Search (49 results, page 2 of 3)

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Abstract

Examines how, for term based free text retrieval, Interactive Query Expansion (IQE) provides better retrieval performance tahn Automatic Query Expansion (AQE) but the performance of IQE depends on the strategy employed by the user to select expansion terms. The aim is to build an expert query expansion system using term selection rules based on expert users' strategies. It is expected that such a system will achieve better performance for novice or inexperienced users that either AQE or IQE. The procedure is to discover expert IQE users' term selection strategies through observation and interrogation, to construct a rule based query expansion (RQE) system based on these and to compare the resulting retrieval performance with that of comparable AQE and IQE systems

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Abstract

This project was designed to test the relative efficacy of index terms and full-text for the retrieval of documents in those MEDLINE journals for which full-text searching was also available. The full-text files used were MEDIS from Mead Data Central and CCML from BRS Information Technologies. One hundred clinical medical topics were searches in these two files as well as the MEDLINE file to accumulate the necessary data. It was found that full-text identified significantly more relevant articles than did the indexed file. Most relevant items missed in the full-text files, but identified in MEDLINE, were missed because the searcher failed to account for some aspect of natural language, used a logical or positional operator that was too restrictive, or included a concept which was implied, but not expressed in the natural language. Very few of the unique relevant full-text citations would have been retrievaed by title or abstract alone. Finally, as of July, 1990 the more current issue of a journal was just as likely to appear in MEDLINE as in one of the full-text files.

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Abstract

Examines how techniques in the field of natural language processing can be applied to the analysis of text in information retrieval. State of the art text searching programs cannot distinguish, for example, between occurrences of the sickness, AIDS and aids as tool or between library school and school nor equate such terms as online or on-line which are variants of the same form. To make these distinction, systems must incorporate knowledge about the meaning of words in context. Research in natural language processing has concentrated on the automatic 'understanding' of language; how to analyze the grammatical structure and meaning of text. Although many asoects of this research remain experimental, describes how these techniques to recognize spelling variants, names, acronyms, and abbreviations

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Abstract

Describes a typical traditional 1989 free text system and discusses developments in data storage, in search strategy and in the storage and retrieval of real time data. Outlines the following areas in which free text systems are likely to develop: standards; integration; dynamic data exchange; improved user interfaces; and better retrieval methods

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Abstract

Gross et al. (2015) have demonstrated that about a quarter of hits would typically be lost to keyword searchers if contemporary academic library catalogs dropped their controlled subject headings. This paper reports on an analysis of the loss levels that would result if a bibliographic database, namely the Australian Education Index (AEI), were missing the subject descriptors and identifiers assigned by its professional indexers, employing the methodology developed by Gross and Taylor (2005), and later by Gross et al. (2015). The results indicate that AEI users would lose a similar proportion of hits per query to that experienced by library catalog users: on average, 27% of the resources found by a sample of keyword queries on the AEI database would not have been found without the subject indexing, based on the Australian Thesaurus of Education Descriptors (ATED). The paper also discusses the methodological limitations of these studies, pointing out that real-life users might still find some of the resources missed by a particular query through follow-up searches, while additional resources might also be found through iterative searching on the subject vocabulary. The paper goes on to describe a new research design, based on a before - and - after experiment, which addresses some of these limitations. It is argued that this alternative design will provide a more realistic picture of the value that professionally assigned subject indexing and controlled subject vocabularies can add to literature searching of a more scholarly and thorough kind.

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Abstract

Gross et al. (2015) have demonstrated that about a quarter of hits would typically be lost to keyword searchers if contemporary academic library catalogs dropped their controlled subject headings. This article reports on an investigation of the search value that subject descriptors and identifiers assigned by professional indexers add to a bibliographic database, namely the Australian Education Index (AEI). First, a similar methodology to that developed by Gross et al. (2015) was applied, with keyword searches representing a range of educational topics run on the AEI database with and without its subject indexing. The results indicated that AEI users would also lose, on average, about a quarter of hits per query. Second, an alternative research design was applied in which an experienced literature searcher was asked to find resources on a set of educational topics on an AEI database stripped of its subject indexing and then asked to search for additional resources on the same topics after the subject indexing had been reinserted. In this study, the proportion of additional resources that would have been lost had it not been for the subject indexing was again found to be about a quarter of the total resources found for each topic, on average.

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Abstract

So far, methods for ellipsis and anaphor resolution have been developed and the effects of anaphor resolution have been analyzed in the context of statistical information retrieval of scientific abstracts. No significant improvements has been observed. Analyzes the effects of ellipsis and anaphor resolution on proximity searching in a full text database. Anaphora and ellipsis are classified on the basis of the type of their correlates / antecedents rather than, as traditional, on the basis of their own linguistic type. The classification differentiates proper names and common nouns of basic words, compound words, and phrases. The study was carried out in a newspaper article database containing 55.000 full text articles. A set of 154 keyword pairs in different categories was created. Human resolution of keyword ellipsis and anaphora was performed to identify sentences and paragraphs which would match proximity searches after resolution. Findings indicate that ellipsis and anaphor resolution is most relevant for proper name phrases and only marginal in the other keyword categories. Therefore the recall effect of restricted resolution of proper name phrases only was analyzed for keyword pairs containing at least 1 proper name phrase. Findings indicate a recall increase of 38.2% in sentence searches, and 28.8% in paragraph searches when proper name ellipsis were resolved. The recall increase was 17.6% sentence searches, and 19.8% in paragraph searches when proper name anaphora were resolved. Some simple and computationally justifiable resolution method might be developed only for proper name phrases to support keyword based full text information retrieval. Discusses elements of such a method

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Abstract

Full-text databases are becoming increasingly practical for publication and general use, since most publishers now use some form of computerized editorial and publication system. "Free text" retrieval from full-text databases is possible with many existing systems, but some information professionals are doubtful about the quality of information retrieval using this type of access. The "augmentation" or "enrichment" needed for practical operation of these systems is discussed

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Abstract

In 1985, an article by Blair and Maron described a detailed evaluation of the effectiveness of an operational full text retrieval system used to support the defense of a large corporate lawsuit. The following year Salton published an article which called into question the conclusions of the 1985 study. The following article briefly reviews the initial study, replies to the objections raised by the secon article, and clarifies several confusions and misunderstandings of the 1985 study

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Abstract

Full text management which applied to document management tends to be centred on text storage and retrieval. Recent developments are concerned with integration with relational database management system products to deliver document management services offering both the flexibility of text retrieval and the ability to support process based funnctions. There has been a move towards client server architectures, more user friendly user interfaces and more flexible and easier to understand retrieval. Advocates caution in choosing tasks for full text methods. Identifies document management functions for which the combined use of database management systems or special purpose tools should be considered

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Abstract

Wo war noch mal die Adressliste für das nächste Klassentreffen, wie lautet das Angebot vom Partyservice und wer hat überhaupt schon alles zugesagt? Das System braucht schon für eine einfache Recherche im Volltext aller Dateien extrem lange. Suchprogramme von Drittanbietern arbeiten nicht nur schneller, sondern auch besser

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Abstract

Dieser Artikel diskutiert die "sieben Todsünden" der Volltextrecherche und macht sowohl praktische als auch utopische Vorschläge zu ihrer Überwindung. Zunächst wird versucht, die persönlichen "sieben Sünden" auf einer Standardliste zu verzeichnen. Je nachdem, welches Standardwerk man zu Rate zieht, kommen hierbei einige interessante Abweichungen vor. Selbst der Thesaurus von WordPerfect zeigt auf die Frage nach "Sünde" hilfsbereit alle sieben! Ein Beispiel für "Stolz" ist das Online-System, für das in ganzseitigen Anzeigen in großen nationalen Publikationen erklärt wird: 'Unser Angebot ist eine Welt von Informationen auf Knopfdruck'. "Gier" ist das Downloading von Volltexten, "Trägheit" die langsame Verarbeitungszeit: "Geiz" hat etwas mit der Preisgestaltung zu tun, und alles liegt irgendwo zwischen "Lust" und "Ärger"; c'est la vie, n'est-ce pas?

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Abstract

Describes a research goal set by many offices within the US Department of Energy. Reviews efficient full text searching techniques being developed to better understand and meet this goal. Classical computer human interaction (CHI) approaches provided by commercial information retrieval engines fail to contextualize information in ways that facilitates timely decision making. Discusses the uses of advanced CHI techniques in combination with deductive database technology to augment the weaknesses found in the presentation capabilities of information retrieval engines. Presents various techniques employed in a WWW based prototype system currently under development

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Abstract

At Rotterdam Port Authority an information database has been created with approx. 100.000 full text documents online. Topic software has been used to identify word groups and refine search strategies to optimize precision and recall. The software guides users from selected terms to other relevant word combinations. Although the system would benefit from further refinement, users are generally satisfied. The database includes a number of foreign language documents but lacks a thesaurus of foreign terms

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Abstract

Discusses the introduction of hypermedia in information delivery and its advantages. Describes the special features in the design of full text databases and steps in developing in-house hypermedia databases. It may not be the job of the library professionals to design and develop the hypermedia system for information retrieval, but their ideas and experience will play an important role

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Source

Library journal. 112(1987) Nov.15, S.58-29

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Abstract

Methods and tools for finding documents relevant to a user's needs in a document corpora can be found in the information retrieval, library science, and hypertext communities. Typically, these systems provide retrieval capabilities for fairly static copora, their algorithms are dependent on the language for which they are written, e.g. English, and they do not perform well when presented with misspelled words or text that has been degraded by OCR techniques. In this article, we present experimentation results for the TELLTALE system. TELLTALE is a dynamic hypertext environment that provides full-text search from a hypertext-style user interface for text corpora that may be garbled by OCR or transmission errors, and that may contain languages other than English. TELLTALE uses several techniques based on n-grams (n character sequences of text). With these results we show that the dynamic linkage mechanisms in TELLTALE are tolerant of garbles in up to 30% of the characters in the body of the texts

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Abstract

The effectiveness ot two information retrieval tools, namely, thesaurus and natural language, in an information retrieval system has been studies. A database SOILSC was created using a HP3000/58 series minicomputer and MINISIS software. Records of articles totalling 17.918 published in various journals, received in the Central Water and Power Research Station (CWPRS) library (Pune, India) since 1988, have been stored. The information needs of a soil mechanics group have been formulated using thesaurus and natural language into 81 search strategies. In consultation with the user, relevance of the retrieved documents was assessed and, recall (R) and precision (P) values were calculated. Since both thesaurus and natural language have shown identical performance in information retrieval, a combination of these two have been suggested for making searches and providing relevant information

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Date

29. 9.2001 11:28:25