-
Booth, P.F.; South, M.L.: Information filing and finding (1982)
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- LCSH
- Information retrieval
Information storage and retrieval systems
Filing systems
- RSWK
- Information Retrieval (BVB)
- Subject
- Information Retrieval (BVB)
Information retrieval
Information storage and retrieval systems
Filing systems
-
Hunter, E.J.: Classification - made simple (1987)
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- LCSH
- Information storage and retrieval systems
- Subject
- Information storage and retrieval systems
-
Rowley, J.E.: Organising knowledge : An introduction to information retrieval (1987)
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- LCSH
- Information storage and retrieval systems
- PRECIS
- Information retrieval systems
- Subject
- Information storage and retrieval systems
Information retrieval systems
-
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
-
Pollitt, A.S.: Information storage and retrieval systems : origin, development and applications (1979)
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- Content
- Enthält folgende Kapitel: (1) Recording knowledge; (2) Classifying and indexing; (3) Searching; (4) Building and searching a database; (5) Front-end systems; (6) From viewdata to hypermedia; (7) Evaluation
-
Kowalski, G.J.; Maybury, M.T.: Information storage and retrieval systems : theory and implemetation (2000)
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- Abstract
- This book provides a theoretical and practical explanation of the latest advancements in information retrieval and their application to existing systems. It takes a system approach, discussing all aspects of an IR system. The major difference between this book and the first edition is the addition to this text of descriptions of the automated indexing of multimedia dicuments, as items in information retrieval are now considered to be a combination of text along with graphics, audio, image and video data types. The growth of the Internet and the availability of enormous volumes of data in digital form have necessitated intense interest in techniques to assist the user in locating data
- Content
- Information Retrieval - Recherchestrategie - Information Retrieval Systeme - Datenbanksysteme - Multimedia - Indexierungsverfahren - Maschinelle Indexierungsverfahren - Clustering - Datenstruktur - Hypertext
- LCSH
- Information storage and retrieval systems
- Series
- The Kluwer international series on information retrieval; 8
- Subject
- Information storage and retrieval systems
-
Rijsbergen, C.J. van: Information retrieval (1979)
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- LCSH
- Information storage and retrieval systems
- RSWK
- Information Retrieval
Datenverarbeitung / Information Retrieval
- Subject
- Information Retrieval
Datenverarbeitung / 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
-
Frakes, W.B.: Introduction to information storage and retrieval systems (1992)
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- Abstract
- This chapter introduces and defines basic IR concepts, and presents a domain model of IR systems that describes their similarities and differences. The domain model is used to introduce and relate the chapters that follow. The relationship of IR systems to other information systems is discussed, as is the evaluation of IR systems
- Source
- Information retrieval: data structures and algorithms. Ed.: W.B. Frakes u. R. Baeza-Yates
-
Frants, V.I.; Voiskunskii, V.G.; Shapiro, J.: Automated information retrieval : theory and methods (1997)
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- Abstract
- The emergence of information retrieval systems as a means of satisfying information needs has resulted in a large number of theoretical and practical ideas being introduced. These advancements provide the foundation for the theory of IR systems detailed in this book. Attention is also focused on the other areas of information science and how these differing theories interact and rely on each other. The book details algorithms in each process in the system, including those that are radically new in the retrieval process and those that are adaptable to the individual. New apporaches to evaluating information retrieval studying their performance are included
- Content
- The system and the systems approach - Vital activities and needs - Information crisis - Concept on an information retrieval system - Information retrieval language - Automatic indexing of documents - Automatic indexing of search requests - Storage and access to information - Control and feedback in IR systems - Evaluation of search results - Evaluation of macroevaluated objects - Some directions in the development of IR systems
-
Rowley, J.E.; Farrow, J.: Organizing knowledge : an introduction to managing access to information (2000)
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- Abstract
- For its third edition this standard text on knowledge organization and retrieval has been extensively revised and restructured to accommodate the increased significance of electronic information resources. With the help of many new sections on topics such as information retrieval via the Web, metadata and managing information retrieval systems, the book explains principles relating to hybrid print-based and electronic, networked environments experienced by today's users. Part I, Information Basics, explores the nature of information and knowledge and their incorporation into documents. Part II, Records, focuses specifically on electronic databases for accessing print or electronic media. Part III, Access, explores the range of tools for accessing information resources and covers interfaces, indexing and searching languages, classification, thesauri and catalogue and bibliographic access points. Finally, Part IV, Systems, describes the contexts through which knowledge can be organized and retrieved, including OPACs, the Internet, CD-ROMs, online search services and printed indexes and documents. This book is a comprehensive and accessible introduction to knowledge organization for both undergraduate and postgraduate students of information management and information systems
- LCSH
- Information storage and retrieval systems / Management
- Subject
- Information storage and retrieval systems / Management
-
Gödert, W.; Lepsky, K.; Nagelschmidt, M.: Informationserschließung und Automatisches Indexieren : ein Lehr- und Arbeitsbuch (2011)
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- LCSH
- Information storage and retrieval systems
- RSWK
- Information Retrieval
- Subject
- Information storage and retrieval systems
Information Retrieval
-
Gaus, W.: Dokumentations- und Ordnungslehre : Theorie und Praxis des Information Retrieval (2005)
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- Abstract
- Dokumentation und Information Retrieval, also das gezielte Wiederauffinden von Informationen zu thematisch-inhaltlichen Fragestellungen sind wichtiger als je zuvor. Die hier vorliegende theoretisch fundierte und praxisorientierte Darstellung der Literatur-, Daten- und Faktendokumentation enthält viele instruktive Beispiele und praktische Übungen sowie einen umfassenden Beispielthesaurus und behandelt ausführlich Ordnungs- und Retrievalsysteme. Jedes Thema wird mit zahlreichen Prüfungsfragen abgeschlossen. Die detaillierten Antworten zu den insgesamt 195 Fragen umfassen alleine etwa 60 Seiten, Dieses Lehrbuch ist in seiner systematischen Darstellung und didaktischen Aufbereitung einzigartig. Durch sein ausführliches Sachwortregister eignet es sich auch als Nachschlagewerk. Die fünfte Auflage ist aktualisiert und erweitert worden.
- LCSH
- Information Storage and Retrieval
Information Systems Applications (incl.Internet)
Information Systems and Communication Service / Models and Principles
- RSWK
- Information Retrieval / Lehrbuch
- Subject
- Information Retrieval / Lehrbuch
Information Storage and Retrieval
Information Systems Applications (incl.Internet)
Information Systems and Communication Service / Models and Principles
-
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.
-
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
-
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.
Der Zugang zum Informationsspeicher ist auch von verwandten Begriffen her zu gewährleisten, denn der Suchende lässt sich gern mit seiner Fragestellung zu allgemeineren und vor allem zu spezifischeren Begriffen leiten. Verweisungen der Art "siehe auch" dienen diesem Zweck. Der Zugang ist auch von unterschiedlichen, aber bedeutungsgleichen Ausdrücken mithilfe einer Verweisung von der Art "siehe" zu gewährleisten, denn ein Fragesteller könnte sich mit einem von diesen Synonymen auf die Suche begeben haben und würde dann nicht fündig werden. Auch wird Vieles, wofür ein Suchender sein Schlagwort parat hat, in einem Text nur in wortreicher Umschreibung und paraphrasiert angetroffen ("Terms that may not appear in the text but are likely to be sought by index users"), d.h. praktisch unauffindbar in einer derartig mannigfaltigen Ausdrucksweise. All dies sollte lexikalisch ausgedrückt werden, und zwar in geläufiger Terminologie, denn in dieser Form erfolgt auch die Fragestellung. Hier wird die Grenze zwischen "concept indexing" gegenüber dem bloßen "word indexing" gezogen, welch letzteres sich mit der Präsentation von nicht interpretierten Textwörtern begnügt. Nicht nur ist eine solche Grenze weit verbreitet unbekannt, ihre Existenz wird zuweilen sogar bestritten, obwohl doch ein Wort meistens viele Begriffe ausdrückt und obwohl ein Begriff meistens durch viele verschiedene Wörter und Sätze ausgedrückt wird. Ein Autor kann und muss sich in seinen Texten oft mit Andeutungen begnügen, weil ein Leser oder Zuhörer das Gemeinte schon aus dem Zusammenhang erkennen kann und nicht mit übergroßer Deutlichkeit (spoon feeding) belästigt sein will, was als Unterstellung von Unkenntnis empfunden würde. Für das Retrieval hingegen muss das Gemeinte explizit ausgedrückt werden. In diesem Buch wird deutlich gemacht, was alles an außertextlichem und Hintergrund-Wissen für ein gutes Indexierungsergebnis aufgeboten werden muss, dies auf der Grundlage von sachverständiger und sorgfältiger Interpretation ("The indexer must understand the meaning of a text"). All dies lässt gutes Indexieren nicht nur als professionelle Dienstleistung erscheinen, sondern auch als Kunst. Als Grundlage für all diese Schritte wird ein Thesaurus empfohlen, mit einem gut strukturierten Netzwerk von verwandtschaftlichen Beziehungen und angepasst an den jeweiligen Buchtext. Aber nur selten wird man auf bereits andernorts vorhandene Thesauri zurückgreifen können. Hier wäre ein Hinweis auf einschlägige Literatur zur Thesaurus-Konstruktion nützlich gewesen.
