Search (10 results, page 1 of 1)

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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.

LCSH

Information storage and retrieval systems / Design.

Subject

Information storage and retrieval systems / Design.

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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.

LCSH

Information storage and retrieval systems / Design

Subject

Information storage and retrieval systems / Design

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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.].

LCSH

Information storage and retrieval systems

Subject

Information storage and retrieval systems

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LCSH

Multimedia systems

Subject

Multimedia systems

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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.

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Footnote

Rez. in Mitteilungen VÖB 57(2004) H.3/4, S.83-84 (O. Oberhauser): "Der Klappentext zu diesem Buch, das gleichzeitig als Cataloging & Classification Quarterly, Jg. 37, Nr. 1/2, veröffentlicht wurde, weiss mit eindrucksvollen Lobpreisungen bekannter anglo-amerikanischer Professoren aufzuwarten. Das Werk ist ein Sammelband mit 14 Artikeln von Autoren aus sechs Ländern, unter denen Kanada mit sechs Beiträgen klar dominiert (was nicht weiter überraschend ist, da die Herausgeberinnen von dort stammen). Das deklarierte Ziel des Bandes ist die Behandlung von Themen, die im Zusammenhang mit Information und Wissen in einem internationalisierten Kontext von Relevanz sind. Dies wird in vier thematisch gegliederten Abschnitten versucht. Das erste dieser Kapitel, General Bibliographic Systems, enthält vier Aufsätze, deren erster die Rolle allgemeiner und spezialisierter Klassifikationssysteme unter den Auspizien von Interoperabilität und weltweitem Zugriff reflektiert. Die anderen behandeln eine Adaptierung der DDC für die Verwendung bei der Erschliessung feministischer Literatur, die Probleme bei der Übersetzung von Klassifikationen von einer Sprache/Kultur in eine andere sowie den multilingualen Zugriff auf Dokumente in bibliographischen Datenbanken durch mehrsprachige, mit UDK-Zahlen verknüpfte Deskriptoren. Die zweite Sektion (ebenfalls vier Artikel) ist mit Information Organization in Knowledge Resources betitelt. Ihre konkreten Themen sind a) die Schwächen bibliothekarischer sachlicher Suchsysteme im internationalen Web-Kontext, b) die Recherche erziehungswissenschaftlicher Web-Ressourcen mittels "subject trees" bzw. in virtuellen Bibliotheken, c) Techniken für Text- und Data-Mining im Rahmen von Wissensorganisation und -ermittlung sowie d) Ansätze für die Wissensermittlung in nicht-bibliographischen Datenbanken.
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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Content

Enthält u.a. folgende Aussage von J. Aitchison u. S. Dextre Clarke: "We face a paradox. Ostensibly, the need and the opportunity to apply thesauri to information retrieval are greater than ever before. On the other hand, users resist most efforts to persuade them to apply one. The drive for interoperability of systems means we must design our vocabularies for easy integration into downstream applications such as content management systems, indexing/metatagging interfaces, search engines, and portals. Summarizing the search for vocabularies that work more intuitively, we see that there are trends working in opposite directions. In the hugely popular taxonomies an the one hand, relationships between terms are more loosely defined than in thesauri. In the ontologies that will support computer-to-computer communications in AI applications such as the Semantic Web, we see the need for much more precisely defined term relationships."

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LCSH

Information storage and retrieval systems

Subject

Information storage and retrieval systems

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Abstract

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

Footnote

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.

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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.