-
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
-
Davies, P.H.J.: Intelligence, information technology, and information warfare (2002)
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-
Bergeron, P.; Hiller, C.A.: Competitive intelligence (2002)
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Ekbia, H.: Fifty years of research in artificial intelligence (2010)
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Chowdhury, G.G.: Natural language processing (2002)
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- Abstract
- Natural Language Processing (NLP) is an area of research and application that explores how computers can be used to understand and manipulate natural language text or speech to do useful things. NLP researchers aim to gather knowledge an how human beings understand and use language so that appropriate tools and techniques can be developed to make computer systems understand and manipulate natural languages to perform desired tasks. The foundations of NLP lie in a number of disciplines, namely, computer and information sciences, linguistics, mathematics, electrical and electronic engineering, artificial intelligence and robotics, and psychology. Applications of NLP include a number of fields of study, such as machine translation, natural language text processing and summarization, user interfaces, multilingual and cross-language information retrieval (CLIR), speech recognition, artificial intelligence, and expert systems. One important application area that is relatively new and has not been covered in previous ARIST chapters an NLP relates to the proliferation of the World Wide Web and digital libraries.
-
Knutson, G.: ¬The year's work in descriptive cataloging, 1992 (1993)
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- Abstract
- The descriptive cataloging literature of 1992 is examined. A number of works deal with the cataloging of special materials. Work in artificial intelligence and expert systems is drawing increased attention, as is the problem of dealing with nonroman scripts in the online environment. Critical analyses of the Machine-Readable Cataloging (MARC) formats are also notable. The practicing cataloger is faced with the familiar dilemma of needing to improve cataloging techniques in the here and now, which almost inevitably means incremental change and the desire for a broader vision of the future. The literature shows good efforts in both areas but leaves many fundamental questions unanswered
-
Enser, P.G.B.: Visual image retrieval (2008)
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- Date
- 22. 1.2012 13:01:26
-
Morris, S.A.: Mapping research specialties (2008)
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- Date
- 13. 7.2008 9:30:22
-
Fallis, D.: Social epistemology and information science (2006)
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- Date
- 13. 7.2008 19:22:28
-
Nicolaisen, J.: Citation analysis (2007)
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- Date
- 13. 7.2008 19:53:22
-
Metz, A.: Community service : a bibliography (1996)
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- Date
- 17.10.1996 14:22:33
-
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
-
Warner, A.J.: Natural language processing (1987)
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- Source
- Annual review of information science and technology. 22(1987), S.79-108
-
Grudin, J.: Human-computer interaction (2011)
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- Date
- 27.12.2014 18:54:22
-
Dewey, S.H.: Foucault's toolbox : use of Foucault's writings in LIS journal literature, 1990-2016 (2020)
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- Abstract
- Purpose To provide a close, detailed analysis of the frequency, nature, and depth of visible use of Michel Foucault's works by library and information science/studies (LIS) scholars. Design/methodology/approach The study conducted extensive full-text searches in a large number of electronically available LIS journal databases to find citations of Foucault's works, then examined each cited article to evaluate the nature and depth of use. Findings Most uses of Foucault are brief or in passing. In-depth explorations of Foucault's works are comparatively rare and relatively little-used by other LIS scholars. Yet the relatively brief uses of Foucault encompass a wide array of different topics spread across a wide spectrum of LIS journal literature. Research limitations/implications The study was limited to articles from particular relatively prominent LIS journals. Results might vary if different journals or non-journal literature were studied. More sophisticated bibliometric techniques might reveal different relative performance among journals and might better test, confirm, or reject various patterns and relationships found here. Other research approaches, such as discourse analysis, social network analysis, or scholar interviews, might reveal patterns of use and influence not visible in this literature sample. Originality/value This intensive study of both quality and quantity of citations may challenge some existing assumptions regarding citation analysis, plus illuminating Foucault scholarship. It also indicates possible problems for future application of artificial intelligence (AI) approaches to similar depth-of-use studies.
-
Rader, H.B.: Library orientation and instruction - 1993 (1994)
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- Source
- Reference services review. 22(1994) no.4, S.81-
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Legg, C.: Ontologies on the Semantic Web (2007)
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- Abstract
- As an informational technology, the World Wide Web has enjoyed spectacular success. In just ten years it has transformed the way information is produced, stored, and shared in arenas as diverse as shopping, family photo albums, and high-level academic research. The "Semantic Web" is touted by its developers as equally revolutionary, although it has not yet achieved anything like the Web's exponential uptake. It seeks to transcend a current limitation of the Web - that it largely requires indexing to be accomplished merely on specific character strings. Thus, a person searching for information about "turkey" (the bird) receives from current search engines many irrelevant pages about "Turkey" (the country) and nothing about the Spanish "pavo" even if he or she is a Spanish-speaker able to understand such pages. The Semantic Web vision is to develop technology to facilitate retrieval of information via meanings, not just spellings. For this to be possible, most commentators believe, Semantic Web applications will have to draw on some kind of shared, structured, machine-readable conceptual scheme. Thus, there has been a convergence between the Semantic Web research community and an older tradition with roots in classical Artificial Intelligence (AI) research (sometimes referred to as "knowledge representation") whose goal is to develop a formal ontology. A formal ontology is a machine-readable theory of the most fundamental concepts or "categories" required in order to understand information pertaining to any knowledge domain. A review of the attempts that have been made to realize this goal provides an opportunity to reflect in interestingly concrete ways on various research questions such as the following: - How explicit a machine-understandable theory of meaning is it possible or practical to construct? - How universal a machine-understandable theory of meaning is it possible or practical to construct? - How much (and what kind of) inference support is required to realize a machine-understandable theory of meaning? - What is it for a theory of meaning to be machine-understandable anyway?
-
Hsueh, D.C.: Recon road maps : retrospective conversion literature, 1980-1990 (1992)
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- Source
- Cataloging and classification quarterly. 14(1992) nos.3/4, S.5-22
-
Gabbard, R.: Recent literature shows accelerated growth in hypermedia tools : an annotated bibliography (1994)
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- Source
- Reference services review. 22(1994) no.2, S.31-40
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Buckland, M.K.; Liu, Z.: History of information science (1995)
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- Date
- 13. 6.1996 19:22:20
