Search (8 results, page 1 of 1)

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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.].

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Date

23. 3.2008 19:10:22

Footnote

In 13 chapters, Part Two provides an introduction to KDD, an overview of data mining techniques, and examples of the usefulness of data model visualizations. The importance of visualization throughout the KDD process is stressed in many of the chapters. In particular, the need for measures of visualization effectiveness, benchmarking for identifying best practices, and the use of standardized sample data sets is convincingly presented. Many of the important data mining approaches are discussed in this complementary context. Cluster and outlier detection, classification techniques, and rule discovery algorithms are presented as the basic techniques common to the KDD process. The potential effectiveness of using visualization in the data modeling process are illustrated in chapters focused an using visualization for helping users understand the KDD process, ask questions and form hypotheses about their data, and evaluate the accuracy and veracity of their results. The 11 chapters of Part Three provide an overview of the KDD process and successful approaches to integrating KDD, data mining, and visualization in complementary domains. Rhodes (Chapter 21) begins this section with an excellent overview of the relation between the KDD process and data mining techniques. He states that the "primary goals of data mining are to describe the existing data and to predict the behavior or characteristics of future data of the same type" (p. 281). These goals are met by data mining tasks such as classification, regression, clustering, summarization, dependency modeling, and change or deviation detection. Subsequent chapters demonstrate how visualization can aid users in the interactive process of knowledge discovery by graphically representing the results from these iterative tasks. Finally, examples of the usefulness of integrating visualization and data mining tools in the domain of business, imagery and text mining, and massive data sets are provided. This text concludes with a thorough and useful 17-page index and lengthy yet integrating 17-page summary of the academic and industrial backgrounds of the contributing authors. A 16-page set of color inserts provide a better representation of the visualizations discussed, and a URL provided suggests that readers may view all the book's figures in color on-line, although as of this submission date it only provides access to a summary of the book and its contents. The overall contribution of this work is its focus an bridging two distinct areas of research, making it a valuable addition to the Morgan Kaufmann Series in Database Management Systems. The editors of this text have met their main goal of providing the first textbook integrating knowledge discovery, data mining, and visualization. Although it contributes greatly to our under- standing of the development and current state of the field, a major weakness of this text is that there is no concluding chapter to discuss the contributions of the sum of these contributed papers or give direction to possible future areas of research. "Integration of expertise between two different disciplines is a difficult process of communication and reeducation. Integrating data mining and visualization is particularly complex because each of these fields in itself must draw an a wide range of research experience" (p. 300). Although this work contributes to the crossdisciplinary communication needed to advance visualization in KDD, a more formal call for an interdisciplinary research agenda in a concluding chapter would have provided a more satisfying conclusion to a very good introductory text.

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Abstract

An ontology is a description (like a formal specification of a program) of concepts and relationships that can exist for an agent or a community of agents. The concept is important for the purpose of enabling knowledge sharing and reuse. The Handbook on Ontologies provides a comprehensive overview of the current status and future prospectives of the field of ontologies. The handbook demonstrates standards that have been created recently, it surveys methods that have been developed and it shows how to bring both into practice of ontology infrastructures and applications that are the best of their kind.

Series

International handbook on information systems

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COMPASS

Information retrieval / Use of / On-line computers

Subject

Information retrieval / Use of / On-line computers

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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.

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Abstract

With the current changes driven by the expansion of the World Wide Web, this book uses a different approach from other books on the market: it applies ontologies to electronically available information to improve the quality of knowledge management in large and distributed organizations. Ontologies are formal theories supporting knowledge sharing and reuse. They can be used to explicitly represent semantics of semi-structured information. These enable sophisticated automatic support for acquiring, maintaining and accessing information. Methodology and tools are developed for intelligent access to large volumes of semi-structured and textual information sources in intra- and extra-, and internet-based environments to employ the full power of ontologies in supporting knowledge management from the information client perspective and the information provider. The aim of the book is to support efficient and effective knowledge management and focuses on weakly-structured online information sources. It is aimed primarily at researchers in the area of knowledge management and information retrieval and will also be a useful reference for students in computer science at the postgraduate level and for business managers who are aiming to increase the corporations' information infrastructure. The Semantic Web is a very important initiative affecting the future of the WWW that is currently generating huge interest. The book covers several highly significant contributions to the semantic web research effort, including a new language for defining ontologies, several novel software tools and a coherent methodology for the application of the tools for business advantage. It also provides 3 case studies which give examples of the real benefits to be derived from the adoption of semantic-web based ontologies in "real world" situations. As such, the book is an excellent mixture of theory, tools and applications in an important area of WWW research. * Provides guidelines for introducing knowledge management concepts and tools into enterprises, to help knowledge providers present their knowledge efficiently and effectively. * Introduces an intelligent search tool that supports users in accessing information and a tool environment for maintenance, conversion and acquisition of information sources. * Discusses three large case studies which will help to develop the technology according to the actual needs of large and or virtual organisations and will provide a testbed for evaluating tools and methods. The book is aimed at people with at least a good understanding of existing WWW technology and some level of technical understanding of the underpinning technologies (XML/RDF). It will be of interest to graduate students, academic and industrial researchers in the field, and the many industrial personnel who are tracking WWW technology developments in order to understand the business implications. It could also be used to support undergraduate courses in the area but is not itself an introductory text.

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Abstract

Information or Document Retrieval is the subject of this book. It is not an introductory book, although it is self-contained in the sense that it is not necessary to have a background in the theory or practice of Information Retrieval in order to understand its arguments. The book presents, as clearly as possible, one particular perspective on Information Retrieval, and attempts to say that certain aspects of the theory or practice of the management of documents are more important than others. The majority of Information Retrieval research has been aimed at the more experimentally tractable small-scale systems, and although much of that work has added greatly to our understanding of Information Retrieval it is becoming increasingly apparent that retrieval systems with large data bases of documents are a fundamentally different genre of systems than small-scale systems. If this is so, which is the thesis of this book, then we must now study large information retrieval systems with the same rigor and intensity that we once studied small-scale systems. Hegel observed that the quantitative growth of any system caused qualitative changes to take place in its structure and processes.