-
Smith, L.C.: Artificial intelligence and information retrieval (1987)
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- Source
- Annual review of information science and technology. 22(1987), S.41-77
-
Enser, P.G.B.: Visual image retrieval (2008)
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- Date
- 22. 1.2012 13:01:26
- Source
- Annual review of information science and technology. 42(2008), S.3-42
-
Belkin, N.J.; Croft, W.B.: Retrieval techniques (1987)
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- Source
- Annual review of information science and technology. 22(1987), S.109-145
-
Kantor, P.B.: Information retrieval techniques (1994)
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- Abstract
- State of the art review of information retrieval techniques viewed in terms of the growing effort to implement concept based retrieval in content based algorithms. Identifies trends in the automation of indexing, retrieval, and the interaction between systems and users. Identifies 3 central issues: ways in which systems describe documents for purposes of information retrieval; ways in which systems compute the degree of match between a given document and the current state of the query; amd what the systems do with the information that they obtain from the users. Looks at information retrieval techniques in terms of: location, navigation; indexing; documents; queries; structures; concepts; matching documents to queries; restoring query structure; algorithms and content versus concepts; formulation of concepts in terms of contents; formulation of concepts with the assistance of the users; complex system codes versus underlying principles; and system evaluation
- Imprint
- Medford, NJ : Learned Information Inc.
- Source
- Annual review of information science and technology. 29(1994), S.53-90
-
Drenth, H.; Morris, A.; Tseng, G.: Expert systems as information intermediaries (1991)
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- Abstract
- Points out that expert systems have great potential to enhance access to information retrieval systems as they use expertise to carry out tasks such as diagnosis and planning and make expertise available to nonexperts. Potential end users of online information retrieval systems are frequently deterred by the complexity of theses systems. Expert systems can mediate between the searcher and the information retrieval system and might be the key both to increasing and end user searching and to improving the quality of searches overall
- Source
- Annual review of information science and technology. 26(1991), S.113-154
-
Shaw, D.: ¬The human-computer interface for information retrieval (1991)
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- Abstract
- Discusses the human-computer interface for information retrieval and notes that research on human-computer interface design has generated many widely-accepted principles of interface design which should be of interest and value to designers of information retrieval systems. Work on display features such as highlighting, colour, icons, and windows has received considerable attention. research has also focused on how the user interacts with the system, whether by commands, menus, or direct manipulation. Studies of interfaces for information retrieval systems reveal that online searching has emphasised developments of front ends, with some novel uses of graphics. CD-ROM and optical media are characterised by interface diversity, again with some inclusion of graphic interfaces. Online catalogues and full text data bases have provided interesting comparisons of mode of interaction
- Source
- Annual review of information science and technology. 26(1991), S.155-195
-
Downie, J.S.: Music information retrieval (2002)
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- Abstract
- Imagine a world where you walk up to a computer and sing the song fragment that has been plaguing you since breakfast. The computer accepts your off-key singing, corrects your request, and promptly suggests to you that "Camptown Races" is the cause of your irritation. You confirm the computer's suggestion by listening to one of the many MP3 files it has found. Satisfied, you kindly decline the offer to retrieve all extant versions of the song, including a recently released Italian rap rendition and an orchestral score featuring a bagpipe duet. Does such a system exist today? No. Will it in the future? Yes. Will such a system be easy to produce? Most decidedly not. Myriad difficulties remain to be overcome before the creation, deployment, and evaluation of robust, large-scale, and content-based Music Information Retrieval (MIR) systems become reality. The dizzyingly complex interaction of music's pitch, temporal, harmonic, timbral, editorial, textual, and bibliographic "facets," for example, demonstrates just one of MIR's perplexing problems. The choice of music representation-whether symbol-based, audio-based, or both-further compounds matters, as each choice determines bandwidth, computation, storage, retrieval, and interface requirements and capabilities.
- Source
- Annual review of information science and technology. 37(2003), S.295-342
-
Brooks, D.: System-system interaction in computerized indexing of visual materials : a selected review (1988)
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- Abstract
- International computerized indexing systems for visual materials are discussed. The systems included were among the best in the literature for their time or have significant potential and represent the state of the art in their respective countries. Technologies available for reproducing images are also investigated, highlighting videotex, videodisc, and digital storage. The interfacing of these technologies with each other and with online, postcoordinate retrieval systems could facilitate the ultimate achievement in visual indexing
- Source
- Information technology and libraries. 7(1988), S.111-123
-
Chang, S.J.; Rice, R.R.: Browsing: a multidimensional framework (1993)
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- Abstract
- State of the art review of browsing from many different multidisciplinary contexts, integrating the diverse literatures on browsing: library and information science (information searching); end user information retrieval and system design (database searching); consumer behaviour (store shopping); mass media audience (television channel switching); organizational communication; and wayfinding and environmental design. Considers what constitutes browsing, and what are the consequences of browsing. Attempts to identify the underlying common dimensions of browsing and the consequences of browsing in a wide variety of human activities
- Imprint
- Medford, NJ : Learned Information
- Source
- Annual review of information science and technology. 28(1993), S.231-276
-
Buckland, M.K.; Liu, Z.: History of information science (1995)
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- Abstract
- State of the art review of the historical development of information science as deemed to be covered by the particular interests of memebers of the American Society for Information Science, as defined as the representation, storage, transmission, selection, retrieval, filtering, and use of documents and messages. Arranges the references cited roughly according to the classification scheme used by Information Science Abstracts, and so uses the headings: background; information science; techniques and technology; information related behaviour; application areas; social aspects; education for information science; institutions; individuals; geographical areas; and conclusions
- Date
- 13. 6.1996 19:22:20
- Source
- Annual review of information science and technology. 30(1995), S.385-416
-
Hjoerland, B.; Kyllesbech Nielsen, L.: Subject access points in electronic retrieval (2001)
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- Source
- Annual review of information science and technology. 35(2001), S.249-298
- Theme
- Klassifikationssysteme im Online-Retrieval
Verbale Doksprachen im Online-Retrieval
-
Mostafa, J.: Digital image representation and access (1994)
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- Abstract
- State of the art review of techniques used to generate, store and retrieval digital images. Explains basic terms and concepts related to image representation and describes the differences between bilevel, greyscale, and colour images. Introduces additional image related data, specifically colour standards, correction values, resolution parameters and lookup tables. Illustrates the use of data compression techniques and various image data formats that have been used. Identifies 4 branches of imaging research related to dtaa indexing and modelling: verbal indexing; visual surrogates; image indexing; and data structures. Concludes with a discussion of the state of the art in networking technology with consideration of image distribution, local system requirements and data integrity
- Imprint
- Medford, NJ : Learned Information Inc.
- Source
- Annual review of information science and technology. 29(1994), S.91-135
-
Haas, S.W.: Natural language processing : toward large-scale, robust systems (1996)
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- Abstract
- State of the art review of natural language processing updating an earlier review published in ARIST 22(1987). Discusses important developments that have allowed for significant advances in the field of natural language processing: materials and resources; knowledge based systems and statistical approaches; and a strong emphasis on evaluation. Reviews some natural language processing applications and common problems still awaiting solution. Considers closely related applications such as language generation and th egeneration phase of machine translation which face the same problems as natural language processing. Covers natural language methodologies for information retrieval only briefly
- Source
- Annual review of information science and technology. 31(1996), S.83-119
-
Yang, K.: Information retrieval on the Web (2004)
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- Abstract
- How do we find information an the Web? Although information on the Web is distributed and decentralized, the Web can be viewed as a single, virtual document collection. In that regard, the fundamental questions and approaches of traditional information retrieval (IR) research (e.g., term weighting, query expansion) are likely to be relevant in Web document retrieval. Findings from traditional IR research, however, may not always be applicable in a Web setting. The Web document collection - massive in size and diverse in content, format, purpose, and quality - challenges the validity of previous research findings that are based an relatively small and homogeneous test collections. Moreover, some traditional IR approaches, although applicable in theory, may be impossible or impractical to implement in a Web setting. For instance, the size, distribution, and dynamic nature of Web information make it extremely difficult to construct a complete and up-to-date data representation of the kind required for a model IR system. To further complicate matters, information seeking on the Web is diverse in character and unpredictable in nature. Web searchers come from all walks of life and are motivated by many kinds of information needs. The wide range of experience, knowledge, motivation, and purpose means that searchers can express diverse types of information needs in a wide variety of ways with differing criteria for satisfying those needs. Conventional evaluation measures, such as precision and recall, may no longer be appropriate for Web IR, where a representative test collection is all but impossible to construct. Finding information on the Web creates many new challenges for, and exacerbates some old problems in, IR research. At the same time, the Web is rich in new types of information not present in most IR test collections. Hyperlinks, usage statistics, document markup tags, and collections of topic hierarchies such as Yahoo! (http://www.yahoo.com) present an opportunity to leverage Web-specific document characteristics in novel ways that go beyond the term-based retrieval framework of traditional IR. Consequently, researchers in Web IR have reexamined the findings from traditional IR research.
- Source
- Annual review of information science and technology. 39(2005), S.33-80
-
Bookstein, A.: Probability and Fuzzy-set applications to information retrieval (1985)
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- Source
- Annual review of information science and technology. 20(1985), S.117-151
-
Ruthven, R.: Interactive information retrieval (2008)
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- Source
- Annual review of information science and technology. 42(2008), S.xxx-xxx
-
Foster, J.: Collaborative information seeking and retrieval (2006)
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- Source
- Annual review of information science and technology. 40(2006), S.xxx-xxx
-
Saracevic, T.: Relevance: a review of the literature and a framework for thinking on the notion in information science. Part II : nature and manifestations of relevance (2007)
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- Abstract
- Relevance is a, if not even the, key notion in information science in general and information retrieval in particular. This two-part critical review traces and synthesizes the scholarship on relevance over the past 30 years and provides an updated framework within which the still widely dissonant ideas and works about relevance might be interpreted and related. It is a continuation and update of a similar review that appeared in 1975 under the same title, considered here as being Part I. The present review is organized into two parts: Part II addresses the questions related to nature and manifestations of relevance, and Part III addresses questions related to relevance behavior and effects. In Part II, the nature of relevance is discussed in terms of meaning ascribed to relevance, theories used or proposed, and models that have been developed. The manifestations of relevance are classified as to several kinds of relevance that form an interdependent system of relevances. In Part III, relevance behavior and effects are synthesized using experimental and observational works that incorporate data. In both parts, each section concludes with a summary that in effect provides an interpretation and synthesis of contemporary thinking on the topic treated or suggests hypotheses for future research. Analyses of some of the major trends that shape relevance work are offered in conclusions.
- Content
- Relevant: Having significant and demonstrable bearing on the matter at hand.[Note *][A version of this article has been published in 2006 as a chapter in E.G. Abels & D.A. Nitecki (Eds.), Advances in Librarianship (Vol. 30, pp. 3-71). San Diego: Academic Press. (Saracevic, 2006).] Relevance: The ability as of an information retrieval system to retrieve material that satisfies the needs of the user. - Merriam-Webster Dictionary 2005
- Source
- Journal of the American Society for Information Science and Technology. 58(2007) no.13, S.1915-1933
-
Harter, S.P.; Hert, C.A.: Evaluation of information retrieval systems : approaches, issues, and methods (1997)
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- Abstract
- State of the art review of information retrieval systems, defined as systems retrieving documents a sopposed to numerical data. Explains the classic Cranfield studies that have served as a standard for retrieval testing since the 1960s and discusses the Cranfield model and its relevance based measures of retrieval effectiveness. Details sosme of the problems with the Cranfield instruments and issues of validity and reliability, generalizability, usefulness and basic concepts. Discusses the evaluation of the Internet search engines in light of the Cranfield model, noting the very real differences between batch systems (Cranfield) and interactive systems (Internet). Because the Internet collection is not fixed, it is impossible to determine recall as a measure of retrieval effectiveness. considers future directions in evaluating information retrieval systems
- Source
- Annual review of information science and technology. 32(1997), S.3-94
-
Daniels, P.J.: Cognitive models in information retrieval : an evaluative review (1986)
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