OSSES: An Online System for Studies on Evaluation of Systems
PROCEEDINGS
Catherine W Mulwa, Mary Sharp, Vincent Wade, Seamus Lawless, Trinity College Dublin, Ireland
EdMedia + Innovate Learning, in Toronto, Canada ISBN 978-1-880094-81-5 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC
Abstract
Abstract: Web crawlers are a significant component in Web search engines. This paper describes a distributed, Web-based system consisting of 3 layers: presentation, business logic and data persistence. The educational benefit of this system is in the provision of an interactive reference tool to encourage the evaluation of systems that fulfill certain methodological requirements. The studies collected can be used as a basis of a searchable online database that provides an overview of the state-of-the-art to a scientific community and encourages scientists to evaluate their own systems. The system will also help students identify pitfalls in the planning process as well as in data analysis. The collaborative nature of the tool facilitates the sharing of information among research students. The architecture includes RSS Feed Management, Paper Subscription, SMART URL analysis and Document Downloading. The system has been tested and evaluated showing good performance, the results are presented below.
Citation
Mulwa, C.W., Sharp, M., Wade, V. & Lawless, S. (2010). OSSES: An Online System for Studies on Evaluation of Systems. In J. Herrington & C. Montgomerie (Eds.), Proceedings of ED-MEDIA 2010--World Conference on Educational Multimedia, Hypermedia & Telecommunications (pp. 3210-3219). Toronto, Canada: Association for the Advancement of Computing in Education (AACE). Retrieved March 19, 2024 from https://www.learntechlib.org/primary/p/35100/.
© 2010 Association for the Advancement of Computing in Education (AACE)
References
View References & Citations Map- Bruegge, B., & Dutoit, A. (2009). Object oriented software engineering: Prentice Hall.
- Brusilovsky, P., Karagiannidis, P., and Sampson, C. (2004). Layered Evaluations of Adaptive Learning Systems. 14, 402-421.
- Girardi, C., Ricca, F., & Tonella, P. (2006). Web crawlers compared. International Journal of Web Information Systems, 2(2), 85-94.
- Olston, C., & Pandey, S. (2008). Recrawl scheduling based on information longevity.
- Tintarev, N., & Masthoff, J. (2009). Evaluating Recommender Explanations: Problems Experienced and Lessons Learned for the. UMAP 2009, 54.
- VanDer Geest T, Van Velsen, L., Klaassen, R., & Steehounder, M. (2008). User-centered evaluation of adaptive and adaptable systems: a literature review. The Knowledge Engineering Review, 23(03), 261-281.
- Weibelzahl, S. (2003). Evaluation of Adaptive Systems. University of Trier, Trier.
- Weibelzahl, S. (2005). Problems and pitfalls in evaluating adaptive systems. In: Fourth Workshop on the Evaluation of Adaptive Systems in conjuction with UM'05, 57-66.
- Weibelzahl, S., & Weber, G. (2001). A database of empirical evaluations of adaptive systems.-3219 DASHDASH
These references have been extracted automatically and may have some errors. Signed in users can suggest corrections to these mistakes.
Suggest Corrections to References