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Issue No.01 - January/February (2009 vol.24)
pp: 47-56
Kwok Cheung , University of Queensland
Jane Hunter , University of Queensland
John Drennan , University of Queensland
The MatSeek system is an ontology-based federated search interface to key materials science databases and analytical tools. By combining Semantic Web and Web 2.0 technologies, MatSeek provides materials scientists with a single Web interface that enables them to search across disparate databases containing crystal-structure data, ionic-conductivity data, and phase stability data; render 3D crystal-structure images; calculate bond lengths and angles; retrieve relevant scholarly references; and identify potential new materials with the structure and properties required to satisfy specific applications. The MatOnto ontology underlying MatSeek enables integration of data across disparate databases, and Web 2.0 technologies enable iterative searching across the databases. The results retrieved from searching the previous database are used as input to the query on the next database. By providing materials scientists with a single, integrated Web interface to the critical materials science databases and analytical tools, MatSeek represents a significant advance toward a full-fledged materials-informatics workbench.
semantic data integration, ontologies, materials informatics, data-driven materials science
Kwok Cheung, Jane Hunter, John Drennan, "MatSeek: An Ontology-Based Federated Search Interface for Materials Scientists", IEEE Intelligent Systems, vol.24, no. 1, pp. 47-56, January/February 2009, doi:10.1109/MIS.2009.13
1. W. Hunt, "Materials Informatics: Growing from the Bio World," J. Minerals, Metals and Materials Soc., vol. 58, no. 7, 2006, p. 88.
2. S.J.L. Billinge, K. Rajan, and S.B. Sinnott, From Cyberinfrastructure to Cyberdiscovery in Materials Science: Enhancing Outcomes in Materials Research, Education, and Outreach, US Nat'l Science Foundation, 2006.
3. A. Belsky et al., "New Developments in the Inorganic Crystal Structure Database (ICSD): Accessibility in Support of Materials Research and Design," Acta Crystallographica Section B, vol. 58, no. 3, part 1, 2002, pp. 364–369.
4. R. Shannon, "Revised Effective Ionic Radii and Systematic Studies of Interatomic Distances in Halides and Chalcogenides," Acta Crystallographica Section A, vol. 32, no. 5, 1976, pp. 751–767.
5. M. Tanaka, "Toward a Proposed Ontology for Nanoscience," CAIS/ACSI 2005: Data, Information, and Knowledge in a Networked World, Canadian Assoc. for Information Science, 2005;
6. T. O'Reilly, "What Is Web 2.0—Design Patterns and Business Models for the Next Generation of Software," O'Reilly, 2005; 2005/09/30what-is-web-20.html.
7. K. Cheung, J. Drennan, and J. Hunter, "Towards an Ontology for Data-Driven Discovery of New Materials," Proc. 2008 AAAI Spring Symp. Semantic Scientific Knowledge Integration, AAAI Press, 2008, pp. 9–14;
8. P. Srinath et al., "Axis2, Middleware for Next Generation Web Services," Proc. 2006 Int'l Conf. Web Services (ICWS 06), IEEE CS Press, 2006, pp. 833–840.
9. K. Smith, "Simplifying Ajax-Style Web Development," Computer, vol. 39, no. 5, 2006, pp. 98–101.
10. M.L. Reuven, "At the Forge: Dojo," Linux J., no. 155, 2007, p. 10;
11. G. Aldo et al., "Sweetening Ontologies with Dolce," Knowledge Eng. and Knowledge Management: Ontologies and the Semantic Web, Springer, 2002, pp. 223–233.
12. Y. Sure et al., "The SWRC Ontology—Semantic Web for Research Communities," Progress in Artificial Intelligence, LNCS 3803, Springer, 2005, pp. 218–231.
13. Joint Academic Classification of Subjects Version 2 (JACS2), Higher Education Statistics Agency, 2006; 263.
14. Time Ontology in OWL, World Wide Web Consortium (W3C) working draft, Sept. 2006;
15. L.N. Soldatova and R.D. King, "An Ontology of Scientific Experiments," J. Royal Soc. Interface, vol. 3, no. 11, 2006, pp. 795–803.
16. M. Smith, C. Welty, and D. McGuinness, OWL Web Ontology Language Guide, World Wide Web Consortium (W3C), 2004;
17. I.H. Witten and E. Frank, Data Mining: Practical Machine Learning Tools and Techniques, 2nd ed., Morgan Kaufmann, 2005.
18. S. Bowers et al., "Kepler/pPOD: Scientific Workflow and Provenance Support for As-sembling the Tree of Life," Provenance and Annotation of Data and Processes, LNCS 5272, Springer, 2008, pp. 70–77;
19. D. Hull et al., "Taverna: A Tool for Building and Running Workflows of Services," Nucleic Acids Research, vol. 34, 2006, pp. W729–W732.
20. E. Sirin et al., "Pellet: A Practical OWL-DL Reasoner," Web Semantics: Science, Services, and Agents on the World Wide Web, vol. 5, no. 2, 2007, pp. 51–53
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