The Linguistic dimension in Information Sciences: An applied study to use indexing languages in the work of search engines

No Thumbnail Available
Sabri Elhaj, Elmubarak
Journal Title
Journal ISSN
Volume Title
Thesis Title: the Linguistic dimension in Information Sciences: An applied study to use indexing languages in the work of search engines. Candidates Name: Sabri Elhaj Elmubarak Elamin Degree: PhD in information & Library Sciences Graduates college – University of Khartoum Supervised By: Ustaz. Abu baker Elsiddig Osman Year: 2007 Along with increasing use of international databases, crosscultural indexing is becoming more common and tools like multilingual thesaurus are urgently needed. This study concentrates on cultural and linguistic problems in multilingual thesaurus. Very little attention has been paid to this topic in Arabic research and the need for this kind of study has grown rapidly. This study has proved that all the engines tested had ranking schemes that were not well documented, being based on how many times search words were mentioned, whether or not they appeared early in the document, whether or not they appeared close together, and how many search terms were matched. I did not find the IV ranking schemes very useful, as relevant and irrelevant pages frequently had the same scores. It is found that aggregating meaning is possible on the Internet because there are many easily accessible semantic objects to be harvested. Analysis of the aggregations can suggest patterns of high likelihood that permit applications to recommend, adapt, profile, forecast and so on. It has been proved that the terminology and thesaurus construction standards and guidebooks provide very little details and consideration about equivalence. It has been indicated that Google may index billions of Web pages, but it will never exhaust the store of meaning of the Web. The reason is that Google's aggregation strategy is only one of many different strategies that could be applied to the semantic objects in public Web space. It has been found that web search engines do not conspire to suppress controversy, but their strategies do lead to organizationally dominated search results depriving searchers of a richer experience and, sometimes, of essential decision–making information. These experiments suggest that bias exists, in one form or another, on the Web and should, in turn, force thinking about content on the Web in a more controversial light