Search (42 results, page 2 of 3)

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Footnote

Rez. in: Technical services quarterly. 9(1992) no.3, S.87-88 (H.L. Hoerman); Knowledge organization 20(1993) no.3, S.165-166 (O. Oberhauser); JASIS 44(1993) S.593 (D. Vizine-Goetz)
2. Aufl. unter: Olson, H.A., J.J. Boll: Subject access in online catalogs. 2nd ed. Englewood, CO: Libraries Unlimited 2001. xv, 333 S. ISBN 1-56308-800-2

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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.

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.

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Footnote

Rez. in: Information Research, 9(3), review no. R129 (T.D. Wilson): "The first edition of this book was published ten years ago and rapidly become something of a classic in the field of information seeking behaviour. It is good to see the second edition which incorporates not only the work the author has done since 1993, but also related work by other researchers. Kuhlthau is one of the most cited authors in the field and her model of the information search process, involving stages in the search and associated feelings, has been used by others in a variety of contexts. However, what makes this book different (as was the case with the first edition) is the author's dedication to the field of practice and the book's sub-title demonstrates her commitment to the transfer of research. In Kuhlthau's case this is the practice of the school library media specialist, but her research has covered students of various ages as well as a wide range of occupational groups. Because the information search model is so well known, I shall concentrate in this review on the relationship between the research findings and practice. It is necessary, however, to begin with the search process model, because this is central. Briefly, the model proposes that the searcher goes through the stages of initiation, selection, exploration, formulation, collection and presentation, and, at each stage, experiences various feelings ranging from optimism and satisfaction to confusion and disappointment. Personally, I occasionally suffer despair, but perhaps that is too extreme for most!
It is important to understand the origins of Kuhlthau's ideas in the work of the educational theorists, Dewey, Kelly and Bruner. Putting the matter in a rather simplistic manner, Dewey identified stages of cognition, Kelly attached the idea of feelings being associated with cognitive stages, and Bruner added the notion of actions associated with both. We can see this framework underlying Kuhlthau's research in her description of the actions undertaken at different stages in the search process and the associated feelings. Central to the transfer of these ideas to practice is the notion of the 'Zone of Intervention' or the point at which an information seeker can proceed more effectively with assistance than without. Kuhlthau identifies five intervention zones, the first of which involves intervention by the information seeker him/herself. The remaining four involve interventions of different kinds, which the author distinguishes according to the level of mediation required: zone 2 involves the librarian as 'locater', i.e., providing the quick reference response; zone 3, as 'identifier', i.e., discovering potentially useful information resources, but taking no further interest in the user; zone 4 as 'advisor', i.e., not only identifying possibly helpful resources, but guiding the user through them, and zone 5 as 'counsellor', which might be seen as a more intensive version of the advisor, guiding not simply on the sources, but also on the overall process, through a continuing interaction with the user. Clearly, these processes can be used in workshops, conference presentations and the classroom to sensitise the practioner and the student to the range of helping strategies that ought to be made available to the information seeker. However, the author goes further, identifying a further set of strategies for intervening in the search process, which she describes as 'collaborating', 'continuing', 'choosing', 'charting', 'conversing' and 'composing'. 'Collaboration' clearly involves the participation of others - fellow students, work peers, fellow researchers, or whatever, in the search process; 'continuing' intervention is associated with information seeking that involves a succession of actions - the intermediary 'stays with' the searcher throughout the process, available as needed to support him/her; 'choosing', that is, enabling the information seeker to identify the available choices in any given situation; 'charting' involves presenting a graphic illustration of the overall process and locating the information seeker in that chart; 'conversing' is the encouragement of discussion about the problem(s), and 'composing' involves the librarian as counsellor in encouraging the information seeker to document his/her experience, perhaps by keeping a diary of the process.
Together with the zones of intervention, these ideas, and others set out in the book, provide a very powerful didactic mechanism for improving library and information service delivery. Of course, other things are necessary - the motivation to work in this way, and the availability resources to enable its accomplishment. Sadly, at least in the UK, many libraries today are too financially pressed to do much more than the minimum helpful intervention in the information seeking process. However, that should not serve as a stick with which to beat the author: not only has she performed work of genuine significance in the field of human information behaviour, she has demonstrated beyond question that the ideas that have emerged from her research have the capability to help to deliver more effective services." Auch unter: http://informationr.net/ir/reviews/revs129.html

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Abstract

"Buckland provides the forst straightforward text that deals with defining the terms, the systems, and some of the fundamental issues in an intelligent, comprehensive, non-technical manner ... a valuable library school text"

Footnote

Rez. in: Wilson library bulletin ???; Journal of academic librarianship. 18(1992) no.1, S.39-40 (M.M. Benson); Public library quarterly. 14(1994 nos.2/3, S.94-95 (L. Bixler); IASLIC bulletin. 39(1994) no.4, S.187-189 (S.K. Sen)

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Abstract

Let us start with a simple scenario: a man asks a woman "how high is Mount Everest?" The woman replies "29,029 feet." Nothing could be simpler. Now let us suppose that rather than standing in a room, or sitting on a bus, the man is at his desk and the woman is 300 miles away with the conversation taking place using e-mail. Still simple? Certainly--it happens every day. So why all the bother about digital (virtual, electronic, chat, etc.) reference? If the man is a pilot flying over Mount Everest, the answer matters. If you are a lawyer going to court, the identity of the woman is very important. Also, if you ever want to find the answer again, how that transaction took place matters a lot. Digital reference is a deceptively simple concept on its face: "the incorporation of human expertise into the information system." This lecture seeks to explore the question of how human expertise is incorporated into a variety of information systems, from libraries, to digital libraries, to information retrieval engines, to knowledge bases. What we learn through this endeavor, begun primarily in the library context, is that the models, methods, standards, and experiments in digital reference have wide applicability. We also catch a glimpse of an unfolding future in which ubiquitous computing makes the identification, interaction, and capture of expertise increasingly important. It is a future that is much more complex than we had anticipated. It is a future in which documents and artifacts are less important than the contexts of their creation and use.

Content

Table of Contents: Defining Reference in a Digital Age / Conversations / Digital Reference in Practice / Digital Reference an a New Future / Conclusion

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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.

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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.

Footnote

Rez. in: JASIST 63(2013) no.1, S.213-214 (D.E. Agosto)

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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.].

Footnote

Rez. in: JASIST 61(2010) no.12, S.2587-2588 (Gobinda Chowdhury)

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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.

Series

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

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Footnote

Rez. in: Journal of documentation 54(1998) no.1, S.131-132 (M.D. Dunlop)

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Footnote

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

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Footnote

Rez. in: Australian library journal 49(2000) no.1, S.76-77 (R.Cullen)

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Footnote

Rez. in: Journal of academic librarianship 18(1993) no.6, S.389; Library resources and technical services 37(1993) S.451-453 (E. Crosby); Library review 42(1993) no.5, S.74-75 (D. Anderson)

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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.
Vert, S.: Extensions of Web browsers useful to knowledge workers. Chen, L.-C.: Next generation search engine for the result clustering technology. Biskri, I., L. Rompré: Using association rules for query reformulation. Habernal, I., M. Konopík u. O. Rohlík: Question answering. Grau, B.: Finding answers to questions, in text collections or Web, in open domain or specialty domains. Berri, J., R. Benlamri: Context-aware mobile search engine. Bouidghaghen, O., L. Tamine: Spatio-temporal based personalization for mobile search. Chaudiron, S., M. Ihadjadene: Studying Web search engines from a user perspective: key concepts and main approaches. Karaman, F.: Artificial intelligence enabled search engines (AIESE) and the implications. Lewandowski, D.: A framework for evaluating the retrieval effectiveness of search engines.

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Footnote

Rez. in: Library review 42(1993) no.5, S.72-74 (B. Duckett)

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Abstract

This is a practical tool and comprehensive introduction to the use of controlled vocabularies. This authoritative and detailed volume presents readers with a 'how-to' guide to building controlled vocabulary tools, cataloguing and indexing cultural materials with terms and names from controlled vocabularies, and how to use vocabularies in search engines and databases to enhance discovery and retrieval online. "Introduction to Controlled Vocabularies" also features in-depth discussions on a number of topics, including: What are controlled vocabularies and why are they useful? Which vocabularies exist for cataloguing art and cultural objects? and how should they be used for indexing and retrieving? This book provides organizations and individuals with a practical tool for creating and implementing vocabularies as reference tools, sources of documentation, and powerful enhancements for online searching.

Content

Controlled vocabularies in context -- What are controlled vocabularies? -- Relationships in controlled vocabularies -- Vocabularies for cultural objects -- Using multiple vocabularies -- Local authorities -- Constructing a vocabulary or authority -- Indexing with controlled vocabularies -- Retrieval using controlled vocabularies.

Footnote

Rez. in: Cataloging and classification quarterly. 48(2010) no.8, S.757-760 (Elizabeth Knazook).

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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

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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)

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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.