Information retrieval interaction
Information retrieval interaction
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
CiteSeer: an automatic citation indexing system
Proceedings of the third ACM conference on Digital libraries
Indexing and retrieval of scientific literature
Proceedings of the eighth international conference on Information and knowledge management
Hubs, authorities, and communities
ACM Computing Surveys (CSUR)
Indexing aids at corporate websites: the use of robots.txt and META Tags
Information Processing and Management: an International Journal
Mathematical models for academic webs: linear relationship or non-linear power law?
Information Processing and Management: an International Journal - Special issue: Infometrics
Extracting accurate and complete results from search engines: Case study windows live
Journal of the American Society for Information Science and Technology
Journal of the American Society for Information Science and Technology
Mathematical models for academic webs: Linear relationship or non-linear power law?
Information Processing and Management: an International Journal - Special issue: Infometrics
A prediction model for web search hit counts using word frequencies
Journal of Information Science
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Because of the increasing presence of scientific publications on the Web, combined with the existing difficulties in easily verifying and retrieving these publications, research on techniques and methods for retrieval of scientific Web publications is called for. In this article, we report on 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 on specifically selected domain topics that are searched for in three publicly accessible search engines (Google, AllTheWeb, and AltaVista). 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 AltaVista and AllTheWeb 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.