collections and web crawling. Analyses were then conducted that included investigation of the use of SKOS constructs; the use of SKOS semantic relations and lexical labels; and the structure of vocabularies in terms of the hierarchical and associative relations, branching factors and the depth of the vocabularies. Almost one-third of the SKOS vocabularies collected fall into the term lists category, with no use of any SKOS semantic relations. As concept labelling is core to SKOS vocabularies, a surprising find is that not all SKOS vocabularies use SKOS lexical labels, whether skos:prefLabel or skos:altLabel, for their concepts. The survey results can serve to provide a better understanding of the modelling styles of the SKOS vocabularies published on the Web, especially when considering the creation of applications that utilize these vocabularies.".
- 341 hasAuthorList authorList.
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- 341 keyword "SKOS constructs usage".
- 341 keyword "SKOS vocabularies".
- 341 keyword "branching factors".
- 341 keyword "vocabulary structure".
- 341 title "The current state of SKOS vocabularies on the Web".
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- 347 creator benedikt-graeler.
- 347 creator giovana-mira-de-espindola.
- 347 creator tomi-kauppinen.
- 347 type InProceedings.
- 347 label "Sharing and Analyzing Remote Sensing Observation Data for Linked Science".
- 347 sameAs 347.
- 347 abstract "In order to make research settings transparent and reproducible there is a need for publishing both data and methods behind the research. In this paper our contribution is to show how large amounts of remote sensing observation data about the Brazilian Amazon Rainforest has been published as Linked Spatiotemporal Data. Moreover, we show how this data can be further accessed and analyzed using R statistical computing environment by openly available methods. This all is a contribution towards Linked Science, where not just publications, but data, methods, tools, and all scientific assets are interconnected and shared online.".
- 347 hasAuthorList authorList.
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- 347 keyword "Linked Science".
- 347 keyword "Linked Spatiotemporal Data".
- 347 keyword "Semantic Web".
- 347 keyword "Statistical Computing".
- 347 title "Sharing and Analyzing Remote Sensing Observation Data for Linked Science".
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