Towards design principles for effective context-and perspective-based web mining
|Towards design principles for effective context-and perspective-based web mining|
|Author(s)||Vaishnavi V.K., Vandenberg A., Zhang Y., Duraisamy S.|
|Published in||Proceedings of the 4th International Conference on Design Science Research in Information Systems and Technology, DESRIST '09|
|Keyword(s)||Unknown (Extra: Design Principles, Faculty members, Information contents, Information sources, Plug and play, Research grants, Social Networks, Systematic designs, Web domains, Web Mining, Web page, Web system, Web-based resources, Wikipedia, Design, Information systems, World Wide Web, Research)|
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Towards design principles for effective context-and perspective-based web mining is a 2009 conference paper written in English by Vaishnavi V.K., Vandenberg A., Zhang Y., Duraisamy S. and published in Proceedings of the 4th International Conference on Design Science Research in Information Systems and Technology, DESRIST '09.
A practical and scalable web mining solution is needed that can assist the user in processing existing web-based resources to discover specific, relevant information content. This is especially important for researcher communities where data deployed on the World Wide Web are characterized by autonomous, dynamically evolving, and conceptually diverse information sources. The paper describes a systematic design research study that is based on prototyping/evaluation and abstraction using existing and new techniques incorporated as plug and play components into a research workbench. The study investigates an approach, DISCOVERY, for using (1) context/perspective information and (2) social networks such as ODP or Wikipedia for designing practical and scalable human-web systems for finding web pages that are relevant and meet the needs and requirements of a user or a group of users. The paper also describes the current implementation of DISCOVERY and its initial use in finding web pages in a targeted web domain. The resulting system arguably meets the common needs and requirements of a group of people based on the information provided by the group in the form of a set of context web pages. The system is evaluated for a scenario in which assistance of the system is sought for a group of faculty members in finding NSF research grant opportunities that they should collaboratively respond to, utilizing the context provided by their recent publications. Copyright 2009 ACM.
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