Interoperability of text corpus annotations with the semantic web

Verspoor, Karin; Kim, Jin-Dong; Dumontier, Michel

doi:10.1186/1753-6561-9-s5-a2

Cited by 2 publications

(2 citation statements)

References 12 publications

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“…This makes finding, sharing and aggregating information from multiple sources easier, laying groundwork for the evolution of what is called "The Data Web" -the publishing of structured data records to the web for remote reusability and querying (Khalili et al, 2016). With a semantic web, data integration and interoperability of applications achieves a new level; providing interlinked open access to data and creating the path towards a its full evolution (Verspoor et al, 2015). As a result, web documents can become context-aware, using annotation data for various processing and management capabilities, facilitated by intelligent agents (Rudman and Bruwer, 2016).…”

Section: Semantic Technologiesmentioning

confidence: 99%

Leveraging cloud computing for the semantic web: review and trends

et al. 2019

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Semantic and Cloud Computing technologies have become vital elements for developing and deploying solutions across diverse fields in computing. While they are independent of each other, they can be integrated in diverse ways for developing solutions and this has been significantly explored in recent times. With the migration of web-based data and applications to cloud platforms and the evolution of the web itself from a social, web 2.0 to a semantic, web 3.0 comes the convergence of both technologies. While several concepts and implementations have been provided regarding interactions between the two technologies from existing research, without an explicit classification of the modes of interaction, it can be quite challenging to articulate the interaction modes, hence building upon them can be a very daunting task. Hence, this research identifies and describes the modes of interaction between them. Furthermore, a "cloud-driven" interaction mode which focuses on fully maximising cloud computing characteristics and benefits for driving the semantic web is described; providing an approach for evolving the semantic web and delivering automated semantic annotation on a large-scale to web applications.

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Section: Semantic Technologiesmentioning

confidence: 99%

Leveraging cloud computing for the semantic web: review and trends

et al. 2019

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“…Open Annotation. We describe text annotations according to the OA draft W3C standard 1 , which is an RDF-based graph representation compatible with linguistic annotation formalisms such as LAF/GrAF (Ide and Suderman, 2007;Verspoor and Livingston, 2012). At its most basic level, the OA model differentiates between three key components: annotation, body, and target, where the annotation expresses that the body is related to the target of the annotation (Figure 1).…”

Section: Designmentioning

confidence: 99%

Proceedings of ACL-IJCNLP 2015 System Demonstrations

2015

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Interoperability of text corpus annotations with the semantic web

Cited by 2 publications

References 12 publications

Leveraging cloud computing for the semantic web: review and trends

Leveraging cloud computing for the semantic web: review and trends

Proceedings of ACL-IJCNLP 2015 System Demonstrations

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