Call for Papers: Semantic eScience special issue in Earth Science Informatics journal

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NOTE: Submission deadline is extended to 03-31-2014. All acceptance/rejection letters will be sent by 09-18-2014, and the special issue will be published in Dec.,2014, as Issue 4 in Volume 7 of Earth Science Informatics.

Abstract:

CALL FOR PAPERS

Earth Science Informatics, Special Issue - Semantic e-Science
Guest Editors:
  • Xiaogang Ma, Rensselaer Polytechnic Institute, max7@rpi.edu
  • Peter Fox, Rensselaer Polytechnic Institute, pfox@cs.rpi.edu
  • Thomas Narock, University of Maryland, Baltimore County, thomas.w.narock@nasa.gov
  • Brian Wilson, NASA Jet Propulsion Laboratory, bdwilson@jpl.nasa.gov
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 how people in science disciplines conduct both individual and collaborative work. As e-Science flourishes and the barriers to data are being lowered, other more challenging questions are emerging, such as, "How do I use this data that I did not generate?" or "How do I use this data type, which I have never seen, together with the data I use every day?" or "What should I do if I really need data from another discipline but I cannot understand its terms?" As the volume, complexity, and heterogeneity of data resources grow, scientists increasingly need new capabilities that rely on "semantic" approaches (e.g., in the form of ontologies and vocabularies-machine encodings of terms, concepts, and relations among them) to help understand the meaning of data. The field of semantic e-Science fosters the growth and development of data-intensive scientific applications based on semantic methodologies and technologies, as well as related knowledge-based approaches. In recent years, semantic methodologies and technologies have been gaining momentum in e-Science areas such as solar-terrestrial physics, geology, ecology, oceanography, meteorology, and life sciences, to name a few. The developers of e-Science infrastructures are increasingly in need of semantic-based methodologies, tools, and middleware. This infrastructure will in turn facilitate scientific knowledge modeling, logic-based hypothesis checking, semantic data integration, application composition, integrated knowledge discovery and data analysis for different scientific domains, and building systems for use by scientists, students, and, increasingly, non-experts.

This special issue invites research papers that demonstrate how semantic methodologies and technologies are currently meeting scientific or engineering goals in Earth and space science domains. Papers should highlight the innovative designs, methods or applications associated with the semantic technologies. Review papers presenting state-of-the-art knowledge about a subject in semantic e-Science and methodology and software papers about a new algorithm or software package are also welcome. Authors should prepare their papers following the instructions for authors provided by Earth Science Informatics. Papers should be submitted on-line indicating the special issue "Semantic e-Science". Authors may contact a guest editor about their intention to submit, including a short description of the intended submission. Earth Science Informatics is a widely indexed and circulated international journal: http://www.springer.com/earth+sciences+and+geography/journal/12145.

Dates:
Full papers due: Mar. 15, 2014
End of the first review cycle: Jun., 2014
End of the second review cycle: Aug., 2014
Tentative publication date: Second half of 2014

History

DateCreated ByLink
March 13, 2014
12:00:17
Xiaogang MaDownload
November 13, 2013
11:55:07
Xiaogang MaDownload
October 11, 2013
15:44:09
Xiaogang MaDownload
October 11, 2013
15:40:05
Xiaogang MaDownload

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SeSF Project LogoSemantic eScience Framework (SeSF)
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DCO-DS LogoVirtual Solar Terrestrial Observatory (VSTO)
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Web Science Research Center (WSRC)
Principal Investigator: Deborah L. McGuinness
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Description: Web Science is the study of the World Wide Web and its impact on both society and technology, positioning the Web as an object of scientific study unto itself. Web Science recognizes the Web as a transformational, disruptive technology; its practitioners study the Web, its components, facets and characteristics. Ultimately, Web Science is about understanding the Web and anticipating how it might evolve in the future.

Related Research Areas:

Data Frameworks
Lead Professor: Peter Fox
Description: None.
Concepts: eScience
Data Science
Lead Professor: Peter Fox
Description: Science has fully entered a new mode of operation. Data science is advancing inductive conduct of science driven by the greater volumes, complexity and heterogeneity of data being made available over the Internet. Data science combines of aspects of data management, library science, computer science, and physical science using supporting cyberinfrastructure and information technology. As such it is changing the way all of these disciplines do both their individual and collaborative work.

Data science is helping scienists face new global problems of a magnitude, complexity and interdisciplinary nature whose progress is presently limited by lack of available tools and a fully trained and agile workforce.

At present, there is a lack formal training in the key cognitive and skill areas that would enable graduates to become key participants in escience collaborations. The need is to teach key methodologies in application areas based on real research experience and build a skill-set.

At the heart of this new way of doing science, especially experimental and observational science but also increasingly computational science, is the generation of data.

Concepts: eScience
Knowledge Provenance
Lead Professor: Deborah L. McGuinness
Description: Knowledge Provenance
Concepts: Provenance, Semantic Web
Ontology Engineering Environments
Lead Professor: Deborah L. McGuinness
Description: Ontology Engineering Environments
Concepts: Semantic Web
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
Web Science
Lead Professor: Jim Hendler, Deborah L. McGuinness
Description: Web Science is the study of the World Wide Web and its impact on both society and technology, positioning the Web as an object of scientific study unto itself. Web Science recognizes the Web as a transformational, disruptive technology; its practitioners study the Web, its components, facets and characteristics. Ultimately, Web Science is about understanding the Web and anticipating how it might evolve in the future.
Concepts: Semantic Web
X-informatics
Lead Professor: Peter Fox
Description: In the last 2-3 years, Informatics has attained greater visibility across a broad range of disciplines, especially in light of great successes in bio- and biomedical-informatics and significant challenges in the explosion of data and information resources. Xinformatics is intended to provide both the common informatics knowledge as well as how it is implemented in specific disciplines, e.g. X=astro, geo, chem, etc. Informatics' theoretical basis arises from information science, cognitive science, social science, library science as well as computer science. As such, it aggregates these studies and adds both the practice of information processing, and the engineering of information systems.
Concepts: Semantic Web, eScience