Search (15 results, page 1 of 1)

  • × subject_ss:"Information retrieval"
  1. Shiri, A.: Powering search : the role of thesauri in new information environments (2012) 0.04
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    Abstract
    Powering search offers a clear and comprehensive treatment of the role of thesauri in search user interfaces across a range of information search and retrieval systems - from bibliographic and full-text databases to digital libraries, portals, open archives, and content management systems.
    LCSH
    Subject access
    Subject
    Subject access
  2. Gödert, W.; Hubrich, J.; Nagelschmidt, M.: Semantic knowledge representation for information retrieval (2014) 0.02
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    Date
    23. 7.2017 13:49:22
    LCSH
    World Wide Web / Subject access
    Subject
    World Wide Web / Subject access
  3. Next generation search engines : advanced models for information retrieval (2012) 0.02
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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.
    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.
  4. Croft, W.B.; Metzler, D.; Strohman, T.: Search engines : information retrieval in practice (2010) 0.02
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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
  5. Introducing information management : an information research reader (2005) 0.01
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    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.
  6. Anderson, J.D.; Perez-Carballo, J.: Information retrieval design : principles and options for information description, organization, display, and access in information retrieval databases, digital libraries, catalogs, and indexes (2005) 0.01
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    Content
    Inhalt: Chapters 2 to 5: Scopes, Domains, and Display Media (pp. 47-102) Chapters 6 to 8: Documents, Analysis, and Indexing (pp. 103-176) Chapters 9 to 10: Exhaustivity and Specificity (pp. 177-196) Chapters 11 to 13: Displayed/Nondisplayed Indexes, Syntax, and Vocabulary Management (pp. 197-364) Chapters 14 to 16: Surrogation, Locators, and Surrogate Displays (pp. 365-390) Chapters 17 and 18: Arrangement and Size of Displayed Indexes (pp. 391-446) Chapters 19 to 21: Search Interface, Record Format, and Full-Text Display (pp. 447-536) Chapter 22: Implementation and Evaluation (pp. 537-541)
    Footnote
    Rez. in JASIST 57(2006) no.10, S.1412-1413 (R. W. White): "Information Retrieval Design is a textbook that aims to foster the intelligent user-centered design of databases for Information Retrieval (IR). The book outlines a comprehensive set of 20 factors. chosen based on prior research and the authors' experiences. that need to he considered during the design process. The authors provide designers with information on those factors to help optimize decision making. The book does not cover user-needs assessment, implementation of IR databases, or retries al systems, testing. or evaluation. Most textbooks in IR do not offer a substantive walkthrough of the design factors that need to be considered Mien des eloping IR databases. Instead. they focus on issues such as the implementation of data structures, the explanation of search algorithms, and the role of human-machine interaction in the search process. The book touches on all three, but its focus is on designing databases that can be searched effectively. not the tools to search them. This is an important distinction: despite its title. this book does not describe how to build retrieval systems. Professor Anderson utilizes his wealth of experience in cataloging and classification to bring a unique perspective on IR database design that may be useful for novices. for developers seeking to make sense of the design process, and for students as a text to supplement classroom tuition. The foreword and preface. by Jessica Milstead and James Anderson. respectively, are engaging and worthwhile reading. It is astounding that it has taken some 20 years for anyone to continue the stork of Milstead and write as extensively as Anderson does about such an important issue as IR database design. The remainder of the book is divided into two parts: Introduction and Background Issues and Design Decisions. Part 1 is a reasonable introduction and includes a glossary of the terminology that authors use in the book. It is very helpful to have these definitions early on. but the subject descriptors in the right margin are distracting and do not serve their purpose as access points to the text. The terminology is useful to have. as the authors definitions of concepts do not lit exactly with what is traditionally accepted in IR. For example. they use the term 'message' to icier to what would normally be called .'document" or "information object." and do not do a good job at distinguishing between "messages" and "documentary units". Part 2 describes components and attributes of 1R databases to help designers make design choices. The book provides them with information about the potential ramifications of their decisions and advocates a user-oriented approach to making them. Chapters are arranged in a seemingly sensible order based around these factors. and the authors remind us of the importance of integrating them. The authors are skilled at selecting the important factors in the development of seemingly complex entities, such as IR databases: how es er. the integration of these factors. or the interaction between them. is not handled as well as perhaps should be. Factors are presented in the order in which the authors feel then should be addressed. but there is no chapter describing how the factors interact. The authors miss an opportunity at the beginning of Part 2 where they could illustrate using a figure the interactions between the 20 factors they list in a way that is not possible with the linear structure of the book.
  7. Aluri, R.D.; Kemp, A.; Boll, J.J.: Subject analysis in online catalogs (1991) 0.01
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    Footnote
    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
    LCSH
    Catalogs, On / line / Subject access
    Subject
    Catalogs, On / line / Subject access
  8. Lalmas, M.: XML retrieval (2009) 0.01
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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.
  9. Ellis, D.: Progress and problems in information retrieval (1996) 0.01
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    Date
    26. 7.2002 20:22:46
  10. Lancaster, F.W.: Vocabulary control for information retrieval (1986) 0.01
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    Date
    22. 4.2007 10:07:51
  11. Interactive information seeking, behaviour and retrieval (2011) 0.01
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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
  12. Social information retrieval systems : emerging technologies and applications for searching the Web effectively (2008) 0.00
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    LCSH
    World Wide Web / Subject access
    Subject
    World Wide Web / Subject access
  13. O'Connor, B.C.; Kearns, J.; Anderson, R.L.: Doing things with information : beyond indexing and abstracting (2008) 0.00
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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.
  14. Pang, B.; Lee, L.: Opinion mining and sentiment analysis (2008) 0.00
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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.
  15. ¬The thesaurus: review, renaissance and revision (2004) 0.00
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    Content
    Enthält die Beiträge: Spiteri, L.F.: Word association testing and thesaurus construction: a pilot study. Aitchison, J., S.G. Dextre-Clarke: The Thesaurus: a historical viewpoint, with a look to the future. Thomas, A.R.: Teach yourself thesaurus: exercises, reading, resources. Shearer, J.R.: A practical exercise in building a thesaurus. Nielsen, M.L.: Thesaurus construction: key issues and selected readings. Riesland, M.A.: Tools of the trade: vocabulary management software. Will, L.: Thesaurus consultancy. Owens, L.A., P.A. Cochrane: Thesaurus evaluation. Greenberg, J.: User comprehension and application of information retrieval thesauri. Johnson, E.H.: Distributed thesaurus Web services. Thomas, A.R., S.K. Roe: An interview with Dr. Amy J. Warner. Landry, P.: Multilingual subject access: the linking approach of MACS.

Years

Types

  • m 15
  • s 4

Subjects