Search (6 results, page 1 of 1)

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Abstract

Examines the effectiveness of automated indexing and presents the results of a study of information retrieval from a segment (40.000 items) of the ULB Düsseldorf database. The segment was selected randomly and all the documents included were indexed automatically. The search topics included 50 subject areas ranging from economic growth to alternative energy sources. While there were 876 relevant documents in the database segment for each of the 50 search topics, the recall ranged from 1 to 244 references, with the average being 17.52 documents per topic. Therefore it seems that, in the immediate future, automatic indexing should be used in combination with intellectual indexing

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Abstract

Im Rahmen von MILOS II wurde das erste MILOS-Projekt zur automatischen Indexierung von Titeldaten um eine semantischer Komponente erweitert, indem Thesaurusrelationen der Schlagwortnormdatei eingebunden wurden. Der abschließend zur Evaluierung durchgeführte Retrievaltest und seine Ergebnisse stehen im Mittelpunkt dieses Texts. Zusätzlich wird ein Überblick über bereits durchgeführte Retrievaltests (vorwiegend des anglo-amerikanischen Raums) gegeben und es wird erläutert, welche grundlegenden Fragestellungen bei der praktischen Durchführung eines Retrievaltests zu beachten sind

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Abstract

This article describes a series of experiments with an interactive Chinese information retrieval system named CIRS and an interactive relational thesaurus. 2 important issues have been explored: whether thesauri enhance the retrieval effectiveness of Chinese documents, and whether automatic indexing can complete with manual indexing in a Chinese information retrieval system. Recall and precision are used to measure and evaluate the effectiveness of the system. Statistical analysis of the recall and precision measures suggest that the use of the relational thesaurus does improve the retrieval effectiveness both in the automatic indexing environment and in the manual indexing environment and that automatic indexing is at least as good as manual indexing

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Abstract

The Smart information retrieval project emphazises completely automatic approaches to the understanding and retrieval of large quantities of text. The work in the TREC-2 environment continues, performing both routing and ad hoc experiments. The ad hoc work extends investigations into combining global similarities, giving an overall indication of how a document matches a query, with local similarities identifying a smaller part of the document that matches the query. The performance of ad hoc runs is good, but it is clear that full advantage of the available local information is not been taken advantage of. The routing experiments use conventional relevance feedback approaches to routing, but with a much greater degree of query expansion than was previously done. The length of a query vector is increased by a factor of 5 to 10 by adding terms found in previously seen relevant documents. This approach improves effectiveness by 30-40% over the original query

Theme

Semantisches Umfeld in Indexierung u. Retrieval

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Abstract

The test ran between Nov 95-Aug 96 in Cologne Fachhochschule fur Bibliothekswesen (College of Librarianship).The test basis was a database of 190,000 book titles published between 1990-95. MILOS II mechanized indexing methods proved helpful in avoiding or reducing numbers of unsatisfied/no result retrieval searches. Retrieval from mechanised indexing is 3 times more successful than from title keyword data. MILOS II also used a standardized semantic vocabulary. Mechanised indexing demands high quality software and output data

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Footnote

Übers. d. Titels: Impact of the use of multi-terms on the quality of the answers of an information retrieval system based on automatic indexing