Search (21 results, page 1 of 2)

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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.

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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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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.

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LCSH

World Wide Web (Information retrieval system)

Subject

World Wide Web (Information retrieval system)

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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.

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Abstract

"Ingwersen defines IR interaction as the interactive communication processes that occur between the use, the intermediary (machine or human) and the IR system (text or database). The cognitive viewpoint takes into account the variety of states of knowledge associated with these major participants and thus allows a holistic treatment."

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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.

RSWK

Information-Retrieval-System

Subject

Information-Retrieval-System

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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.

RSWK

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

Subject

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

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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.

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Abstract

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.

Content

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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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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Content

Inhalt: The importance of information need -- The history of information need -- The framework for our discussion -- Modeling the user in information search -- Information seeking's conceptualization of information need during information search -- Information use -- Adaptation : internal information flows and knowledge generation -- A theory of information need -- How information need works -- The user's situation in the pre-focus search -- The situation of user's information need in pre-focus information search -- The selection concept -- A review of the user's pre-focus information search -- How information need works in a focusing search -- Circles 1 to 5 : how information need works -- Corroborating research -- Applying information need -- The astrolabe : an information system for stage 3 information exploration -- Conclusion.

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Footnote

The didactic parts of the book are a collection of exercises, readings and resources constituting a "Teach yourself " chapter written by Alan Thomas, ending with the warning that "New challenges include how to devise multi-functional and usersensitive vocabularies, corporate taxonomies and ontologies, and how to apply the transformative technology to them." This is absolutely right, and there is a need for some good writing that would tackle these issues. Another chapter, by James Shearer, skilfully manages to compress a practical exercise in building a thesaurus into some twenty A5 size pages. The third chapter in this set, by Marianne Lykke Nielsen, contains extensive reviews of key issues and selected readings under eight headings from the concept of the thesaurus, through the various construction stages and ending with automatic construction techniques. . . . This is a useful and approachable book. It is a pity that the index is such a poor advertisement for vocabulary control and usefulness."

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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.

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Footnote

Im dritten Kapitel, Linguistics, Terminology, and Natural Language Processing, werden Anwendungen der Sprachtechnologie auf die Informationsrecherche und -verteilung über Sprachgrenzen hinweg, die Auswirkungen unterschiedlicher Sprachvarianten auf lexikalische Wissensmuster sowie ein "gateway" für fachübergreifende Wissensbanken, das auf einem Vokabular von Allgemeinbegriffen aus neun verschiedenen MetadatenSchemata beruht, behandelt. Der letzte Abschnitt trägt den etwas rätselhaften Titel Knowledge in the World and the World of Knowledge und enthält so heterogene Beiträge wie den Entwurf eines axiomatischen Systems für die semantische Integration von Ontologien, einen Vergleich der einflussreichen Knowledge-Management-Ansätze von Nonaka & Takeuchi (Japan) und Davenport & Prusak (USA) sowie einen Vergleich der Repräsentation amerikanischer und internationaler agrarökonomischer Themen in LCC (Library of Congress Classification) und NAICS (North American Industrial Classification System). Die eingangs erwähnten Lobeshymnen sind meiner Meinung nach ein wenig übertrieben. Das Buch ist nicht mehr und nicht weniger als ein recht typischer Sammelband mit wissenschaftlichen Artikeln von unterschiedlicher Qualität. Einige davon sind in verständlicher Sprache verfasst (wie etwa der kurze Beitrag über allgemeine vs. spezifische Klassifikationssysteme von J.-E. Mai), andere sind für normale Bibliothekare bzw. Informationswissenschaftler praktisch unlesbar (wie jener über Ontologien von R. E. Kent, der mehr als nur oberflächliche Kenntnisse der formalen Logik voraussetzt). Einige Artikel fand ich recht interessant, andere eher etwas langatmig. Die meisten Beiträge werden vermutlich eher bei wissenschaftlichen Vertretern unserer Disziplin auf Interesse stossen als bei Praktikern. Dass das Buch überein brauchbares Register verfügt, sei positiv vermerkt, zumal derlei heute nicht mehrselbstverständlich ist. Zur Anschaffung empfehlen würde ich diesen Band nicht nur Bibliotheken mit Spezialisierung auf Bibliotheks- und Informationswissenschaft, sondern auch allen grossen wissenschaftlichen Bibliotheken."

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Date

26. 7.2002 20:22:46

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Date

22. 4.2007 10:07:51

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Date

23. 7.2017 13:49:22

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Footnote

In Kapitel acht werden unterschiedliche Arten von IR-Systemen vorgestellt. Dies sind Online IR-Systeme, CD-ROM-Systeme, OPACs und Internet IR-Systeme, denen der Grossteil dieses Kapitels gewidmet ist. Zu jeder Art von System werden die historische Entwicklung und die Besonderheiten genannt. Bei den Internet-IR-Systemen wird ausführlich auf die besonderen Probleme, die bei diesen im Vergleich zu klassischen IR-Systemen auftauchen, eingegangen. Ein extra Kapitel behandelt die Besonderheiten des Retrievals bei besonderen Dokumentkollektionen und besonderen Formaten. Hier finden sich Informationen zum multilingualen Retrieval und zur Suche nach Multimedia-Inhalten, wobei besonders auf die Unterscheidung zwischen beschreibungs- und inhaltsbasiertem Ansatz der Erschließung solcher Inhalte eingegangen wird. In Kapitel zehn erfährt der Leser mehr über die Stellung des Nutzers in IRR-Prozessen. Die Autorin stellt verschiedene Arten von Suchinterfaces bzw. Benutzeroberflächen und Ansätze der Evaluation der Mensch-Maschine-Interaktion in solchen Systemen vor. Kapitel elf beschäftigt sich ausführlich mit der Evaluierung von IRR-Systemen und stellt die bedeutendsten Test (Cranfield und TREC) vor Ein kurzes abschließendes Kapitel behandelt Ansätze der künstlichen Intelligenz und ihre Anwendung bei IRR-Systemen. Der Aufbau, die knappe, aber dennoch präzise Behandlung des Themas sowie die verständliche Sprache machen dieses Buch zu eine sehr guten Einführung für Studenten in den ersten Semestern, die der englischen Sprache mächtig sind. Besonders positiv hervorzuheben ist die Behandlung auch der aktuellen Themen des IRR wie der Einsatz von Metadaten, die Behandlung von Multimedia-Informationen und der Schwerpunk bei den Internet-IR-Systemen.

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Date

29. 8.2011 12:21:48