Linked Vocabulary API for the Earth Sciences Community

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Presented at the AGU Fall Meeting 2014

Abstract:

The Linked Vocabulary API is a specification for publishing RESTful APIs of vocabularies represented in the Simple Knowledge Organization System (SKOS) as Linked Data on the web. This work began as part of the Coastal and Marine Spatial Planning Vocabularies (CMSPV) project in response to the need for a standard manner for agencies to publish and consume hierarchical vocabularies on the web. The RESTful architecture of the API provides a simple mechanism for consumption of full vocabularies, single vocabulary terms, related terms, and searches on terms. The Linked Data nature of the API promotes interoperability by exposing vocabulary resources as resolvable URIs that may be referenced from other vocabularies or sources of Linked Data and by allowing the published vocabulary to contain references as links to terms from other vocabularies. The Linked Vocabulary API is formally defined in a Linked Data API specification and may be deployed using standard implementations of the Linked Data API such as the Epimorphics Linked Data API (ELDA). Recent presentations of work done with the Linked Vocabulary API as part of the CMSPV project have resulted in the API receiving growing interest from the broader scientific community. In this contribution we present the Linked Vocabulary API design and deployment process.

History

DateCreated ByLink
December 17, 2014
10:39:33
Stephan ZednikDownload
December 15, 2014
22:40:57
Stephan ZednikDownload
December 11, 2014
18:16:53
Stephan ZednikDownload

Related Projects:

Coastal and Marine Spatial Planning Vocabularies (CMSPV)
Principal Investigator: Peter Fox
Description: Vocabulary and Ontology development within the context of the overall development of Coastal and Marine Spatial Planning (CMSP) and Ocean and Coastal Modeling (OCM) portals by environmental inter-agency collaboration to provide search and browse options that inspire user confidence that all relevant information has been found; data providers will know how to create metadata to increase the likelihood that their information will be found.

Related Research Areas:

Semantic eScience
Lead Professor: Peter Fox
Description:
Science has fully entered a new mode of operation. E-science, defined as a combination of science, informatics, computer science, cyberinfrastructure and information technology is changing the way all of these disciplines do both their individual and collaborative work.
As semantic technologies have been gaining momentum in various e-Science areas (for example, W3C's new interest group for semantic web health care and life science), it is important to offer semantic-based methodologies, tools, middleware to facilitate scientific knowledge modeling, logical-based hypothesis checking, semantic data integration and application composition, integrated knowledge discovery and data analyzing for different e-Science applications.
Partially influenced by the Artificial Intelligence community, the Semantic Web researchers have largely focused on formal aspects of semantic representation languages or general-purpose semantic application development, with inadequate consideration of requirements from specific science areas. On the other hand, general science researchers are growing ever more dependent on the web, but they have no coherent agenda for exploring the emerging trends on the semantic web technologies. It urgently requires the development of a multi-disciplinary field to foster the growth and development of e-Science applications based on the semantic technologies and related knowledge-based approaches.

Concepts: eScience