-
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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- 13. 7.2008 19:22:28
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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)
0.03
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- Source
- Annual review of information science and technology. 22(1987), S.109-145
-
Smith, L.C.: Artificial intelligence and information retrieval (1987)
0.03
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- Source
- Annual review of information science and technology. 22(1987), S.41-77
-
Warner, A.J.: Natural language processing (1987)
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- Source
- Annual review of information science and technology. 22(1987), S.79-108
-
Shue, J.-S.; Wu. S.: GAIS computer science bibliographies search (1997)
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- Abstract
- GAIS computer science bibliographies search is a WWW service providing a searchable interface on bibliographies related to computer science. It holds about 400.000 references, mirrored from the Informatics for Engineering and Science Department of the University of Karlsruhe, and allows full text searching through the search engine GAIS (Global Area Intelligent Search). Discusses its design and architecture
-
Grudin, J.: Human-computer interaction (2011)
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- Date
- 27.12.2014 18:54:22
-
Twidale, M.B.; Nichols, D.M.: Computer supported cooperative work in information search and retrieval (1999)
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-
Oppenheim, C.; Morris, A.; McKnight, C.: ¬The evaluation of WWW search engines (2000)
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- Abstract
- The literature of the evaluation of Internet search engines is reviewed. Although there have been many studies, there has been little consistency in the way such studies have been carried out. This problem is exacerbated by the fact that recall is virtually impossible to calculate in the fast changing Internet environment, and therefore the traditional Cranfield type of evaluation is not usually possible. A variety of alternative evaluation methods has been suggested to overcome this difficulty. The authors recommend that a standardised set of tools is developed for the evaluation of web search engines so that, in future, comparisons can be made between search engines more effectively, and that variations in performance of any given search engine over time can be tracked. The paper itself does not provide such a standard set of tools, but it investigates the issues and makes preliminary recommendations of the types of tools needed
-
Bar-Ilan, J.: ¬The use of Web search engines in information science research (2003)
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- Abstract
- The World Wide Web was created in 1989, but it has already become a major information channel and source, influencing our everyday lives, commercial transactions, and scientific communication, to mention just a few areas. The seventeenth-century philosopher Descartes proclaimed, "I think, therefore I am" (cogito, ergo sum). Today the Web is such an integral part of our lives that we could rephrase Descartes' statement as "I have a Web presence, therefore I am." Because many people, companies, and organizations take this notion seriously, in addition to more substantial reasons for publishing information an the Web, the number of Web pages is in the billions and growing constantly. However, it is not sufficient to have a Web presence; tools that enable users to locate Web pages are needed as well. The major tools for discovering and locating information an the Web are search engines. This review discusses the use of Web search engines in information science research. Before going into detail, we should define the terms "information science," "Web search engine," and "use" in the context of this review.
-
Chowdhury, G.G.: ¬The Internet and information retrieval research : a brief review (1999)
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- Abstract
- The Internet and related information services attract increasing interest from information retrieval researchers. A survey of recent publications shows that frequent topics are the effectiveness of search engines, information validation and quality, user studies, design of user interfaces, data structures and metadata, classification and vocabulary based aids, and indexing and search agents. Current research in these areas is briefly discussed. The changing balance between CD-ROM sources and traditional online searching is quite important and is noted
-
Rader, H.B.: Library orientation and instruction - 1993 (1994)
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- Source
- Reference services review. 22(1994) no.4, S.81-
-
Siqueira, J.; Martins, D.L.: Workflow models for aggregating cultural heritage data on the web : a systematic literature review (2022)
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- Abstract
- In recent years, different cultural institutions have made efforts to spread culture through the construction of a unique search interface that integrates their digital objects and facilitates data retrieval for lay users. However, integrating cultural data is not a trivial task; therefore, this work performs a systematic literature review on data aggregation workflows, in order to answer five questions: What are the projects? What are the planned steps? Which technologies are used? Are the steps performed manually, automatically, or semi-automatically? Which perform semantic search? The searches were carried out in three databases: Networked Digital Library of Theses and Dissertations, Scopus and Web of Science. In Q01, 12 projects were selected. In Q02, 9 stages were identified: Harvesting, Ingestion, Mapping, Indexing, Storing, Monitoring, Enriching, Displaying, and Publishing LOD. In Q03, 19 different technologies were found it. In Q04, we identified that most of the solutions are semi-automatic and, in Q05, that most of them perform a semantic search. The analysis of the workflows allowed us to identify that there is no consensus regarding the stages, their nomenclatures, and technologies, besides presenting superficial discussions. But it allowed to identify the main steps for the implementation of the aggregation of cultural data.
-
Rasmussen, E.M.: Indexing and retrieval for the Web (2002)
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- Abstract
- The introduction and growth of the World Wide Web (WWW, or Web) have resulted in a profound change in the way individuals and organizations access information. In terms of volume, nature, and accessibility, the characteristics of electronic information are significantly different from those of even five or six years ago. Control of, and access to, this flood of information rely heavily an automated techniques for indexing and retrieval. According to Gudivada, Raghavan, Grosky, and Kasanagottu (1997, p. 58), "The ability to search and retrieve information from the Web efficiently and effectively is an enabling technology for realizing its full potential." Almost 93 percent of those surveyed consider the Web an "indispensable" Internet technology, second only to e-mail (Graphie, Visualization & Usability Center, 1998). Although there are other ways of locating information an the Web (browsing or following directory structures), 85 percent of users identify Web pages by means of a search engine (Graphie, Visualization & Usability Center, 1998). A more recent study conducted by the Stanford Institute for the Quantitative Study of Society confirms the finding that searching for information is second only to e-mail as an Internet activity (Nie & Ebring, 2000, online). In fact, Nie and Ebring conclude, "... the Internet today is a giant public library with a decidedly commercial tilt. The most widespread use of the Internet today is as an information search utility for products, travel, hobbies, and general information. Virtually all users interviewed responded that they engaged in one or more of these information gathering activities."
Techniques for automated indexing and information retrieval (IR) have been developed, tested, and refined over the past 40 years, and are well documented (see, for example, Agosti & Smeaton, 1996; BaezaYates & Ribeiro-Neto, 1999a; Frakes & Baeza-Yates, 1992; Korfhage, 1997; Salton, 1989; Witten, Moffat, & Bell, 1999). With the introduction of the Web, and the capability to index and retrieve via search engines, these techniques have been extended to a new environment. They have been adopted, altered, and in some Gases extended to include new methods. "In short, search engines are indispensable for searching the Web, they employ a variety of relatively advanced IR techniques, and there are some peculiar aspects of search engines that make searching the Web different than more conventional information retrieval" (Gordon & Pathak, 1999, p. 145). The environment for information retrieval an the World Wide Web differs from that of "conventional" information retrieval in a number of fundamental ways. The collection is very large and changes continuously, with pages being added, deleted, and altered. Wide variability between the size, structure, focus, quality, and usefulness of documents makes Web documents much more heterogeneous than a typical electronic document collection. The wide variety of document types includes images, video, audio, and scripts, as well as many different document languages. Duplication of documents and sites is common. Documents are interconnected through networks of hyperlinks. Because of the size and dynamic nature of the Web, preprocessing all documents requires considerable resources and is often not feasible, certainly not an the frequent basis required to ensure currency. Query length is usually much shorter than in other environments-only a few words-and user behavior differs from that in other environments. These differences make the Web a novel environment for information retrieval (Baeza-Yates & Ribeiro-Neto, 1999b; Bharat & Henzinger, 1998; Huang, 2000).
-
Vakkari, P.: Task-based information searching (2002)
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- Abstract
- The rationale for using information systems is to find information that helps us in our daily activities, be they tasks or interests. Systems are expected to support us in searching for and identifying useful information. Although the activities and tasks performed by humans generate information needs and searching, they have attracted little attention in studies of information searching. Such studies have concentrated an search tasks rather than the activities that trigger them. It is obvious that our understanding of information searching is only partial, if we are not able to connect aspects of searching to the related task. The expected contribution of information to the task is reflected in relevance assessments of the information items found, and in the search tactics and use of the system in general. Taking the task into account seems to be a necessary condition for understanding and explaining information searching, and, by extension, for effective systems design.
-
Yu, N.: Readings & Web resources for faceted classification
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- Abstract
- The term "facet" has been used in various places, while in most cases it is just a buzz word to replace what is indeed "aspect" or "category". The references below either define and explain the original concept of facet or provide guidelines for building 'real' faceted search/browse. I was interested in faceted classification because it seems to be a natural and efficient way for organizing and browsing Web collections. However, to automatically generate facets and their isolates is extremely difficult since it involves concept extraction and concept grouping, both of which are difficult problems by themselves. And it is almost impossible to achieve mutually exclusive and jointly exhaustive 'true' facets without human judgment. Nowadays, faceted search/browse widely exists, implicitly or explicitly, on a majority of retail websites due to the multi-aspects nature of the data. However, it is still rarely seen on any digital library sites. (I could be wrong since I haven't kept myself updated with this field for a while.)
-
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
