Search (19 results, page 1 of 1)

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Source

Information retrieval. 2(2000), S.165-176

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Abstract

Information theory "measures quantity of information" and is that branch of applied mathematics that deals with the efficient transmission of messages in an encoded language. It is fundamental to modern methods of telecommunication, image compression, and security. Its relation to library information science is less direct. More relevant to the LIS conception of "quantity of information" are economic concepts related to the expected value of a decision, and the influence of imperfect information on that expected value.

Source

Encyclopedia of library and information sciences. 3rd ed. Ed.: M.J. Bates

Theme

Information

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Source

Bulletin of the American Society for Information Science. 28(2002) no.6, S.22-24

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Abstract

Discusses underlying concepts related to value that must be clarified in order to proceed with any pragmatic study of value, and establishes a theory of use-oriented value of information and information services. Examines the notion of value in philosophy and economics and in relation to library and information services as well as the connection between value and relevance. Develops 2 models: one related to use of information and the other to use of library and information services. They are a theoretical framework for pragmatic study of value and a guide for the development of a Derived Taxonomy of Value in Using Library and Information Services

Footnote

1st part of a study to develop a taxonomy of value-in-use of library and information services based on users assessments and to propose methods and instruments for similar studies of library and information services in general

Source

Journal of the American Society for Information Science. 48(1997) no.6, S.527-542

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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

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Abstract

The outputs of several information filtering (IF) systems can be combined to improve filtering performance. In this article the authors propose and explore a framework based on the so-called information structure (IS) model, which is frequently used in Information Economics, for combining the output of multiple IF systems according to each user's preferences (profile). The combination seeks to maximize the expected payoff to that user. The authors show analytically that the proposed framework increases users expected payoff from the combined filtering output for any user preferences. An experiment using the TREC-6 test collection confirms the theoretical findings.

Source

Journal of the American Society for Information Science and Technology. 57(2006) no.3, S.306-320

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Source

Journal of the American Society for Information Science. 38(1987), S.211-214

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Abstract

Details with specifics of the study: importance of taxonomy; the method used for gathering data on user assessments of value in 5 research libraries, involving 18 services and 528 interviews with users; development and presentation of the taxonomy; and statistics and tests of the taxonomy. A novel aspect is the division of value of information services into 3 general classes or facets; reasons for use of a service in the given instance; quality of interaction (use) related to that service; and worth, benefits, or implications of subsequent results from use

Footnote

2nd part of a study to develop a taxonomy of value-in-use of library and information services based on users assessments and to propose methods and instruments for similar studies of library and information services in general

Source

Journal of the American Society for Information Science. 48(1997) no.6, S.543-563

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Abstract

In collaborative information finding systems, evaluations provided by users assist other users with similar needs. This article examines the problem of getting users to provide evaluations, thus overcoming the so-called "free-riding" behavior of users. Free riders are those who use the information provided by others without contributing evaluations of their own. This article reports on an experiment conducted using the "AntWorld," system, a collaborative information finding system for the Internet, to explore the effect of added motivation on users' behavior. The findings suggest that for the system to be effective, users must be motivated either by the environment, or by incentives within the system. The findings suggest that relatively inexpensive extrinsic motivators can produce modest but significant increases in cooperative behavior

Source

Journal of the American Society for Information Science and technology. 52(2001) no.11, S.879-887

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Abstract

In a novel approach to information finding in networked environments, each user's specific purpose or "quest" can be represented in numerous ways. The most familiar is a list of keywords, or a natural language sentence or paragraph. More effective is an extended text that has been judged as to relevance. This forms the basis of relevance feedback, as it is used in information retrieval. In the "Ant World" project (Ant World, 1999; Kantor et al., 1999b; Kantor et al., 1999a), the items to be retrieved are not documents, but rather quests, represented by entire collections of judged documents. In order to save space and time we have developed methods for representing these complex entities in a short string of about 1,000 bytes, which we call a "Digital Information Pheromone" (DIP). The principles for determining the DIP for a given quest, and for matching DIPs to each other are presented. The effectiveness of this scheme is explored with some applications to the large judged collections of TREC documents

Imprint

Medford, NJ : Information Today

Series

Proceedings of the American Society for Information Science; vol.36

Source

Knowledge: creation, organization and use. Proceedings of the 62nd Annual Meeting of the American Society for Information Science, 31.10.-4.11.1999. Ed.: L. Woods

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Source

Journal of the American Society for Information Science. 49(1998) no.6, S.557-566

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Abstract

In anticipation of the explosive growth of digital libraries, a complex study was undertaken seeking to evaluate 21 diverse services at 5 major academic research libraries. This work stands as a model for evaluation of digital libraries, through its focus on both the costs of operations and the impacts of the services that those operations provide. The data have been analyzed using both statistical methods and methods of Data Envelopment Analysis. The results of the study, which are presented in detail, serve to demonstrate that a cross-functional approach to library services is feasible. They also highlight a new measure of impact, which is a weighted logarithmic combination of the amount of time that users spend interacting with the service, combined with a Likert-scale indication of the value of that service in relation to the time expended. The measure derived, incorporating simple information obtainable from the user, together with information which is readily available in server/client logs, provides an excellent foundation for transferring these measurement principles to the Digital Library environment

Imprint

Medford, NJ : Information Today

Series

Proceedings of the American Society for Information Science; vol.36

Source

Knowledge: creation, organization and use. Proceedings of the 62nd Annual Meeting of the American Society for Information Science, 31.10.-4.11.1999. Ed.: L. Woods

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Abstract

Previous models of searching behavior have taken as their foundation the Markov model of random processes. In this model, the next action that a user takes is determined by a probabilistic rule which is conditioned by the most recent experiences of the user. This model, which has achieved very limited success in describing real data, is at odds with the evidence of introspection in a crucial way. Introspection reveals that when we search we are, more or less, in a state of expectancy, which can be satisfied in a number of ways. In addition, the state can be modified by the accumulated evidence of our searches. The Markov model approach can not readily accommodate such persistence of intention and behavior. The Petri Net model, which has been developed to analyze the interdependencies among events in a communications network, can be adapted to this situation. In this adaptation, the so-called "transitions" of the Petri Net occur only when their necessary pre-conditions have been met. We are able to show that various key abstractions of information finding, such as "document relevance", "a desired number of relevant documents", "discouragement", "exhaustion" and "satisfaction" can all be modeled using the Petri Net framework. Further, we show that this model leads naturally to a new approach to the collection of user data, and to the analysis of transaction logs, by providing a far richer description of the user's present state, without inducing a combinatorial explosion

Imprint

Medford, NJ : Information Today

Series

Proceedings of the American Society for Information Science; vol.36

Source

Knowledge: creation, organization and use. Proceedings of the 62nd Annual Meeting of the American Society for Information Science, 31.10.-4.11.1999. Ed.: L. Woods

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Abstract

In this article, we introduce a new information system evaluation method and report on its application to a collaborative information seeking system, AntWorld. The key innovation of the new method is to use precisely the same group of users who work with the system as judges, a system we call Cross-Evaluation. In the new method, we also propose to assess the system at the level of task completion. The obvious potential limitation of this method is that individuals may be inclined to think more highly of the materials that they themselves have found and are almost certain to think more highly of their own work product than they do of the products built by others. The keys to neutralizing this problem are careful design and a corresponding analytical model based on analysis of variance. We model the several measures of task completion with a linear model of five effects, describing the users who interact with the system, the system used to finish the task, the task itself, the behavior of individuals as judges, and the selfjudgment bias. Our analytical method successfully isolates the effect of each variable. This approach provides a successful model to make concrete the "threerealities" paradigm, which calls for "real tasks," "real users," and "real systems."

Source

Journal of the American Society for Information Science and Technology. 57(2006) no.5, S.614-628

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Imprint

Medford, NJ : Information Today

Series

Proceedings of the American Society for Information Science; vol.36

Source

Knowledge: creation, organization and use. Proceedings of the 62nd Annual Meeting of the American Society for Information Science, 31.10.-4.11.1999. Ed.: L. Woods

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Abstract

The authors report on a series of experiments to automate the assessment of document qualities such as depth and objectivity. The primary purpose is to develop a quality-sensitive functionality, orthogonal to relevance, to select documents for an interactive question-answering system. The study consisted of two stages. In the classifier construction stage, nine document qualities deemed important by information professionals were identified and classifiers were developed to predict their values. In the confirmative evaluation stage, the performance of the developed methods was checked using a different document collection. The quality prediction methods worked well in the second stage. The results strongly suggest that the best way to predict document qualities automatically is to construct classifiers on a person-by-person basis.

Source

Journal of the American Society for Information Science and Technology. 57(2006) no.9, S.1155-1164

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Abstract

Describes the evolution of the concept of an Adaptive Network Library Interface (ANLI) and explores several technical and research issues. The ANLI is a computer program that stands as a buffer between users of the library catalogue and the catalogue itself. This buffer unit maintains its own network of pointers from book to book, which it elicits from the users, interactively. It is hoped that such a buffer increases the value of the catalogue for users and provides librarians with new and useful information about the books in the collection. Explores the relationship between this system and hypertext and neural networks

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Source

Journal of the American Society for Information Science and Technology. 62(2011) no.9, S.1653-1665

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Source

Journal of the Association for Information Science and Technology. 71(2020) no.3, S.300-313