Number of found records: 59
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FRICKÉ, Martin; FALLIS, Don |
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Indicators of accuracy for answers to ready reference questions on the Internet |
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Journal of the American Society for Information Science and technology, 2004,vol.55, n.39, pp. 238-245. |
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On line (13/05/2005) |
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The Internet is increasingly being used as a source of reference information. Internet users need to be able to distinguish accurate information from inaccurate information. Toward this end, information professionals have published checklists for evaluating information. However, such checklists can be effective only if the proposed indicators of accuracy really do indicate accuracy. This study implements a technique for testing such indicators of accuracy and uses it to test indicators of accuracy for answers to ready reference questions. Many of the commonly proposed indicators of accuracy (e.g., that the Web site does not contain advertising) were not found to be correlated with accuracy. However, the link structure of the Internet can be used to identify Web sites that are more likely to contain accurate reference information (AU) |
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evaluation; internet; accuracy |
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LALMAS, Mounia; RUTHVEN, Ian; VAN TIJSBERGEN, Keith |
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Incorporating user search behavior into relevance feedback. |
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Journal of the Amercian Society for Information Science and Technology, vol. 54, n.6, 2003, pp. 529-549 |
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On line (13/05/2005) |
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Presents 5 user experiments on incorporating behavioural information into the relevance feedback process. Concentrates on ranking terms for query expansion and selecting new terms to add to the user's query. The experiments are an attempt to widen the evidence used for relevance feedback from simply the relevant documents to include information on how users are searching. This information can lead to more successful relevance feedback techniques. The presentation of relevance feedback to the user is important in the success of relevance feedback. (AU) |
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Online information retrieval; Searching; Relevance feedback; Relationship; Search output; Information seeking behaviour; End users |
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LAUSEN, Holger; DING, Ying; STOLLBERG, Michael; FENSEL, Dieter; HERNANDEZ, Ruben Lara; HAN, Sung-Kook |
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Semantic web portals: state-of-the-art survey |
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Journal of Knowledge Management; 9 (5) 2005, pp.40-49 |
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On line ( 05/2006) (Only UGR) |
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Purpose: To present the state of the arts application of semantic web technologies in web portals and corresponding achievable improvements for identifying the potential improvement made by semantic web technology. Design/methodology/approach: An evaluation scheme is proposed to investigate various web portals that make use of semantic web technologies in order to identify their strengths and weaknesses. This scheme consists of three layers: information access, information processing and grounding technologies. Two academic portals and two commercial portals are selected based on the definition of semantic web portal. Detailed evaluation based on the proposed scheme is conducted on these four select portals. Findings: Semantic web technologies can definitely increase the information consistency and the information processing quality of web portals by using ontologies to model portal structure and consensus knowledge. Furthermore, semantic web services will be acting as the key technologies to lift current portals to next level. Originality/value: This paper proposes an elaborated evaluation method for investigating various portals. It reveals the current status of semantic web applications in web portals. (Original abstract) |
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Online information retrieval; World Wide Web; Semantic web; Searching; Web sites; Portals |
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MOODY, Daniel L., SHANKS, Graeme G. |
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Improving the quality of data models: empirical validation of a quality management framework |
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Information Systems, 2003, vol.28, n.6, pp.619-650. |
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On line (13/05/2005) |
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This paper describes the results of a 5-year research programme into evaluating and improving the quality of data models. The theoretical base for this work was a data model quality management framework proposed by Moody and Shanks (In: P. Loucopolous (Ed.), Proceedings of the 13th International Conference on the Entity Relationship Approach, Manchester, England, December 14-17, 1994). A combination of field and laboratory research methods (action research, laboratory experiments and systems development) was used to empirically validate the framework. This paper describes how the framework was used to: (a) quality assure a data model in a large application development project (product quality); (b) reengineer application development processes to build quality into the data analysis process (process quality); (c) investigate differences between data models produced by experts and novices; (d) provide automated support for the evaluation process (the Data Model Quality Advisor). The results of the research have been used to refine and extend the framework, to the point that it is now a stable and mature approach. (AU) |
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Requirements analysis; Data modelling; Entity relationship model; Quality assurance; Action research |
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