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Chu, H.: Information representation and retrieval in the digital age (2010)
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- Content
- Information representation and retrieval : an overview -- Information representation I : basic approaches -- Information representation II : related topics -- Language in information representation and retrieval -- Retrieval techniques and query representation -- Retrieval approaches -- Information retrieval models -- Information retrieval systems -- Retrieval of information unique in content or format -- The user dimension in information representation and retrieval -- Evaluation of information representation and retrieval -- Artificial intelligence in information representation and retrieval.
- LCSH
- Information retrieval
Information storage and retrieval systems
- Subject
- Information retrieval
Information storage and retrieval systems
-
Golub, K.: Subject access to information : an interdisciplinary approach (2015)
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- Abstract
- Drawing on the research of experts from the fields of computing and library science, this ground-breaking work will show you how to combine two very different approaches to classification to create more effective, user-friendly information-retrieval systems. * Provides an interdisciplinary overview of current and potential approaches to organizing information by subject * Covers both pure computer science and pure library science topics in easy-to-understand language accessible to audiences from both disciplines * Reviews technological standards for representation, storage, and retrieval of varied knowledge-organization systems and their constituent elements * Suggests a collaborative approach that will reduce duplicate efforts and make it easier to find solutions to practical problems.
- Content
- Organizing information by subjectKnowledge organization systems (KOSs) -- Technological standards -- Automated tools for subject information organization : selected topics -- Perspectives for the future.
- LCSH
- Information storage and retrieval systems
- Subject
- Information storage and retrieval systems
-
Suman, A.: From knowledge abstraction to management : using Ranganathan's faceted schema to develop conceptual frameworks for digital libraries (2014)
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- Abstract
- The increasing volume of information in the contemporary world entails demand for efficient knowledge management (KM) systems; a logical method of information organization that will allow proper semantic querying to identify things that match meaning in natural language. On this concept, the role of an information manager goes beyond implementing a search and clustering system, to the ability to map and logically present the subject domain and related cross domains. From Knowledge Abstraction to Management answers this need by analysing ontology tools and techniques, helping the reader develop
- LCSH
- Information storage and retrieval systems
- Subject
- Information storage and retrieval systems
-
Baofu, P.: ¬The future of information architecture : conceiving a better way to understand taxonomy, network, and intelligence (2008)
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- LCSH
- Information storage and retrieval systems
- RSWK
- Suchmaschine / Information Retrieval
- Subject
- Information storage and retrieval systems
Suchmaschine / Information Retrieval
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Chu, H.: Information representation and retrieval in the digital age (2010)
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- Content
- Information representation and retrieval : an overview -- Information representation I : basic approaches -- Information representation II : related topics -- Language in information representation and retrieval -- Retrieval techniques and query representation -- Retrieval approaches -- Information retrieval models -- Information retrieval systems -- Retrieval of information unique in content or format -- The user dimension in information representation and retrieval -- Evaluation of information representation and retrieval -- Artificial intelligence in information representation and retrieval.
- Footnote
- Rez. in: JASIST 56(2005) no.2, S.215-216 (A. Heath): "What is small, thoroughly organized, and easy to understand? Well, it's Heting Chu's latest book an information retrieval. A very welcome release, this small literary addition to the field (only 248 pages) contains a concise and weIl-organized discussion of every major topic in information retrieval. The often-complex field of information retrieval is presented from its origin in the early 1950s to the present day. The organization of this text is top-notch, thus making this an easy read for even the novice. Unlike other titles in this area, Chu's user-friendly style of writing is done an purpose to properly introduce newcomers to the field in a less intimidating way. As stated by the author in the Preface, the purpose of the book is to "present a systematic, thorough yet nontechnical view of the field by using plain language to explain complex subjects." Chu has definitely struck up the right combination of ingredients. In a field so broad and complex, a well-organized presentation of topics that don't trip an themselves is essential. The use of plain language where possible is also a good choice for this topic because it allows one to absorb topics that are, by nature, not as easy to grasp. For instance, Chapters 6 and 7, which cover retrieval approaches and techniques, an often painstaking topic for many students and teachers is deftly handled with the use of tables that can be used to compare and contrast the various models discussed. I particularly loved Chu's use of Koll's 2000 article from the Bulletin of the American Society for Information Science to explain subject searching at the beginning of Chapter 6, which discusses the differences between browsing and searching. The Koll article uses the task of finding a needle in a haystack as an analogy.
Chu's intent with this book is clear throughout the entire text. With this presentation, she writes with the novice in mind or as she puls it in the Preface, "to anyone who is interested in learning about the field, particularly those who are new to it." After reading the text, I found that this book is also an appropriate reference book for those who are somewhat advanced in the field. I found the chapters an information retrieval models and techniques, metadata, and AI very informative in that they contain information that is often rather densely presented in other texts. Although, I must say, the metadata section in Chapter 3 is pretty basic and contains more questions about the area than information. . . . It is an excellent book to have in the classroom, an your bookshelf, etc. It reads very well and is written with the reader in mind. If you are in need of a more advanced or technical text an the subject, this is not the book for you. But, if you are looking for a comprehensive, manual that can be used as a "flip-through," then you are in luck."
Weitere Rez. in: Rez. in: nfd 55(2004) H.4, S.252 (D. Lewandowski):"Die Zahl der Bücher zum Thema Information Retrieval ist nicht gering, auch in deutscher Sprache liegen einige Titel vor. Trotzdem soll ein neues (englischsprachiges) Buch zu diesem Thema hier besprochen werden. Dieses zeichnet sich durch eine Kürze (nur etwa 230 Seiten Text) und seine gute Verständlichkeit aus und richtet sich damit bevorzugt an Studenten in den ersten Semestern. Heting Chu unterrichtet seit 1994 an Palmer School of Library and Information Science der Long Island University New York. Dass die Autorin viel Erfahrung in der Vermittlung des Stoffs in ihren Information-Retrieval-Veranstaltungen sammeln konnte, merkt man dem Buch deutlich an. Es ist einer klaren und verständlichen Sprache geschrieben und führt in die Grundlagen der Wissensrepräsentation und des Information Retrieval ein. Das Lehrbuch behandelt diese Themen als Gesamtkomplex und geht damit über den Themenbereich ähnlicher Bücher hinaus, die sich in der Regel auf das Retrieval beschränken. Das Buch ist in zwölf Kapitel gegliedert, wobei das erste Kapitel eine Übersicht über die zu behandelnden Themen gibt und den Leser auf einfache Weise in die Grundbegriffe und die Geschichte des IRR einführt. Neben einer kurzen chronologischen Darstellung der Entwicklung der IRR-Systeme werden auch vier Pioniere des Gebiets gewürdigt: Mortimer Taube, Hans Peter Luhn, Calvin N. Mooers und Gerard Salton. Dies verleiht dem von Studenten doch manchmal als trocken empfundenen Stoff eine menschliche Dimension. Das zweite und dritte Kapitel widmen sich der Wissensrepräsentation, wobei zuerst die grundlegenden Ansätze wie Indexierung, Klassifikation und Abstracting besprochen werden. Darauf folgt die Behandlung von Wissensrepräsentation mittels Metadaten, wobei v.a. neuere Ansätze wie Dublin Core und RDF behandelt werden. Weitere Unterkapitel widmen sich der Repräsentation von Volltexten und von Multimedia-Informationen. Die Stellung der Sprache im IRR wird in einem eigenen Kapitel behandelt. Dabei werden in knapper Form verschiedene Formen des kontrollierten Vokabulars und die wesentlichen Unterscheidungsmerkmale zur natürlichen Sprache erläutert. Die Eignung der beiden Repräsentationsmöglichkeiten für unterschiedliche IRR-Zwecke wird unter verschiedenen Aspekten diskutiert.
Die Kapitel fünf bis neun widmen sich dann ausführlich dem Information Retrieval. Zuerst werden grundlegende Retrievaltechniken vorgestellt und ihre Vor- und Nachteile dargestellt. Aus der Sicht des Nutzers von IR-Systemen wird der Prozess des Bildens einer Suchanfrage diskutiert und die damit verbundenen Probleme aufgezeigt. Im sechsten Kapitel werden die Retrieval-Ansätze Suchen und Browsen gegenübergestellt, entsprechende Suchstrategien aufgezeigt und schließlich Ansätze diskutiert, die suchen und browsen zu integrieren versuchen. Das siebte Kapitel beschäftigt sich dann mit dem, was den Kern der meisten IRBücher ausmacht: den IR-Modellen. Diese werden kurz vorgestellt, auf Formeln wird weitgehend verzichtet. Dies ist jedoch durchaus als Vorteil zu sehen, denn gerade Studienanfängern bereitet das Verständnis der IR-Modelle aufgrund deren Komplexität oft Schwierigkeiten. Nach der Lektüre dieses Kapitels wird man zwar nicht im Detail über die verschiedenen Modelle Bescheid wissen, wird sie jedoch kennen und einordnen können.
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.
Leider gibt es in deutscher Sprache keinen vergleichbaren Titel. Das Information-Retrieval-Buch von Ferber (2003) ist eher mathematisch orientiert und dürfte Studienanfänger der Informationswissenschaft durch seine große Detailliertheit und der damit einhergehenden großen Anzahl von Formeln eher abschrecken. Es ist eher denjenigen empfohlen, die sich intensiver mit dem Thema beschäftigen möchten. Ähnlich verhält es sich mit dem von manchen gerne genutzten Skript von Fuhr. Das Buch von Gaus (2003) ist mittlerweile schon ein Klassiker, beschäftigt sich aber im wesentlichen mit der Wissensrepräsentation und bietet zudem wenig Aktuelles. So fehlen etwa die Themen Information Retrieval im Internet und Multimedia-Retrieval komplett. Auch die Materialsammlung von Poetzsch (2002) konzentriert sich auf IR in klassischen Datenbanken und strebt zudem auch keine systematische Darstellung des Gebiets an. Zu wünschen wäre also, dass das hier besprochene Buch auch hierzulande in der Lehre Verwendung finden würde, da es den Studierenden einen knappen, gut lesbaren Einblick in das Themengebiet gibt. Es sollte aufgrund der vorbildlichen Aufbereitung des Stoffs auch Vorbild für zukünftige Autoren von Lehrbüchern sein. Und letztlich würde sich der Rezensent eine deutsche Übersetzung dieses Bandes wünschen."
- LCSH
- Information retrieval
Information storage and retrieval systems
- Subject
- Information retrieval
Information storage and retrieval systems
-
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)
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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.
. . . Those interested in using the book to design IR databases can work through the chapters in the order provided and end up with a set of requirements for database design. The steps outlined in this book can be rearranged in numerous orders depending on the particular circumstances. This book would benefit from a discussion of what orders are appropriate for different circumstances and bow the requirements outlined interact. I come away from Information Retrieval Design with mixed, although mainly positive feelings. Even though the aims of this book are made clear from the outset, it was still a disappointment to see issues such as implementation and evaluation covered in only a cursory manner. The book is very well structured. well written, and operates in a part of the space that bas been neglected for too long. The authors whet my appetite with discussion of design, and I would have liked to have heard a bit more about what happens in requirements' elicitation before the design issues base been identified and to impIementation after they have been addressed. Overall, the book is a comprehensive review of previous research supplemented by the authors' views on IR design. This book focuses on breadth of coverage rather than depth of coverage and is therefore potentially of more use to novices in the field. The writing style is clear, and the authors knowledge of the subject area is undoubted. I wouId recommend this book to anyone who wants to learn about IR database design and take advantage of the experience and insights of Anderson, one of tile visionaries it the field."
- LCSH
- Information retrieval
Information storage and retrieval systems / Design.
- Subject
- Information retrieval
Information storage and retrieval systems / Design.
-
Taylor, A.G.: ¬The organization of information (1999)
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- Abstract
- Taylor intends this book to be preparatory to traditional texts on cataloging and classification. She reviews why and how recorded information is organized in libraries, archives, museums, and art galleries. She then turns to the methods of retrieving information, such as through bibliographies and catalogs, and methods of encoding information (e.g., MARC and SGML), the metadata related to description and access, subject analysis by means of words, and classification as a further means of subject access. A chapter on systems for information storage and retrieval concludes a book that well fills the need for a single-volume introduction on its subject.
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Intner, S.S.; Lazinger, S.S.; Weihs, J.: Metadata and its impact on libraries (2005)
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- LCSH
- Information storage and retrieval systems
- Subject
- Information storage and retrieval systems
