Semantic Web Services for Interdisciplinary Scientific Data Query and Retrieval

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Concepts:eScience & Web Science

Abstract:

We present a set of four web services provided as a result of our work in developing a semantic data framework in the setting of virtual observatories. These web services allow a client service to search for data using three primary selections: choose parameter, choose date-time range and choose instrument, and also to return appropriate service links to the actual data (the fourth service). These services are built using a shared and common understanding of the inputs, outputs and preconditions as defined by a formal ontology, encoded in OWL-DL and running in an internet accessible environment with Web Service Description Language (WSDL) bindings. Upon invocation the service can utilize reasoning services just as a user of the web portal is able to. The service client can optionally utilize the ontology when it consumes the service for additional knowledge or may be used purely syntactically (as most existing web services are now). We present these services, and how they are developed within a specific domain context for the Virtual Solar-Terrestrial Observatory.

History

DateCreated ByLink
August 29, 2011
11:34:43
Patrick WestDownload

Related Projects:

DCO-DS LogoVirtual Solar Terrestrial Observatory (VSTO)
Principal Investigator: Peter Fox
Co Investigator: Deborah L. McGuinness
Description: VSTO is a collaborative project between the High Altitude Observatory and Scientific Computing Division of the National Center for Atmospheric Research and McGuinness Associates. VSTO is funded by a grant from the National Science Foundation, Computer and Information Science and Engineering (CISE) in the Shared Cyberinfrastructure (SCI) division.

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