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Chowdhury, G.G.; Chowdhury, S.: Introduction to digital libraries (2003)
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- Footnote
- Rez. in: JASIST 55(2004) no.2, S.178-179 (M.-Y. Kan): "In their latest book, Chowdhury and Chowdhury have written an introductory text an digital libraries, primarily targeting "students researching digital libraries as part of information and library science, as well as computer science, courses" (p. xiv). It is an ambitious work that surveys many of the broad topics in digital libraries (DL) while highlighting completed and ongoing DL research in many parts of the world. With the revamping of Library and Information Science (LIS) Curriculums to focus an information technology, many LIS schools are now teaching DL topics either as an independent course or as part of an existing one. Instructors of these courses have in many cases used supplementary texts and compeed readers from journals and conference materials, possibly because they feel that a suitable textbook has yet to be written. A solid, principal textbook for digital libraries is sorely needed to provide a critical, evaluative synthesis of DL literature. It is with this in mind that I believe Introduction to Digital Libraries was written. An introductory text an any Cross-disciplinary topic is bound to have conflicting limitations and expectations from its adherents who come from different backgrounds. This is the rase in the development of DL Curriculum, in which both LIS and computer science schools are actively involved. Compiling a useful secondary source in such Cross-disciplinary areas is challenging; it requires that jargon from each contributing field be carefully explained and respected, while providing thought-provoking material to broaden student perspectives. In my view, the book's breadth certainly encompasses the whole of what an introduction to DL needs, but it is hampered by a lack of focus from catering to such disparate needs. For example, LIS students will need to know which key aspects differentiate digital library metadata from traditional metadata while computer science students will need to learn the basics of vector spare and probabilistic information retrieval. However, the text does not give enough detail an either subject and thus even introductory students will need to go beyond the book and consult primary sources. In this respect, the book's 307 pages of content are too short to do justice to such a broad field of study.
Chapter 2 examines the variety and breadth of DL implementations and collections through a well-balanced selection of 20 DLs. The authors make a useful classification of the various types of DLs into seven categories and give a brief synopsis of two or three examples from each category. These categories include historical, national, and university DLs, as well as DLs for special materials and research. Chapter 3 examines research efforts in digital libraries, concentrating an the three eLib initiatives in the UK and the two Digital Libraries Initiatives in the United States. The chapter also offers some details an joint research between the UK and the United States (the NSF/JISC jointly funded programs), Europe, Canada, Australia, and New Zealand. While both of these chapters do an admirable job of surveying the DL landscape, the breadth and variety of materials need to be encapsulated in a coherent summary that illustrates the commonality of their approaches and their key differences that have been driven by aspects of their collections and audience. Unfortunately, this summary aspect is lacking here and elsewhere in the book. Chapter 2 does an admirable job of DL selection that showcases the variety of existing DLs, but 1 feel that Chapter 3's selection of research projects could be improved. The chapter's emphasis is clearly an UK-based research, devoting nine pages to it compared to six for EU-funded projects. While this emphasis could be favorable for UK courses, it hampers the chances of the text's adoption in other courses internationally. Chapter 4 begins the core part of the book by examining the DL from a design perspective. As a well-designed DL encompasses various practical and theoretical considerations, the chapter introduces much of the concepts that are elaborated an in later chapters. The Kahn/Wilensky and Lagoze/Fielding architectures are summarized in bullet points, and specific aspects of these frameworks are elaborated on. These include the choice between a federated or centralized search architecture (referencing Virginia Tech's NDLTD and Waikato's Greenstone) and level of interoperability (discussing UNIMARC and metadata harvesting). Special attention is paid to hybrid library design, with references to UK projects. A useful summary of recommended standards for DL design concludes the chapter.
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- 359 S
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Chu, H.: Information representation and retrieval in the digital age (2010)
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- 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.
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.
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- XIV, 248 S
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Broughton, V.: Essential classification (2004)
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- Footnote
- Rez. in: KO 32(2005) no.1, S.47-49 (M. Hudon): "Vanda Broughton's Essential Classification is the most recent addition to a very small set of classification textbooks published over the past few years. The book's 21 chapters are based very closely an the cataloguing and classification module at the School of Library, Archive, and Information studies at University College, London. The author's main objective is clear: this is "first and foremost a book about how to classify. The emphasis throughout is an the activity of classification rather than the theory, the practical problems of the organization of collections, and the needs of the users" (p. 1). This is not a theoretical work, but a basic course in classification and classification scheme application. For this reviewer, who also teaches "Classification 101," this is also a fascinating peek into how a colleague organizes content and structures her course. "Classification is everywhere" (p. 1): the first sentence of this book is also one of the first statements in my own course, and Professor Broughton's metaphors - the supermarket, canned peas, flowers, etc. - are those that are used by our colleagues around the world. The combination of tone, writing style and content display are reader-friendly; they are in fact what make this book remarkable and what distinguishes it from more "formal" textbooks, such as The Organization of Information, the superb text written and recently updated (2004) by Professor Arlene Taylor (2nd ed. Westport, Conn.: Libraries Unlimited, 2004). Reading Essential Classification, at times, feels like being in a classroom, facing a teacher who assures you that "you don't need to worry about this at this stage" (p. 104), and reassures you that, although you now speed a long time looking for things, "you will soon speed up when you get to know the scheme better" (p. 137). This teacher uses redundancy in a productive fashion, and she is not afraid to express her own opinions ("I think that if these concepts are helpful they may be used" (p. 245); "It's annoying that LCC doesn't provide clearer instructions, but if you keep your head and take them one step at a time [i.e. the tables] they're fairly straightforward" (p. 174)). Chapters 1 to 7 present the essential theoretical concepts relating to knowledge organization and to bibliographic classification. The author is adept at making and explaining distinctions: known-item retrieval versus subject retrieval, personal versus public/shared/official classification systems, scientific versus folk classification systems, object versus aspect classification systems, semantic versus syntactic relationships, and so on. Chapters 8 and 9 discuss the practice of classification, through content analysis and subject description. A short discussion of difficult subjects, namely the treatment of unique concepts (persons, places, etc.) as subjects seems a little advanced for a beginners' class.
Weitere Rez. in: ZfBB 53(2006) H.2, S.111-113 (W. Gödert)
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- 324 S
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Booth, P.F.: Indexing : the manual of good practice (2001)
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- Footnote
- Rez. in: nfd - Information Wissenschaft und Praxis 54(2003) H.7, S.440-442 (R. Fugmann): "Das Buch beginnt mit dem Kapitel "Myths about Indexing" und mit der Nennung von weit verbreiteten Irrtümern über das Indexieren, und zwar vorrangig über das Registermachen. Mit einem einzigen Satz ist die Problematik treffend skizziert, welcher das Buch gewidmet ist: "With the development of electronic documents, it has become possible to store very large amounts of information; but storage is not of much use without the capability to retrieve, to convert, transfer and reuse the information". Kritisiert wird die weit verbreitet anzutreffende Ansicht, das Indexieren sei lediglich eine Sache vom "picking out words from the text or naming objects in images and using those words as index headings". Eine solche Arbeitsweise führt jedoch nicht zu Registern, sondern zu Konkordanzen (d.h. zu alphabetischen Fundstellenlisten für Textwörter) und"... is entirely dependent an the words themselves and is not concerned with the ideas behind them". Das Sammeln von Information ist einfach. Aber die (Wieder-) Auffindbarkeit herzustellen muss gelernt werden, wenn mehr ermöglicht werden soll als lediglich das Wiederfinden von Texten, die man in allen Einzelheiten noch genau in Erinnerung behalten hat (known-item searches, questions of recall), die Details der sprachlichen Ausdrucksweise für die gesuchten Begriffe eingeschlossen. Die Verfasserin beschreibt aus ihrer großen praktischen Erfahrung, welche Schritte hierzu auf der gedanklichen und technischen Ebene unternommen werden müssen. Zu den erstgenannten Schritten rechnet die Abtrennung von Details, welche nicht im Index vertreten sein sollten ("unsought terms"), weil sie mit Sicherheit kein Suchziel darstellen werden und als "false friends" zur Überflutung des Suchenden mit Nebensächlichkeiten führen würden, eine Entscheidung, welche nur mit guter Sachkenntnis gefällt werden kann. All Dasjenige hingegen, was in Gegenwart und Zukunft (!) ein sinnvolles Suchziel darstellen könnte und "sufficiently informative" ist, verdient ein Schlagwort im Register. Man lernt auch durch lehrreiche Beispiele, wodurch ein Textwort unbrauchbar für das Register wird, wenn es dort als (schlechtes) Schlagwort erscheint, herausgelöst aus dem interpretierenden Zusammenhang, in welchen es im Text eingebettet gewesen ist. Auch muss die Vieldeutigkeit bereinigt werden, die fast jedem natursprachigen Wort anhaftet. Sonst wird der Suchende beim Nachschlagen allzu oft in die Irre geführt, und zwar um so öfter, je größer ein diesbezüglich unbereinigter Speicher bereits geworden ist.
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- XIV,489 S
