DataONE AHM summary - Fall2014

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Authors:Xixi Luo

Abstract:

History

DateCreated ByLink
November 5, 2014
14:37:28
Xixi LuoDownload

Related Projects:

DataONE Semantics LogoDataONE Semantics (D1-Semantics)
Principal Investigator: Deborah L. McGuinness
Co Investigator: Matt Jones, Ben Leinfelder, Xixi Luo, and Mark Schildhauer
Description: Semantic search on measurements will enable precise data discovery by helping users identify relevant content from the massive and heterogeneous catalog in DataONE, thereby improving efficiency and opportunities for researchers and other data consumers.

Related Research Areas:

Ontology Engineering Environments
Lead Professor: Deborah L. McGuinness
Description: Ontology Engineering Environments
Concepts:
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: