Exploring Independent Trends in a Topic-Based Search Engine
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
IEEE Transactions on Knowledge and Data Engineering
Information and Software Technology
A proposal for a set of attributes relevant for Web portal data quality
Software Quality Control
Provision of External Data for DSS, BI, and DW by Syndicate Data Suppliers
Proceedings of the 2008 conference on Collaborative Decision Making: Perspectives and Challenges
Group assessment of web source/information quality based on WebQM and fuzzy logic
RSKT'08 Proceedings of the 3rd international conference on Rough sets and knowledge technology
Defining a data quality model for web portals
WISE'06 Proceedings of the 7th international conference on Web Information Systems
A first approach to a data quality model for web portals
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part III
A quality aware service-oriented web warehouse platform
Proceedings of the 2012 Joint EDBT/ICDT Workshops
Using information quality for the identification of relevant web data sources: a proposal
Proceedings of the 14th International Conference on Information Integration and Web-based Applications & Services
International Journal of Web Based Communities
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A company's local data often is not sufficient toanalyze market trends and make reasonable businessplans. Decision making must also be based on informationfrom suppliers, partners and competitors. Systematicallyintegrating suitable external data from the Web into a datawarehouse is a meaningful solution and will benefit theenterprise. However, the autonomy and the dynamics ofthe Web make the task of selecting relevant and qualifiedexternal data from the Web challenging.In this paper, we develop a set of criteria for evaluatingand selecting Web resources as external data sources of adata warehouse and discuss how to screen Web data sourcesusing Multi-Criteria Decision Making (MCDM) methods.The final decision with respect to selecting Web sources issensitive to critical factors, i.e., the criterion weight and theperformance score of alternatives in terms of each criterion.In this paper, we analyzed the sensitivity of the final rankof alternatives in terms of the critical factors in oder togain an insight into the stability of our final decision. Thecomparison of several MCDM approaches for Web sourcescreening is also presented in the paper.