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Seiden, P.; Nuckolls, K.A.: Developing a Campus-Wide Information System using the Gopher protocol : a study of collection development and classification issues (1994)
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Hyldegaard, J.; Lund, H.; Seiden, P.: LIS meets the EIP (2002)
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- Abstract
- To meet a perceived need for information professionals engaging in projects on document and knowledge management, a new course on enterprise information portals (EIP) and intranets has been established at the Royal School of Library and Information Science (RSLIS). The aim of the course has been to provide the graduates with a better understanding of fundamental theoretical, methodological and practical aspects of developing and implementing an EIP. This paper addresses the theoretical, methodological and pedagogical aspects of developing the course and how or whether the expected learning outcome has been reached.
- Theme
- Information Gateway
- Type
- a
-
Jepsen, E.T.; Seiden, P.; Ingwersen, P.; Björneborn, L.; Borlund, P.: Characteristics of scientific Web publications : preliminary data gathering and analysis (2004)
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- Abstract
- Because of the increasing presence of scientific publications an the Web, combined with the existing difficulties in easily verifying and retrieving these publications, research an techniques and methods for retrieval of scientific Web publications is called for. In this article, we report an the initial steps taken toward the construction of a test collection of scientific Web publications within the subject domain of plant biology. The steps reported are those of data gathering and data analysis aiming at identifying characteristics of scientific Web publications. The data used in this article were generated based an specifically selected domain topics that are searched for in three publicly accessible search engines (Google, AlITheWeb, and AItaVista). A sample of the retrieved hits was analyzed with regard to how various publication attributes correlated with the scientific quality of the content and whether this information could be employed to harvest, filter, and rank Web publications. The attributes analyzed were inlinks, outlinks, bibliographic references, file format, language, search engine overlap, structural position (according to site structure), and the occurrence of various types of metadata. As could be expected, the ranked output differs between the three search engines. Apparently, this is caused by differences in ranking algorithms rather than the databases themselves. In fact, because scientific Web content in this subject domain receives few inlinks, both AItaVista and AlITheWeb retrieved a higher degree of accessible scientific content than Google. Because of the search engine cutoffs of accessible URLs, the feasibility of using search engine output for Web content analysis is also discussed.
- Source
- Journal of the American Society for Information Science and Technology. 55(2004) no.14, S.1239-1249
- Type
- a
