Search (54 results, page 1 of 3)

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Content

Inhalt: Keynote address - Order and KO - Conceptology in KO - Mathematics in KO - Psychology and KO - Science and KO - Problems in KO - KOS general questions - KOS structure and elements, facet analysis - KOS construction - KOS Maintenance, updating and storage - Compatibility, concordance, interoperability between indexing languages - Theory of classing and indexing - Taxonomies in communications engineering - Special KOSs in literature - Special KOSs in cultural sciences - General problems of natural language, derived indexing, tagging - Automatic language processing - Online retrieval systems and technologies - Problems of terminology - Subject-oriented terminology work - General problems of applied classing and indexing, catalogues, guidelines - Classing and indexing of non-book materials (images, archives, museums) - Personas and institutions in KO, cultural warrant - Organizing team - List of contributors

Date

22. 2.2013 12:09:34

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Abstract

Indexing consists of both novel and more traditional techniques. Cutting-edge indexing techniques, such as automatic indexing, ontologies, and topic maps, were developed independently of older techniques such as thesauri, but it is now recognized that these older methods also hold expertise. Indexing describes various traditional and novel indexing techniques, giving information professionals and students of library and information sciences a broad and comprehensible introduction to indexing. This title consists of twelve chapters: an Introduction to subject readings and theasauri; Automatic indexing versus manual indexing; Techniques applied in automatic indexing of text material; Automatic indexing of images; The black art of indexing moving images; Automatic indexing of music; Taxonomies and ontologies; Metadata formats and indexing; Tagging; Topic maps; Indexing the web; and The Semantic Web.

Date

24. 8.2016 14:03:22

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Abstract

Social Tagging ist eine Methode zur semantischen Datenorganisation. Im Unterschied zu traditionellen Ansätzen wird die Kategorisierung nicht von Experten vorgenommen, sondern von einer Vielzahl von Benutzern gemeinschaftlich entwickelt. Bezüglich der Daten existieren grundsätzlich keinerlei Einschränkungen. Dabei kann es sich sowohl um multimediale Inhalte als auch um wissenschaftliche Literatur handeln. Jeder Benutzer, unabhängig von Expertise oder Intention, ist aufgefordert, mithilfe von frei gewählten Tags die Kategorisierung der verwendeten Ressourcen zu unterstützen. Insgesamt entsteht dadurch eine Sammlung verschiedenster subjektiver Einschätzungen, die zusammen eine umfassende semantische Organisation bestimmter Inhalte darstellen. Ziel dieses Buches ist es, zunächst die Grundlagen und Anwendungen von Social Tagging zu erörtern und dann speziell die Effekte im Hinblick auf die Wissensorganisation und die sozialen Beziehungen der Benutzer zu analysieren. Eines der zentralen Ergebnisse dieser Arbeit ist die Erkenntnis, dass die gemeinschaftlich erzeugten Metadaten eine unerwartet hohe Qualität bzw. Bedeutsamkeit aufweisen, obwohl Mehrdeutigkeiten und verschiedene Schreibweisen diese negativ beeinflussen könnten. Social Tagging ist besonders effektiv für die Organisation von sehr großen oder auch heterogenen Daten-beständen, die mit herkömmlichen, experten-basierten Kategorisierungsverfahren nicht mehr verarbeitet werden können oder durch automatische Verfahren qualitativ schlechter indexiert werden. Durch Social Tagging wird nicht nur die Wissensorganisation gefördert, sondern darüber hinaus auch die Zusammenarbeit und der Aufbau von Communities, weshalb Social Tagging auch effizient in der Lehre eingesetzt werden kann.

RSWK

Social Tagging / Virtuelle Gemeinschaft / Wissensorganisation

Subject

Social Tagging / Virtuelle Gemeinschaft / Wissensorganisation

Theme

Social tagging

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Abstract

Social tagging, hashtags, and geotags are used across a variety of platforms (Twitter, Facebook, Tumblr, WordPress, Instagram) in different countries and cultures. This book, representing researchers and practitioners across different information professions, explores how social tags can link content across a variety of environments. Most studies of social tagging have tended to focus on applications like library catalogs, blogs, and social bookmarking sites. This book, in setting out a theoretical background and the use of a series of case studies, explores the role of hashtags as a form of linked data?without the complex implementation of RDF and other Semantic Web technologies.

RSWK

Linked Data / Social Tagging

Subject

Linked Data / Social Tagging

Theme

Social tagging

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Footnote

Rez. in: Philosophisch-ethische Rezensionen vom 09.11.2019 (Jürgen Czogalla), Unter: https://philosophisch-ethische-rezensionen.de/rezension/Goedert1.html. In: B.I.T. online 23(2020) H.3, S.345-347 (W. Sühl-Strohmenger) [Unter: https%3A%2F%2Fwww.b-i-t-online.de%2Fheft%2F2020-03-rezensionen.pdf&usg=AOvVaw0iY3f_zNcvEjeZ6inHVnOK]. In: Open Password Nr. 805 vom 14.08.2020 (H.-C. Hobohm) [Unter: https://www.password-online.de/?mailpoet_router&endpoint=view_in_browser&action=view&data=WzE0MywiOGI3NjZkZmNkZjQ1IiwwLDAsMTMxLDFd].

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RSWK

Social Media / Multimodalität / Kommunikation / Social Tagging (DNB)

Subject

Social Media / Multimodalität / Kommunikation / Social Tagging (DNB)

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Abstract

The advent of new information retrieval (IR) technologies and approaches to storage and retrieval provide communities with previously unheard of opportunities for mass documentation, digitization, and the recording of information in all its forms. This book introduces and contextualizes these developments and looks at supporting research in IR, the debates, theories and issues. Contributed by an international team of experts, each authored chapter provides a snapshot of changes in the field, as well as the importance of developing innovation, creativity and thinking in IR practice and research. Key discussion areas include: browsing in new information environments classification revisited: a web of knowledge approaches to fiction retrieval research music information retrieval research folksonomies, social tagging and information retrieval digital information interaction as semantic navigation assessing web search machines: a webometric approach. The questions raised are of significance to the whole international library and information science community, and this is essential reading for LIS professionals , researchers and students, and for all those interested in the future of IR.

Content

Inhalt: Bawden, D.: Encountering on the road to serendip? Browsing in new information environments. - Slavic, A.: Classification revisited: a web of knowledge. - Vernitski, A. u. P. Rafferty: Approaches to fiction retrieval research, from theory to practice? - Inskip, C.: Music information retrieval research. - Peters, I.: Folksonomies, social tagging and information retrieval. - Kopak, R., L. Freund u. H. O'Brien: Digital information interaction as semantic navigation. - Thelwall, M.: Assessing web search engines: a webometric approach

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Theme

Social tagging

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Abstract

LIS professionals use structures for organizing knowledge when they catalog and classify objects in the collection, when they develop databases, when they design customized taxonomies, or when they search online. Structures for Organizing Knowledge: Exploring Taxonomies, Ontologies, and Other Schema explores and explains this basic function by looking at three questions: 1) How do we organize objects so that they make sense and are useful? 2) What role do categories, classifications, taxonomies, and other structures play in the process of organizing? 3) What do information professionals need to know about organizing behaviors in order to design useful structures for organizing knowledge? Taking a broad, yet specialized approach that is a first in the field, this book answers those questions by examining three threads: traditional structures for organizing knowledge; personal structures for organizing knowledge; and socially-constructed structures for organizing knowledge. Through these threads, it offers avenues for expanding thinking on classification and classification schemes, taxonomy and ontology development, and structures. Both a history of the development of taxonomies and an analysis of current research, theories, and applications, this volume explores a wide array of topics, including the new digital, social aspect of taxonomy development. Examples of subjects covered include: Formal and informal structures Applications of knowledge structures Classification schemes Early taxonomists and their contributions Social networking, bookmarking, and cataloging sites Cataloging codes Standards and best practices Tags, tagging, and folksonomies Descriptive cataloging Metadata schema standards Thought exercises, references, and a list of helpful websites augment each section. A final chapter, "Thinking Ahead: Are We at a Crossroads?" uses "envisioning exercises" to help LIS professionals look into the future.

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Abstract

Dealing with information is one of the vital skills in the 21st century. It takes a fair degree of information savvy to create, represent and supply information as well as to search for and retrieve relevant knowledge. How does information (documents, pieces of knowledge) have to be organized in order to be retrievable? What role does metadata play? What are search engines on the Web, or in corporate intranets, and how do they work? How must one deal with natural language processing and tools of knowledge organization, such as thesauri, classification systems, and ontologies? How useful is social tagging? How valuable are intellectually created abstracts and automatically prepared extracts? Which empirical methods allow for user research and which for the evaluation of information systems? This Handbook is a basic work of information science, providing a comprehensive overview of the current state of information retrieval and knowledge representation. It addresses readers from all professions and scientific disciplines, but particularly scholars, practitioners and students of Information Science, Library Science, Computer Science, Information Management, and Knowledge Management. This Handbook is a suitable reference work for Public and Academic Libraries.

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RSWK

Social Tagging

Subject

Social Tagging

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Date

17. 9.2018 18:19:22

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Date

22. 1.2017 16:45:48

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Date

28. 9.2016 18:22:22

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Date

22. 1.2017 16:54:03
22. 1.2017 17:10:56

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Date

22. 1.2017 17:12:50

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Date

23. 9.2010 11:15:22

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Abstract

With the rapid growth of web-based applications, such as search engines, Facebook, and Twitter, the development of effective and personalized information retrieval techniques and of user interfaces is essential. The amount of shared information and of social networks has also considerably grown, requiring metadata for new sources of information, like Wikipedia and ODP. These metadata have to provide classification information for a wide range of topics, as well as for social networking sites like Twitter, and Facebook, each of which provides additional preferences, tagging information and social contexts. Due to the explosion of social networks and other metadata sources, it is an opportune time to identify ways to exploit such metadata in IR tasks such as user modeling, query understanding, and personalization, to name a few. Although the use of traditional metadata such as html text, web page titles, and anchor text is fairly well-understood, the use of category information, user behavior data, and geographical information is just beginning to be studied. This book is intended for scientists and decision-makers who wish to gain working knowledge about search engines in order to evaluate available solutions and to dialogue with software and data providers.

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Content

INFORMATION MINING / AUTOMATIC INDEXING Flávio Codeço Coelho, Renato Rocha Souza, Daniel Magalhães Chada and Pablo de Camargo Cerdeira. Information Mining and Visualization of Data from the Brazilian Supreme Court (STF): A Case Study - Carlos Alberto Correa and Nair Yumiko Kobashi. Automatic Indexing and Information Visualization: A Study Based on Paraconsistent Logics - Nalini A. Raja. Digitized Contents and Index Pages as Alternative Subject Access Fields USERS AND CONTEXT Carol L. Tilley and Kathryn A. La Barre. What if they build it and no one comes? Balancing Full-Text Access and User Tasks - Sholeh Arastoopoor and Rahmatollah Fattahi. Users. perception of Aboutness and Ofness in Images: An Approach to Subject Indexing Based on Ervin Panofsky's Theory and Users' View - Melodie J. Fox. Communities of Practice, Gender and Social Tagging - Radia Bernaoui and Mohmed Hassoun. User Expectations and Reality and Delineation of Agricultural Information Systems in the Maghreb ABSTRACTS OF POSTERS