-
Veltman, K.H.: Frontiers in conceptual navigation for cultural heritage (1999)
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- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Principles of semantic networks : explorations in the representation of knowledge (1991)
0.35
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- Abstract
- Enthält 3 thematische Sektionen: (1) Issues in knowledge representation; (2) formal analyses; (3) systems for knowledge representation
- Footnote
- Rez. in: Knowledge organization. 20(1993) no.1, S.60-61 (O. Sechser)
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Looking for information : a survey on research on information seeking, needs, and behavior (2012)
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- Footnote
- Rez. in: JASIST 63(2012) no.12, S.2557-2558 (Heidi Julien)
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Jarvelin, K.: ¬A deductive data model for thesaurus navigation and query expansion (1996)
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- Abstract
- Describes a deductive data model based on 3 abstraction levels for representing vocabularies for information retrieval: conceptual level; expression level; and occurrence level. The proposed data model can be used for the representation and navigation of indexing and retrieval thesauri and as a vocabulary source for concept based query expansion in heterogeneous retrieval environments
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Weiermann, S.L.: Semantische Netze und Begriffsdeskription in der Wissensrepräsentation (2000)
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- Content
- Inhalt (in Kürze): Einleitung. Wissensrepräsentation. Semantische Netze. Wissensrepräsentationssysteme. Empirische Analyse und Systemerweiterungen.
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Nohr, H.: Grundlagen der automatischen Indexierung : ein Lehrbuch (2003)
0.20
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- Date
- 22. 6.2009 12:46:51
- Footnote
- Rez. in: nfd 54(2003) H.5, S.314 (W. Ratzek): "Um entscheidungsrelevante Daten aus der ständig wachsenden Flut von mehr oder weniger relevanten Dokumenten zu extrahieren, müssen Unternehmen, öffentliche Verwaltung oder Einrichtungen der Fachinformation effektive und effiziente Filtersysteme entwickeln, einsetzen und pflegen. Das vorliegende Lehrbuch von Holger Nohr bietet erstmalig eine grundlegende Einführung in das Thema "automatische Indexierung". Denn: "Wie man Information sammelt, verwaltet und verwendet, wird darüber entscheiden, ob man zu den Gewinnern oder Verlierern gehört" (Bill Gates), heißt es einleitend. Im ersten Kapitel "Einleitung" stehen die Grundlagen im Mittelpunkt. Die Zusammenhänge zwischen Dokumenten-Management-Systeme, Information Retrieval und Indexierung für Planungs-, Entscheidungs- oder Innovationsprozesse, sowohl in Profit- als auch Non-Profit-Organisationen werden beschrieben. Am Ende des einleitenden Kapitels geht Nohr auf die Diskussion um die intellektuelle und automatische Indexierung ein und leitet damit über zum zweiten Kapitel "automatisches Indexieren. Hier geht der Autor überblickartig unter anderem ein auf - Probleme der automatischen Sprachverarbeitung und Indexierung - verschiedene Verfahren der automatischen Indexierung z.B. einfache Stichwortextraktion / Volltextinvertierung, - statistische Verfahren, Pattern-Matching-Verfahren. Die "Verfahren der automatischen Indexierung" behandelt Nohr dann vertiefend und mit vielen Beispielen versehen im umfangreichsten dritten Kapitel. Das vierte Kapitel "Keyphrase Extraction" nimmt eine Passpartout-Status ein: "Eine Zwischenstufe auf dem Weg von der automatischen Indexierung hin zur automatischen Generierung textueller Zusammenfassungen (Automatic Text Summarization) stellen Ansätze dar, die Schlüsselphrasen aus Dokumenten extrahieren (Keyphrase Extraction). Die Grenzen zwischen den automatischen Verfahren der Indexierung und denen des Text Summarization sind fließend." (S. 91). Am Beispiel NCR"s Extractor/Copernic Summarizer beschreibt Nohr die Funktionsweise.
Im fünften Kapitel "Information Extraction" geht Nohr auf eine Problemstellung ein, die in der Fachwelt eine noch stärkere Betonung verdiente: "Die stetig ansteigende Zahl elektronischer Dokumente macht neben einer automatischen Erschließung auch eine automatische Gewinnung der relevanten Informationen aus diesen Dokumenten wünschenswert, um diese z.B. für weitere Bearbeitungen oder Auswertungen in betriebliche Informationssysteme übernehmen zu können." (S. 103) "Indexierung und Retrievalverfahren" als voneinander abhängige Verfahren werden im sechsten Kapitel behandelt. Hier stehen Relevance Ranking und Relevance Feedback sowie die Anwendung informationslinguistischer Verfahren in der Recherche im Mittelpunkt. Die "Evaluation automatischer Indexierung" setzt den thematischen Schlusspunkt. Hier geht es vor allem um die Oualität einer Indexierung, um gängige Retrievalmaße in Retrievaltest und deren Einssatz. Weiterhin ist hervorzuheben, dass jedes Kapitel durch die Vorgabe von Lernzielen eingeleitet wird und zu den jeweiligen Kapiteln (im hinteren Teil des Buches) einige Kontrollfragen gestellt werden. Die sehr zahlreichen Beispiele aus der Praxis, ein Abkürzungsverzeichnis und ein Sachregister erhöhen den Nutzwert des Buches. Die Lektüre förderte beim Rezensenten das Verständnis für die Zusammenhänge von BID-Handwerkzeug, Wirtschaftsinformatik (insbesondere Data Warehousing) und Künstlicher Intelligenz. Die "Grundlagen der automatischen Indexierung" sollte auch in den bibliothekarischen Studiengängen zur Pflichtlektüre gehören. Holger Nohrs Lehrbuch ist auch für den BID-Profi geeignet, um die mehr oder weniger fundierten Kenntnisse auf dem Gebiet "automatisches Indexieren" schnell, leicht verständlich und informativ aufzufrischen."
- Theme
- Grundlagen u. Einführungen: Allgemeine Literatur
-
Looking for information : a survey on research on information seeking, needs, and behavior (2016)
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- Abstract
- The 4th edition of this popular and well-cited text is now co-authored, and includes significant changes from earlier texts. Presenting a comprehensive review of over a century of research on information behavior (IB), this book is intended for students in information studies and disciplines interested in research on information activities. The initial two chapters introduce IB as a multi-disciplinary topic, the 3rd provides a brief history of research on information seeking. Chapter four discusses what is meant by the terms "information" and "knowledge. "Chapter five discusses "information needs," and how they are addressed. The 6th chapter identifies many related concepts. Twelve models of information behavior (expanded from earlier editions) are illustrated in chapter seven. Chapter eight reviews various paradigms and theories informing IB research. Chapter nine examines research methods invoked in IB studies and a discussion of qualitative and mixed approaches. The 10th chapter gives examples of IB studies by context. The final chapter looks at strengths and weaknesses, recent trends, and future development.
- Editor
- Case, D.O. u. Lisa M. Given
- Footnote
- Rez. in: JASIST 68(2017) no.9, S.2284-2286 (Charles Cole)
- RSWK
- Information Retrieval
- Series
- Studies in information
- Subject
- Information Retrieval
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Baofu, P.: ¬The future of information architecture : conceiving a better way to understand taxonomy, network, and intelligence (2008)
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- Abstract
- The Future of Information Architecture examines issues surrounding why information is processed, stored and applied in the way that it has, since time immemorial. Contrary to the conventional wisdom held by many scholars in human history, the recurrent debate on the explanation of the most basic categories of information (eg space, time causation, quality, quantity) has been misconstrued, to the effect that there exists some deeper categories and principles behind these categories of information - with enormous implications for our understanding of reality in general. To understand this, the book is organised in to four main parts: Part I begins with the vital question concerning the role of information within the context of the larger theoretical debate in the literature. Part II provides a critical examination of the nature of data taxonomy from the main perspectives of culture, society, nature and the mind. Part III constructively invesitgates the world of information network from the main perspectives of culture, society, nature and the mind. Part IV proposes six main theses in the authors synthetic theory of information architecture, namely, (a) the first thesis on the simpleness-complicatedness principle, (b) the second thesis on the exactness-vagueness principle (c) the third thesis on the slowness-quickness principle (d) the fourth thesis on the order-chaos principle, (e) the fifth thesis on the symmetry-asymmetry principle, and (f) the sixth thesis on the post-human stage.
- 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
-
Melucci, M.: Contextual search : a computational framework (2012)
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- Abstract
- The growing availability of data in electronic form, the expansion of the World Wide Web and the accessibility of computational methods for large-scale data processing have allowed researchers in Information Retrieval (IR) to design systems which can effectively and efficiently constrain search within the boundaries given by context, thus transforming classical search into contextual search. Contextual Search: A Computational Framework introduces contextual search within a computational framework based on contextual variables, contextual factors and statistical models. It describes how statistical models can process contextual variables to infer the contextual factors underlying the current search context. It also provides background to the subject by: placing it among other surveys on relevance, interaction, context, and behaviour; providing a description of the contextual variables used for implementing the statistical models which represent and predict relevance and contextual factors; and providing an overview of the evaluation methodologies and findings relevant to this subject. Contextual Search: A Computational Framework is a highly recommended read, both for beginners who are embarking on research in this area and as a useful reference for established IR researchers.
- Series
- Foundations and trends(r) in information retrieval; 6, 4/5
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Schmitz-Esser, W.: EXPO-INFO 2000 : Visuelles Besucherinformationssystem für Weltausstellungen (2000)
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- Abstract
- Das aktuelle Wissen der Welt im Spiegel einer Weltausstellung: Wie stellt man das dar und wie macht man es Interessierten zugänglich - in der Ausstellung, in Publikationen, im Funk und über das Internet? Was man alles auf einer Weltausstellung an der Schwelle zum dritten Jahrtausend sehen und erfahren kann, sprengt in Fülle und Vielfalt jeden individuell faßbaren Rahmen. Schmitz-Esser zeigt in seinem Buch, wie der Besucher wahlweise in vier Sprachen die Weltausstellung erleben und die Quintessenz davon mitnehmen kann. Ermöglicht wird dies durch das Konzept des virtuellen "Wissens in der Kapsel", das so aufbereitet ist, daß es in allen gängigen medialen Formen und für unterschiedlichste Wege der Aneignung eingesetzt werden kann. Die Lösung ist nicht nur eine Sache der Informatik und Informationstechnologie, sondern vielmehr auch eine Herausforderung an Informationswissenschaft und Computerlinguistik. Das Buch stellt Ziel, Ansatz, Komponenten und Voraussetzungen dafür dar.
- Content
- Willkommene Anregung schon am Eingang.- Vertiefung des Wissens während der Ausstellung.- Alles für das Wohlbefinden.- Die Systemstruktur und ihre einzelnen Elemente.- Wovon alles ausgeht.- Den Stoff als Topics und Subtopics strukturieren.- Die Nutshells.- Der Proxy-Text.Der Thesaurus.- Gedankenraumreisen.- Und zurück in die reale Welt.- Weitergehende Produkte.- Das EXPO-Infosystem auf einen Blick.- Register.- Literaturverzeichnis.
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Nagao, M.: Knowledge and inference (1990)
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- Abstract
- Knowledge and Inference discusses an important problem for software systems: How do we treat knowledge and ideas on a computer and how do we use inference to solve problems on a computer? The book talks about the problems of knowledge and inference for the purpose of merging artificial intelligence and library science. The book begins by clarifying the concept of ""knowledge"" from many points of view, followed by a chapter on the current state of library science and the place of artificial intelligence in library science. Subsequent chapters cover central topics in the artificial intelligence: search and problem solving, methods of making proofs, and the use of knowledge in looking for a proof. There is also a discussion of how to use the knowledge system. The final chapter describes a popular expert system. It describes tools for building expert systems using an example based on Expert Systems-A Practical Introduction by P. Sell (Macmillian, 1985). This type of software is called an ""expert system shell."" This book was written as a textbook for undergraduate students covering only the basics but explaining as much detail as possible.
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Zenz, G.; Zhou, X.; Minack, E.; Siberski, W.; Nejdl, W.: Interactive query construction for keyword search on the Semantic Web (2012)
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- Abstract
- With the advance of the semantic Web, increasing amounts of data are available in a structured and machine-understandable form. This opens opportunities for users to employ semantic queries instead of simple keyword-based ones to accurately express the information need. However, constructing semantic queries is a demanding task for human users [11]. To compose a valid semantic query, a user has to (1) master a query language (e.g., SPARQL) and (2) acquire sufficient knowledge about the ontology or the schema of the data source. While there are systems which support this task with visual tools [21, 26] or natural language interfaces [3, 13, 14, 18], the process of query construction can still be complex and time consuming. According to [24], users prefer keyword search, and struggle with the construction of semantic queries although being supported with a natural language interface. Several keyword search approaches have already been proposed to ease information seeking on semantic data [16, 32, 35] or databases [1, 31]. However, keyword queries lack the expressivity to precisely describe the user's intent. As a result, ranking can at best put query intentions of the majority on top, making it impossible to take the intentions of all users into consideration.
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Bergamaschi, S.; Domnori, E.; Guerra, F.; Rota, S.; Lado, R.T.; Velegrakis, Y.: Understanding the semantics of keyword queries on relational data without accessing the instance (2012)
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- Abstract
- The birth of the Web has brought an exponential growth to the amount of the information that is freely available to the Internet population, overloading users and entangling their efforts to satisfy their information needs. Web search engines such Google, Yahoo, or Bing have become popular mainly due to the fact that they offer an easy-to-use query interface (i.e., based on keywords) and an effective and efficient query execution mechanism. The majority of these search engines do not consider information stored on the deep or hidden Web [9,28], despite the fact that the size of the deep Web is estimated to be much bigger than the surface Web [9,47]. There have been a number of systems that record interactions with the deep Web sources or automatically submit queries them (mainly through their Web form interfaces) in order to index their context. Unfortunately, this technique is only partially indexing the data instance. Moreover, it is not possible to take advantage of the query capabilities of data sources, for example, of the relational query features, because their interface is often restricted from the Web form. Besides, Web search engines focus on retrieving documents and not on querying structured sources, so they are unable to access information based on concepts.
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Agarwal, N.K.: Exploring context in information behavior : seeker, situation, surroundings, and shared identities (2018)
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- Abstract
- The field of human information behavior runs the gamut of processes from the realization of a need or gap in understanding, to the search for information from one or more sources to fill that gap, to the use of that information to complete a task at hand or to satisfy a curiosity, as well as other behaviors such as avoiding information or finding information serendipitously. Designers of mechanisms, tools, and computer-based systems to facilitate this seeking and search process often lack a full knowledge of the context surrounding the search. This context may vary depending on the job or role of the person; individual characteristics such as personality, domain knowledge, age, gender, perception of self, etc.; the task at hand; the source and the channel and their degree of accessibility and usability; and the relationship that the seeker shares with the source. Yet researchers have yet to agree on what context really means. While there have been various research studies incorporating context, and biennial conferences on context in information behavior, there lacks a clear definition of what context is, what its boundaries are, and what elements and variables comprise context. In this book, we look at the many definitions of and the theoretical and empirical studies on context, and I attempt to map the conceptual space of context in information behavior. I propose theoretical frameworks to map the boundaries, elements, and variables of context. I then discuss how to incorporate these frameworks and variables in the design of research studies on context. We then arrive at a unified definition of context. This book should provide designers of search systems a better understanding of context as they seek to meet the needs and demands of information seekers. It will be an important resource for researchers in Library and Information Science, especially doctoral students looking for one resource that covers an exhaustive range of the most current literature related to context, the best selection of classics, and a synthesis of these into theoretical frameworks and a unified definition. The book should help to move forward research in the field by clarifying the elements, variables, and views that are pertinent. In particular, the list of elements to be considered, and the variables associated with each element will be extremely useful to researchers wanting to include the influences of context in their studies.
- Footnote
- Rez. in: JASIST 70(2019) no.3, S.301-303 (Ina Fourie)
- Series
- Synthesis lectures on information concepts, retrieval, and services; 61
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Shah, C.: Collaborative information seeking : the art and science of making the whole greater than the sum of all (2012)
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- Abstract
- Today's complex, information-intensive problems often require people to work together. Mostly these tasks go far beyond simply searching together; they include information lookup, sharing, synthesis, and decision-making. In addition, they all have an end-goal that is mutually beneficial to all parties involved. Such "collaborative information seeking" (CIS) projects typically last several sessions and the participants all share an intention to contribute and benefit. Not surprisingly, these processes are highly interactive. Shah focuses on two individually well-understood notions: collaboration and information seeking, with the goal of bringing them together to show how it is a natural tendency for humans to work together on complex tasks. The first part of his book introduces the general notions of collaboration and information seeking, as well as related concepts, terminology, and frameworks; and thus provides the reader with a comprehensive treatment of the concepts underlying CIS. The second part of the book details CIS as a standalone domain. A series of frameworks, theories, and models are introduced to provide a conceptual basis for CIS. The final part describes several systems and applications of CIS, along with their broader implications on other fields such as computer-supported cooperative work (CSCW) and human-computer interaction (HCI). With this first comprehensive overview of an exciting new research field, Shah delivers to graduate students and researchers in academia and industry an encompassing description of the technologies involved, state-of-the-art results, and open challenges as well as research opportunities.
- Content
- Inhalt: Part I Introduction.- Introduction.- Collaboration.- Collaborative Information Seeking (CIS) in Context.- Part II Conceptual Understanding of CIS.- Frameworks for CIS Research and Development.- Toward a Model for CIS.- Part III CIS Systems, Applications, and Implications.- Systems and Tools for CIS.- Evaluation.- Conclusion.- Ten Stories of Five Cs.- Brief Overview of Computer-Supported Cooperative Work (CSCW).- Brief Overview of Computer-Supported Collaborative Learning (CSCL).- Brief Overview of Computer-Mediated Communication (CMC).
- Series
- The Information Retrieval Series ; 34
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Semantic search over the Web (2012)
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- Abstract
- The Web has become the world's largest database, with search being the main tool that allows organizations and individuals to exploit its huge amount of information. Search on the Web has been traditionally based on textual and structural similarities, ignoring to a large degree the semantic dimension, i.e., understanding the meaning of the query and of the document content. Combining search and semantics gives birth to the idea of semantic search. Traditional search engines have already advertised some semantic dimensions. Some of them, for instance, can enhance their generated result sets with documents that are semantically related to the query terms even though they may not include these terms. Nevertheless, the exploitation of the semantic search has not yet reached its full potential. In this book, Roberto De Virgilio, Francesco Guerra and Yannis Velegrakis present an extensive overview of the work done in Semantic Search and other related areas. They explore different technologies and solutions in depth, making their collection a valuable and stimulating reading for both academic and industrial researchers. The book is divided into three parts. The first introduces the readers to the basic notions of the Web of Data. It describes the different kinds of data that exist, their topology, and their storing and indexing techniques. The second part is dedicated to Web Search. It presents different types of search, like the exploratory or the path-oriented, alongside methods for their efficient and effective implementation. Other related topics included in this part are the use of uncertainty in query answering, the exploitation of ontologies, and the use of semantics in mashup design and operation. The focus of the third part is on linked data, and more specifically, on applying ideas originating in recommender systems on linked data management, and on techniques for the efficiently querying answering on linked data.
- Content
- Inhalt: Introduction.- Part I Introduction to Web of Data.- Topology of the Web of Data.- Storing and Indexing Massive RDF Data Sets.- Designing Exploratory Search Applications upon Web Data Sources.- Part II Search over the Web.- Path-oriented Keyword Search query over RDF.- Interactive Query Construction for Keyword Search on the SemanticWeb.- Understanding the Semantics of Keyword Queries on Relational DataWithout Accessing the Instance.- Keyword-Based Search over Semantic Data.- Semantic Link Discovery over Relational Data.- Embracing Uncertainty in Entity Linking.- The Return of the Entity-Relationship Model: Ontological Query Answering.- Linked Data Services and Semantics-enabled Mashup.- Part III Linked Data Search engines.- A Recommender System for Linked Data.- Flint: from Web Pages to Probabilistic Semantic Data.- Searching and Browsing Linked Data with SWSE.
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Brambilla, M.; Ceri, S.: Designing exploratory search applications upon Web data sources (2012)
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- Abstract
- Search is the preferred method to access information in today's computing systems. The Web, accessed through search engines, is universally recognized as the source for answering users' information needs. However, offering a link to a Web page does not cover all information needs. Even simple problems, such as "Which theater offers an at least three-stars action movie in London close to a good Italian restaurant," can only be solved by searching the Web multiple times, e.g., by extracting a list of the recent action movies filtered by ranking, then looking for movie theaters, then looking for Italian restaurants close to them. While search engines hint to useful information, the user's brain is the fundamental platform for information integration. An important trend is the availability of new, specialized data sources-the so-called "long tail" of the Web of data. Such carefully collected and curated data sources can be much more valuable than information currently available in Web pages; however, many sources remain hidden or insulated, in the lack of software solutions for bringing them to surface and making them usable in the search context. A new class of tailor-made systems, designed to satisfy the needs of users with specific aims, will support the publishing and integration of data sources for vertical domains; the user will be able to select sources based on individual or collective trust, and systems will be able to route queries to such sources and to provide easyto-use interfaces for combining them within search strategies, at the same time, rewarding the data source owners for each contribution to effective search. Efforts such as Google's Fusion Tables show that the technology for bringing hidden data sources to surface is feasible.
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Grundlagen der praktischen Information und Dokumentation : Handbuch zur Einführung in die Informationswissenschaft und -praxis (2013)
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- Content
- Enthält die Beiträge: A: Grundlegendes Rainer Kuhlen: Information - Informationswissenschaft - Ursula Georgy: Professionalisierung in der Informationsarbeit - Thomas Hoeren: Urheberrecht und Internetrecht - Stephan Holländer, Rolf A. Tobler: Schweizer Urheberrecht im digitalen Umfeld - Gerhard Reichmann: Urheberrecht und Internetrecht: Österreich - Rainer Kuhlen: Wissensökologie - Wissen und Information als Commons (Gemeingüter) - Rainer Hammwöhner: Hypertext - Christa Womser-Hacker, Thomas Mandl: Information Seeking Behaviour (ISB) - Hans-Christoph Hobohm: Informationsverhalten (Mensch und Information) - Urs Dahinden: Methoden empirischer Sozialforschung für die Informationspraxis - Michael Seadle: Ethnografische Verfahren der Datenerhebung - Hans-Christoph Hobohm: Erhebungsmethoden in der Informationsverhaltensforschung
B: Methodisches Bernard Bekavac: Web-Technologien - Rolf Assfalg: Metadaten - Ulrich Reimer: Wissensorganisation - Thomas Mandl: Text Mining und Data Mining - Harald Reiterer, Hans-Christian Jetter: Informationsvisualisierung - Katrin Weller: Ontologien - Stefan Gradmann: Semantic Web und Linked Open Data - Isabella Peters: Benutzerzentrierte Erschließungsverfahre - Ulrich Reimer: Empfehlungssysteme - Udo Hahn: Methodische Grundlagen der Informationslinguistik - Klaus Lepsky: Automatische Indexierung - Udo Hahn: Automatisches Abstracting - Ulrich Heid: Maschinelle Übersetzung - Bernd Ludwig: Spracherkennung - Norbert Fuhr: Modelle im Information Retrieval - Christa Womser-Hacker: Kognitives Information Retrieval - Alexander Binder, Frank C. Meinecke, Felix Bießmann, Motoaki Kawanabe, Klaus-Robert Müller: Maschinelles Lernen, Mustererkennung in der Bildverarbeitung
C: Informationsorganisation Helmut Krcmar: Informations- und Wissensmanagement - Eberhard R. Hilf, Thomas Severiens: Vom Open Access für Dokumente und Daten zu Open Content in der Wissenschaft - Christa Womser-Hacker: Evaluierung im Information Retrieval - Joachim Griesbaum: Online-Marketing - Nicola Döring: Modelle der Computervermittelten Kommunikation - Harald Reiterer, Florian Geyer: Mensch-Computer-Interaktion - Steffen Staab: Web Science - Michael Weller, Elena Di Rosa: Lizenzierungsformen - Wolfgang Semar, Sascha Beck: Sicherheit von Informationssystemen - Stefanie Haustein, Dirk Tunger: Sziento- und bibliometrische Verfahren
- Footnote
- Auch als eBook; vgl.: http://www.degruyter.com/view/product/174371?rskey=Hzo8Fb&result=3&q=kuhlen. Rez. in: iwp 64(2013) H.6, S.375-377 (U. Herb); Mitt VOEB 66(2013) H.3/4, S.681-686 (C. Schlögl); BuB 66(2014) H.2, S.150-152 (J. Bertram)
- Theme
- Grundlagen u. Einführungen: Allgemeine Literatur
-
Gödert, W.; Hubrich, J.; Nagelschmidt, M.: Semantic knowledge representation for information retrieval (2014)
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- Content
- Introduction: envisioning semantic information spacesIndexing and knowledge organization -- Semantic technologies for knowledge representation -- Information retrieval and knowledge exploration -- Approaches to handle heterogeneity -- Problems with establishing semantic interoperability -- Formalization in indexing languages -- Typification of semantic relations -- Inferences in retrieval processes -- Semantic interoperability and inferences -- Remaining research questions.
- Date
- 23. 7.2017 13:49:22
- LCSH
- Information retrieval
- RSWK
- Indexierung
Information Retrieval
- Subject
- Information retrieval
Indexierung
Information Retrieval
-
Automatische Indexierung zwischen Forschung und Anwendung (1986)
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- Abstract
- Die automatische Indexierung von Dokumenten für das Information Retrieval, d. h. die automatische Charakterisierung von Dokumentinhalten mittels Deskriptoren (Schlagwörtern) ist bereits seit über 25 Jahren ein Gebiet theoretischer und experimenteller Forschung. Dagegen wurde erst im Oktober 1985 mit der Anwendung der automatischen Indexierung in der Inputproduktion für ein großes Retrievalsystem begonnen. Es handelt sich um die Indexierung englischer Referatetexte für die Physik-Datenbasis des Informationszentrums Energie, Physik, Mathematik GmbH in Karlsruhe. In dem vorliegenden Buch beschreiben Mitarbeiter der Technischen Hochschule Darmstadt ihre Forschungs- und Entwicklungsarbeiten, die zu dieser Pilotanwendung geführt haben.
- Footnote
- Rez. in: Zeitschrift für Bibliothekswesen und Bibliographie 35(1988) S.508-510 (W. Gödert)
