Search (43 results, page 2 of 3)

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Footnote

Rez. in: Information world review. 1999, no.146, S.26 (D. Parr)

LCSH

World Wide Web (Information retrieval system)
Information retrieval

Subject

World Wide Web (Information retrieval system)
Information retrieval

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LCSH

Information retrieval
Library information networks

Subject

Information retrieval
Library information networks

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Abstract

Human information interaction (HII) is an emerging area of study that investigates how people interact with information; its subfield human information behavior (HIB) is a flourishing, active discipline. Yet despite their obvious relevance to the design of information systems, these research areas have had almost no impact on systems design. One issue may be the contextual complexity of human interaction with information; another may be the difficulty in translating real-life and unstructured HII complexity into formal, linear structures necessary for systems design. In this book, Raya Fidel proposes a research approach that bridges the study of human information interaction and the design of information systems: cognitive work analysis (CWA). Developed by Jens Rasmussen and his colleagues, CWA embraces complexity and provides a conceptual framework and analytical tools that can harness it to create design requirements. CWA offers an ecological approach to design, analyzing the forces in the environment that shape human interaction with information. Fidel reviews research in HIB, focusing on its contribution to systems design, and then presents the CWA framework. She shows that CWA, with its ecological approach, can be used to overcome design challenges and lead to the development of effective systems. Researchers and designers who use CWA can increase the diversity of their analytical tools, providing them with an alternative approach when they plan research and design projects. The CWA framework enables a collaboration between design and HII that can create information systems tailored to fit human lives. Human Information Interaction constructs an elegant argument for an ecological approach to information behavior. Professor Raya Fidel's cogent exposition of foundational theoretical concepts including cognitive work analysis delivers thoughtful guidance for future work in information interaction. Raya Fidel provides the human information interaction field with a manifesto for studying human information behavior from a holistic perspective, arguing that context dominates human action and we are obligated to study it. She provides a tutorial on cognitive work analysis as a technique for such study. This book is an important contribution to the Information field. Raya Fidel presents a nuanced picture of research on human information interaction, and advocates for Cognitive Work Analysis as the holistic approach to the study and evaluation of human information interaction.

Content

Inhalt: Basic concepts -- What is human information interaction? -- Theoretical constructs and models in information seeking behavior -- The information need -- The search strategy -- Two generations of research -- In-context -- Theoretical traditions in human information behavior -- Interlude : models and their contribution to design -- Human information behavior and information retrieval : is collaboration possible? -- Cognitive work analysis : dimensions for analysis -- Cognitive work analysis : harnessing complexity -- Enhancing the impact of research in human information interaction.

LCSH

Information behavior
Information storage and retrieval systems
Information retrieval

RSWK

Anthropologie / Information Retrieval / Informationsverhalten (BVB)
Informationsverhalten / Information Retrieval / Mensch-Maschine-Kommunikation

Subject

Anthropologie / Information Retrieval / Informationsverhalten (BVB)
Informationsverhalten / Information Retrieval / Mensch-Maschine-Kommunikation
Information behavior
Information storage and retrieval systems
Information retrieval

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Imprint

Philadelphia : National Federation of Abstracting and Information Services

LCSH

Information retrieval

Subject

Information retrieval

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Content

Enthält die Beiträge: CROFT, W.B.: Combining approaches to information retrieval; GREIFF, W.R.: The use of exploratory data analysis in information retrieval research; PONTE, J.M.: Language models for relevance feedback; PAPKA, R. u. J. ALLAN: Topic detection and tracking: event clustering as a basis for first story detection; CALLAN, J.: Distributed information retrieval; XU, J. u. W.B. CROFT: Topic-based language models for ditributed retrieval; LU, Z. u. K.S. McKINLEY: The effect of collection organization and query locality on information retrieval system performance; BALLESTEROS, L.A.: Cross-language retrieval via transitive translation; SANDERSON, M. u. D. LAWRIE: Building, testing, and applying concept hierarchies; RAVELA, S. u. C. LUO: Appearance-based global similarity retrieval of images

Footnote

Information retrieval - Relevanz - Information Retrieval Systeme - Verteilte Systeme - Multimedia - Bildverarbeitung

LCSH

Information retrieval

Series

The Kluwer international series on information retrieval; 7

Subject

Information retrieval

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Abstract

For introductory information retrieval courses at the undergraduate and graduate level in computer science, information science and computer engineering departments. Written by a leader in the field of information retrieval, Search Engines: Information Retrieval in Practice, is designed to give undergraduate students the understanding and tools they need to evaluate, compare and modify search engines. Coverage of the underlying IR and mathematical models reinforce key concepts. The book's numerous programming exercises make extensive use of Galago, a Java-based open source search engine. SUPPLEMENTS / Extensive lecture slides (in PDF and PPT format) / Solutions to selected end of chapter problems (Instructors only) / Test collections for exercises / Galago search engine

LCSH

Information retrieval
Information Storage and Retrieval

RSWK

Suchmaschine / Information Retrieval

Subject

Suchmaschine / Information Retrieval
Information retrieval
Information Storage and Retrieval

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Abstract

Information retrieval (IR) is a complex human activity supported by sophisticated systems. Information science has contributed much to the design and evaluation of previous generations of IR system development and to our general understanding of how such systems should be designed and yet, due to the increasing success and diversity of IR systems, many recent textbooks concentrate on IR systems themselves and ignore the human side of searching for information. This book is the first text to provide an information science perspective on IR. Unique in its scope, the book covers the whole spectrum of information retrieval, including: history and background information; behaviour and seeking task-based information; searching and retrieval approaches to investigating information; interaction and behaviour information; representation access models; evaluation interfaces for IR; interactive techniques; web retrieval, ranking and personalization; and, recommendation, collaboration and social search multimedia: interfaces and access. A key text for senior undergraduates and masters' level students of all information and library studies courses, this book is also useful for practising LIS professionals who need to better appreciate how IR systems are designed, implemented and evaluated.

Content

Enthält die Beiträge: Interactive information retrieval: history and background / Colleen Cool and Nicholas J. Belkin - Information behavior and seeking / Peiling Wang - Task-based information searching and retrieval / Elaine G. Toms - Approaches to investigating information interaction and behaviour / Raya Fidel - Information representation / Mark D. Smucker - Access models / Edie Rasmussen - Evaluation / Kalervo Järvelin - Interfaces for information retrieval / Max Wilson - Interactive techniques / Ryen W. White - Web retrieval, ranking and personalization / Jaime Teevan and Susan Dumais - Recommendation, collaboration and social search / David M. Nichols and Michael B. Twidale - Multimedia: behaviour, interfaces and interaction / Haiming Liu, Suzanne Little and Stefan Rüger - Multimedia: information representation and access / Suzanne Little, Evan Brown and Stefan Rüger

LCSH

Information retrieval

RSWK

Information Retrieval / Informationsverhalten / Online-Recherche / Information-Retrieval-System / Aufsatzsammlung

Subject

Information Retrieval / Informationsverhalten / Online-Recherche / Information-Retrieval-System / Aufsatzsammlung
Information retrieval

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Abstract

The Architecture of Cyberspace is aimed at students taking information management as a minor in their course as well as those who manage document collections but who are not professional librarians. The first part of this book looks at how users find documents and the problems they have; the second part discusses how to manage the information space using various tools such as classification and controlled vocabularies. It also explores the general issues of publishing, including legal considerations, as well the main issues of creating and managing archives. Supported by exercises and discussion questions at the end of each chapter, the book includes some sample assignments suitable for use with students of this subject. A glossary is also provided to help readers understand the specialised vocabulary and the key concepts in the design and assessment of information spaces.

LCSH

Information technology
Information retrieval
Information resources management

RSWK

Information Engineering / Lehrbuch
Information Retrieval / Lehrbuch

Subject

Information Engineering / Lehrbuch
Information Retrieval / Lehrbuch
Information technology
Information retrieval
Information resources management

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COMPASS

Information retrieval
Information retrieval / Use of / On-line computers

Series

New directions in information management series; 27

Subject

Information retrieval
Information retrieval / Use of / On-line computers

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COMPASS

Information retrieval

Subject

Information retrieval

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COMPASS

Information retrieval

Footnote

Rez. in: Library and information research news. 16(1993) no.56, S.26-27 (J. Palmer); Journal of documentation 50(1994) no.2, S.142-144 (P. Willett); Australian academic and research libraries 1993, Sept., S.239-240 (C. Wilson)

Subject

Information retrieval

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COMPASS

Information retrieval

Subject

Information retrieval

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Abstract

The future of reference librarianship as a viable part of the library depends on developing a proactive, participatory approach to automation. Aims to pull together and explain the important elements of change likely to influence library information services. Reviews some of the ways various schools of thought look at library information and communication. Focuses on information, its relationship to the library, and its rate of growth. Discusses the dynamics of communications as a process and examines it vis-a-vis the library

COMPASS

Information retrieval

Subject

Information retrieval

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Abstract

This book provides relevant content in the areas of information retrieval systems, services, and research; covering topics such as social tagging, collaborative querying, social network analysis, subjective relevance judgments, and collaborative filtering. Answering the increasing demand for authoritative resources on Internet technologies, this will make an indispensable addition to any library collection

Content

Inhalt Collaborating to search effectively in different searcher modes through cues and specialty search / Naresh Kumar Agarwal and Danny C.C. Poo -- Collaborative querying using a hybrid content and results-based approach / Chandrani Sinha Ray ... [et al.] -- Collaborative classification for group-oriented organization of search results / Keiichi Nakata and Amrish Singh -- A case study of use-centered descriptions : archival descriptions of what can be done with a collection / Richard Butterworth -- Metadata for social recommendations : storing, sharing, and reusing evaluations of learning resources / Riina Vuorikari, Nikos Manouselis, and Erik Duval -- Social network models for enhancing reference-based search engine rankings / Nikolaos Korfiatis ... [et al.] -- From PageRank to social rank : authority-based retrieval in social information spaces / Sebastian Marius Kirsch ... [et al.] -- Adaptive peer-to-peer social networks for distributed content-based Web search / Le-Shin Wu ... [et al.] -- The ethics of social information retrieval / Brendan Luyt and Chu Keong Lee -- The social context of knowledge / Daniel Memmi -- Social information seeking in digital libraries / George Buchanan and Annika Hinze -- Relevant intra-actions in networked environments / Theresa Dirndorfer Anderson -- Publication and citation analysis as a tool for information retrieval / Ronald Rousseau -- Personalized information retrieval in a semantic-based learning environment / Antonella Carbonaro and Rodolfo Ferrini -- Multi-agent tourism system (MATS) / Soe Yu Maw and Myo-Myo Naing -- Hybrid recommendation systems : a case study on the movies domain / Konstantinos Markellos ... [et al.].

Imprint

Hershey, Pa. : Information Science Reference

LCSH

Information storage and retrieval systems
Information retrieval

RSWK

Information Retrieval / World Wide Web / Suchmaschine

Subject

Information storage and retrieval systems
Information retrieval
Information Retrieval / World Wide Web / Suchmaschine

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Abstract

Class-tested and coherent, this textbook teaches information retrieval, including web search, text classification, and text clustering from basic concepts. Ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students. Slides and additional exercises are available for lecturers. - This book provides what Salton and Van Rijsbergen both failed to achieve. Even more important, unlike some other books in IR, the authors appear to care about making the theory as accessible as possible to the reader, on occasion including short primers to certain topics or choosing to explain difficult concepts using simplified approaches. Its coverage [is] excellent, the quality of writing high and I was surprised how much I learned from reading it. I think the online resources are impressive.

Content

Inhalt: Boolean retrieval - The term vocabulary & postings lists - Dictionaries and tolerant retrieval - Index construction - Index compression - Scoring, term weighting & the vector space model - Computing scores in a complete search system - Evaluation in information retrieval - Relevance feedback & query expansion - XML retrieval - Probabilistic information retrieval - Language models for information retrieval - Text classification & Naive Bayes - Vector space classification - Support vector machines & machine learning on documents - Flat clustering - Hierarchical clustering - Matrix decompositions & latent semantic indexing - Web search basics - Web crawling and indexes - Link analysis Vgl. die digitale Fassung unter: http://nlp.stanford.edu/IR-book/pdf/irbookprint.pdf.

LCSH

Information retrieval

RSWK

Dokumentverarbeitung / Information Retrieval / Abfrageverarbeitung (GBV)
Information Retrieval / Einführung (BVB)

Subject

Dokumentverarbeitung / Information Retrieval / Abfrageverarbeitung (GBV)
Information Retrieval / Einführung (BVB)
Information retrieval

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Abstract

The relationship between a person with a question and a source of information is complex. Indexing and abstracting often fail because too much emphasis is put on the mechanics of description, and too little has been given as to what ought to be represented. Research literature suggests that inappropriate representation results in failed searches a significant number of times, perhaps even in a majority of cases. "Doing Things with Information" seeks to rectify this unfortunate situation by emphasizing methods of modeling and constructing appropriate representations of such questions and documents. Students in programs of information studies will find focal points for discussion about system design and refinement of existing systems. Librarians, scholars, and those who work within large document collections, whether paper or electronic, will find insights into the strengths and weaknesses of the access systems they use.

Content

Inhalt: 1. Background concepts and models 2. Considerations of representation 3. Representation, function, and utility 4. Failures of representation: Indeterminacy and depth 5. Aboutness and user-generated descriptors 6. Responses to indeterminacy 7. Doing things with word-based documents 8. Functional application of information measurement 9. Functional ontology construction 10. Creek pebbles: A summary metaphor and touchstone for exploration

Footnote

The authors state that this book emerged from a proposal to do a second edition of Explorations in Indexing and Abstracting (O'Connor 1996); much of its content is the result of the authors' reaction to the reviews of this first edition and their realization for "the necessity to address some more fundamental questions". Rez. in: KO 38(2011) no.1, S.62-64 (L.F. Spiteri): "This book provides a good overview of the relationship between the document and the user; in this regard, it reinforces the importance of the clientcentred approach to the design of document representation systems. In the final chapter, the authors state: "We have offered examples of new ways to think about messages in all sorts of media and how they might be discovered, analyzed, synthesized, and generated. We brought together philosophical, scientific, and engineering notions into a fundamental model for just how we might understand doing this with information" (p. 225). The authors have certainly succeeded in highlighting the complex processes, nature, and implications of document representation systems, although, as has been seen, the novelty of some of their discussions and suggestions is sometimes limited. With further explanation, the FOC model may serve as a useful way to understand how to build document representation systems to better meet user needs."; vgl.: http://www.ergon-verlag.de/isko_ko/downloads/ko_38_2011_1e.pdf.

LCSH

Information retrieval
Information storage and retrieval systems / Design

RSWK

Information-Retrieval-System

Subject

Information-Retrieval-System
Information retrieval
Information storage and retrieval systems / Design

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Abstract

The main goal of this book is to transfer new research results from the fields of advanced computer sciences and information science to the design of new search engines. The readers will have a better idea of the new trends in applied research. The achievement of relevant, organized, sorted, and workable answers- to name but a few - from a search is becoming a daily need for enterprises and organizations, and, to a greater extent, for anyone. It does not consist of getting access to structural information as in standard databases; nor does it consist of searching information strictly by way of a combination of key words. It goes far beyond that. Whatever its modality, the information sought should be identified by the topics it contains, that is to say by its textual, audio, video or graphical contents. This is not a new issue. However, recent technological advances have completely changed the techniques being used. New Web technologies, the emergence of Intranet systems and the abundance of information on the Internet have created the need for efficient search and information access tools.
Recent technological progress in computer science, Web technologies, and constantly evolving information available on the Internet has drastically changed the landscape of search and access to information. Web search has significantly evolved in recent years. In the beginning, web search engines such as Google and Yahoo! were only providing search service over text documents. Aggregated search was one of the first steps to go beyond text search, and was the beginning of a new era for information seeking and retrieval. These days, new web search engines support aggregated search over a number of vertices, and blend different types of documents (e.g., images, videos) in their search results. New search engines employ advanced techniques involving machine learning, computational linguistics and psychology, user interaction and modeling, information visualization, Web engineering, artificial intelligence, distributed systems, social networks, statistical analysis, semantic analysis, and technologies over query sessions. Documents no longer exist on their own; they are connected to other documents, they are associated with users and their position in a social network, and they can be mapped onto a variety of ontologies. Similarly, retrieval tasks have become more interactive and are solidly embedded in a user's geospatial, social, and historical context. It is conjectured that new breakthroughs in information retrieval will not come from smarter algorithms that better exploit existing information sources, but from new retrieval algorithms that can intelligently use and combine new sources of contextual metadata.
With the rapid growth of web-based applications, such as search engines, Facebook, and Twitter, the development of effective and personalized information retrieval techniques and of user interfaces is essential. The amount of shared information and of social networks has also considerably grown, requiring metadata for new sources of information, like Wikipedia and ODP. These metadata have to provide classification information for a wide range of topics, as well as for social networking sites like Twitter, and Facebook, each of which provides additional preferences, tagging information and social contexts. Due to the explosion of social networks and other metadata sources, it is an opportune time to identify ways to exploit such metadata in IR tasks such as user modeling, query understanding, and personalization, to name a few. Although the use of traditional metadata such as html text, web page titles, and anchor text is fairly well-understood, the use of category information, user behavior data, and geographical information is just beginning to be studied. This book is intended for scientists and decision-makers who wish to gain working knowledge about search engines in order to evaluate available solutions and to dialogue with software and data providers.

Content

Enthält die Beiträge: Das, A., A. Jain: Indexing the World Wide Web: the journey so far. Ke, W.: Decentralized search and the clustering paradox in large scale information networks. Roux, M.: Metadata for search engines: what can be learned from e-Sciences? Fluhr, C.: Crosslingual access to photo databases. Djioua, B., J.-P. Desclés u. M. Alrahabi: Searching and mining with semantic categories. Ghorbel, H., A. Bahri u. R. Bouaziz: Fuzzy ontologies building platform for Semantic Web: FOB platform. Lassalle, E., E. Lassalle: Semantic models in information retrieval. Berry, M.W., R. Esau u. B. Kiefer: The use of text mining techniques in electronic discovery for legal matters. Sleem-Amer, M., I. Bigorgne u. S. Brizard u.a.: Intelligent semantic search engines for opinion and sentiment mining. Hoeber, O.: Human-centred Web search.

LCSH

Information retrieval
Information retrieval / Research
Information storage and retrieval systems / Research
Information behavior

Subject

Information retrieval
Information retrieval / Research
Information storage and retrieval systems / Research
Information behavior

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Abstract

Information management (IM) has exploded in importance in recent years and yet until now there has been no Reader to introduce students to the subject. This comprehensive international collection introduces you to the core topics and methodologies used in teaching IM, namely: information behaviour; environmental scanning and decision making; knowledge management; and information strategy. These peer-reviewed papers represent an elite selection from the respected "Information Research" journal, each carefully updated to take into account recent developments. This book is an essential introduction to IM for all students on courses in library and information science, IM, information systems, business information technology, business management, computer science and information technology; as well as for practitioners working in a wide range of organizations providing information services.

Footnote

Rez. in: JASIST 58(2007) no.4, S.607-608 (A.D. Petrou): "One small example of a tension in the book's chapters can be expressed as: What exactly falls under information management (IM) as a domain of study? Is it content and research about a traditional life cycle of information, or is it the latter and also any other important issue in information research, such as culture, virtual reality, and online behavior, and communities of practice? In chapter 13, T.D. Wilson states, "Information management is the management of the life cycle to the point of delivery to the information user" (p. 164), yet as he also recognizes, other aspects of information are now included as IM's study matter. On p. 163 of the same chapter, Wilson offers Figure 12.2, titled "The extended life cycle of information." The life cycle in this case includes the following information stages: acquisition, organization, storage, retrieval, access and lending, and dissemination. All of these six stages Wilson labels, inside the circle, as IM. The rest of the extended information life cycle is information use, which includes use, sharing, and application. Chapter 3's author, Gunilla Widen-Wulff, quoting Davenport (1994), states "effective IM is about helping people make effective use of the information, rather than the machines" (p. 31). Widen-Wulff, however, addresses IM from an information culture perspective. To review the book's critical content, IM definitions and research methodology and methods reported in chapters are critically summarized next. This will provide basic information for anyone interested in using the book as an information research reader.
The chapter by Wilson and Maceviciûtè should have been the first in the book, as it offers an informative, clearly laid out, research-based picture for IM. The chapter offers IM definitions, as mentioned earlier, and also covers a couple of major studies concerned with mapping diversity of content and topics studied in the IM field. RefViz, a visualization tool and an addition to EndNote, was used to map 462 articles published between 1999 and 2004 that had the term information management in their title. Figure 2.1 (Visualization of the IM literature), presents the map's 18 groups or clusters of documents. Two studies by Wilson also are presented. A study completed in 2004 covered the years 2000 to 2004 and reviewed five journals with articles about information activities. The 2004 study analyzed 190 articles from 383 authors. Wilson developed a number of categories about information activities as part of the 2000 and 2004 studies that indicate the scope of the articles analyzed and IM's diversity of subject matter. The remainder of the chapter presents comparative data between the 2000 and 2004 research studies. Joyce Kirk provides a hierarchy of five IM definitions. "IM as IT systems" and "information resource management" are two of these definitions. While it is difficult to clearly recognize any of the hierarchy statements as a definition for IM, what can be had from this hierarchy is the realization, as cviu te' and Wilson state in chapter 2, that IM "is used as an abbreviation for the management of IT, information systems management, management information systems, etc." (p. 20). Perhaps, the critical usefulness of the chapter resides not so much in that it offers any ready to apply definitions for IM but rather in that it provides an overall review about information. The latter can be helpful for a book intended as an information research reader and as an introduction to IM. WidenWulff examined 15 Finnish insurance businesses and developed scales for the measurement of open and closed organizations, and also presented learning organization attributes in different information environments. A 1999 study by Aiki Tibar about critical success factors (CSF) and information needs of successful Estonian companies is the centerpiece of the chapter. The study's findings are presented in relation to previous and more recent research on CSF. The study's methodology was qualitative in nature, involving semistructured interviews with managers and engineers from 25 of the most successful companies in Estonia; these companies were selected in a contest in 1998 as being included in the top 50 most successful companies. In terms of findings, IM was a CFS that was mentioned the most frequently.
Chun Wei Choo focused on environmental analyzability and organizational intrusiveness in an effort to theorize and to highlight intricacies in scanning as managers attempt to deal with uncertainty and complexity in their environment. Correia and Wilson used a case-study approach to examine managerial scanning in 19 companies; 47 semistructured interviews were performed in an effort to develop a grounded theory of scanning. Because of the grounded theory approach, the authors did not use statistical sampling but rather utilized principles of maximum variation sampling and theoretical sampling. Categories and relationships that emerged from the grounded theory approach were utilized to build a model of the environmental process. Judith Broady-Preston presents an interesting discussion on balanced scorecard as a way to keep track of successful strategies and their impact on various areas of organizational performance, including finances, innovation and learning, and customer perceptions. Yet, although there have been three efforts to clarify the purpose of a balanced scorecard, the concept remains unclear, along with a role that information professionals can play in its successful application in organizations. France Bouthillier and Kathleen Shearer set review case studies of five private and five public organizations to bring out elements, practices, and benefits associated with knowledge management (KM). As stated by the authors: "generally speaking, IM involves the integration of a variety of activities designed to manage information and information resources throughout their life cycle" (p. 150). The authors say that the focus of KM initiatives, as opposed to the focus in IM initiatives, tends to be on "knowledge-sharing methodologies such as communities of practice, virtual collaboration and expert databases" (p. 150). In the chapter "The Nonsense of Knowledge Management" revisited by Wilson, he states that communities of practice are at the heart of methodologies for KM. And natural arenas for KM and communities of practice are various disciplines in education and departments in the medical field because of the collaborative spirit in these two fields. But, he also repeats his criticisms that beyond these arenas, there is no such thing as KM in business where competition is the norm rather than collaboration. He emphasizes that a common problem in the KM community is the treatment of knowledge as a thing or a commodity, when in reality, knowledge is a complex and dynamic process. The chapter also provides additional evidence from analysis of various publications that show KM as a fragmented field and as a business fad, according to Wilson.
Allen strikes a realistic note of the institutional importance of trust across teams of academics and administrators, and subsequently of the political behavior of academics and computer services administrators/ managers and the relation of the latter to information strategy formulation. Research was conducted at 12 university sites, information strategy process documents were analyzed, and 20 informants were interviewed at each site. The study's research focused on cross-case analysis (instead of an iterative approach to collection and analysis of data), research was longitudinal, and a grounded theory approach was employed. According to the author, findings confirm a similar position taken by Pettigrew (1977): "development of information strategy is the outcome of negotiated political relations" (p. 177). And for such negotiated political relations, the author concludes, trust is a necessary ingredient. It is important to reiterate that IM's scope requires a diversity of study methods and methodologies to address all issues involved. A multiplicity of information and IM definitions and the number of local and global issues that must be addressed, along with information's significance as resource and/or commodity in different types of organizations, necessitate diversity in information research. Each chapter has demonstrated a need to cover many aspects of IM and to ensure that there is as much clarity in that effort as possible, and yet differentiation of IM from other related fields such as KM clearly remains a top issue. As with any other effort to define a field's boundaries, the task at hand is not easy, but while definitions and boundaries are being worked out, there is always an opportunity to engage in fruitful discussions about scope and critical issues in information research."

LCSH

Information retrieval

Subject

Information retrieval

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Abstract

An important part of our information-gathering behavior has always been to find out what other people think. With the growing availability and popularity of opinion-rich resources such as online review sites and personal blogs, new opportunities and challenges arise as people can, and do, actively use information technologies to seek out and understand the opinions of others. The sudden eruption of activity in the area of opinion mining and sentiment analysis, which deals with the computational treatment of opinion, sentiment, and subjectivity in text, has thus occurred at least in part as a direct response to the surge of interest in new systems that deal directly with opinions as a first-class object. Opinion Mining and Sentiment Analysis covers techniques and approaches that promise to directly enable opinion-oriented information-seeking systems. The focus is on methods that seek to address the new challenges raised by sentiment-aware applications, as compared to those that are already present in more traditional fact-based analysis. The survey includes an enumeration of the various applications, a look at general challenges and discusses categorization, extraction and summarization. Finally, it moves beyond just the technical issues, devoting significant attention to the broader implications that the development of opinion-oriented information-access services have: questions of privacy, vulnerability to manipulation, and whether or not reviews can have measurable economic impact. To facilitate future work, a discussion of available resources, benchmark datasets, and evaluation campaigns is also provided. Opinion Mining and Sentiment Analysis is the first such comprehensive survey of this vibrant and important research area and will be of interest to anyone with an interest in opinion-oriented information-seeking systems.

LCSH

Information behavior
Information retrieval

Series

Foundations and trends(r) in information retrieval; 2,1/2

Subject

Information behavior
Information retrieval

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Abstract

Documents usually have a content and a structure. The content refers to the text of the document, whereas the structure refers to how a document is logically organized. An increasingly common way to encode the structure is through the use of a mark-up language. Nowadays, the most widely used mark-up language for representing structure is the eXtensible Mark-up Language (XML). XML can be used to provide a focused access to documents, i.e. returning XML elements, such as sections and paragraphs, instead of whole documents in response to a query. Such focused strategies are of particular benefit for information repositories containing long documents, or documents covering a wide variety of topics, where users are directed to the most relevant content within a document. The increased adoption of XML to represent a document structure requires the development of tools to effectively access documents marked-up in XML. This book provides a detailed description of query languages, indexing strategies, ranking algorithms, presentation scenarios developed to access XML documents. Major advances in XML retrieval were seen from 2002 as a result of INEX, the Initiative for Evaluation of XML Retrieval. INEX, also described in this book, provided test sets for evaluating XML retrieval effectiveness. Many of the developments and results described in this book were investigated within INEX.

LCSH

Information retrieval

Series

Synthesis lectures on information concepts, retrieval & services; 7

Subject

Information retrieval