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ChemSem: an extensible and scalable RSS-based seminar alerting system for scientific collaboration
Henry S Rzepa1, Andrew Wheat, Mark J Williamson
1Department of Chemistry, Imperial College of Science, London SW7 2AY, United Kingdom.
Journal of Chemical Information and Modeling
|May 23, 2006
Summary
This system uses XML, CML/MathML, and open-source software to create seminar announcements via RSS feeds. This enables better aggregation and linking of diverse scientific information.
Area of Science:
- Computer Science
- Information Science
- Scientific Communication
Background:
- Conventional seminar announcement mechanisms lack advanced data structuring and interoperability.
- Integrating diverse scientific content for announcements presents significant challenges.
Purpose of the Study:
- To describe a novel seminar announcement system leveraging advanced data structures.
- To enhance the dissemination and discoverability of scientific seminars.
Main Methods:
- Extensive use of Extensible Markup Language (XML)-based data structures.
- Incorporation of Chemical Markup Language (CML) and Mathematical Markup Language (MathML) for molecular content.
- Development utilizing open-source software components.
- Output generation in Resource Description Framework (RDF) site summary (RSS) feed format.
Main Results:
- The system produces RSS feeds containing structured seminar information.
- The RSS feed format facilitates aggregation and sorting of diverse announcement data.
- Metadata enables sophisticated content organization and retrieval.
Conclusions:
- The described system offers significant advantages over traditional announcement methods.
- The use of RDF and RSS promotes interoperability and linking of scientific information.
- This approach enhances the potential for building interconnected knowledge bases.
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