Search (39 results, page 1 of 2)

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Date

17. 1.2019 19:04:22

Source

Challenges and opportunities for knowledge organization in the digital age: proceedings of the Fifteenth International ISKO Conference, 9-11 July 2018, Porto, Portugal / organized by: International Society for Knowledge Organization (ISKO), ISKO Spain and Portugal Chapter, University of Porto - Faculty of Arts and Humanities, Research Centre in Communication, Information and Digital Culture (CIC.digital) - Porto. Eds.: F. Ribeiro u. M.E. Cerveira

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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

Series

Chandos information professional series

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Abstract

The quantitative evaluation of thesauri has been carried out much further since 1976. This type of evaluation is based on counting of special factors in thesaurus structure, some of which are counting preferred terms, non preferred terms, cross reference terms and so on. Therefore, various statistical tests have been proposed and applied for evaluation of thesauri. In this article, we try to explain some ratios in the field of unity quantitative evaluation in a thesaurus term network. Theoretical base of the ratios' indicators and indices construction, and epistemological thought in this type of quantitative evaluation, are discussed in this article. The theoretical base of quantitative evaluation is the epistemological thought of Immanuel Kant's Critique of pure reason. The cognition states of transcendental understanding are divided into three steps, the first is perception, the second combination and the third, relation making. Terms relation domains and conceptual relation domains can be analyzed with ratios. The use of quantitative evaluations in current research in the field of thesaurus construction prepares a basis for a restoration period. In modern thesaurus construction, traditional term relations are analyzed in detail in the form of new conceptual relations. Hence, the new domains of hierarchical and associative relations are constructed in the form of relations between concepts. The newly formed conceptual domains can be a suitable basis for quantitative evaluation analysis in conceptual relations.

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Abstract

Powering search offers a clear and comprehensive treatment of the role of thesauri in search user interfaces across a range of information search and retrieval systems - from bibliographic and full-text databases to digital libraries, portals, open archives, and content management systems.

Content

Thesauri : introduction and recent developments -- Thesauri in interactive information retrieval -- User-centered approach to the evaluation of thesauri : query formulation and expansion -- Thesauri in web-based search systems -- Thesaurus-based search and browsing functionalities in new thesaurus construction standards -- Design of search user interfaces for thesauri -- Design of user interfaces for multilingual and meta-thesauri -- User-centered evaluation of thesaurus-enhanced search user interfaces -- Guidelines for the design of thesaurus-enhanced search user interfaces -- Current trends and developments.

LCSH

Information storage and retrieval systems
Information retrieval

RSWK

Information Retrieval

Subject

Information Retrieval
Information storage and retrieval systems
Information retrieval

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Abstract

Thesauri are the most important tools for information and knowledge organization, and they undergo regular improvements according to the rapid development of new requirements and affordances of emerging information techniques. This paper attempts to integrate ontology into the conceptual organization scheme of thesauri and proposes a new solution to extend the functionality of thesauri based on ontological features, which is termed here as an onto-thesaurus. In this study, a prototype system named the Chinese Information Science and Information Service onto-thesaurus system (CIS&IS), was developed to analyze ontothesaurus with the category of information science and information service in the Chinese Topic Classification Dictionary with a two-stage approach. The first stage aims to define and construct the onto-thesaurus. The second stage aims to realize the evolution function of onto-thesaurus. The main purpose of this system was to achieve the function of self-learning and auto-evolution and to enable a much more effective conceptual retrieval by the newly proposed onto-thesaurus.

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Abstract

The originality of this book, which deals with such a new subject matter, lies in the application of methods and concepts never used before - such as Ontologies and Taxonomies, as well as Thesauri - to the ordering of knowledge based on primary information. Chapters in the book also examine the study of Ontologies, Taxonomies and Thesauri from the perspective of Systematics and General Systems Theory. "Ontologies, Taxonomy and Thesauri in Information Organisation and Retrieval" will be extremely useful to those operating within the network of related fields, which includes Documentation and Information Science.

Content

Inhalt: 1. From classifications to ontologies Knowledge - A new concept of knowledge - Knowledge and information - Knowledge organisation - Knowledge organisation and representation - Cognitive sciences - Talent management - Learning systematisation - Historical evolution - From classification to knowledge organisation - Why ontologies exist - Ontologies - The structure of ontologies 2. Taxonomies and thesauri From ordering to taxonomy - The origins of taxonomy - Hierarchical and horizontal order - Correlation with classifications - Taxonomy in computer science - Computing taxonomy - Definitions - Virtual taxonomy, cybernetic taxonomy - Taxonomy in Information Science - Similarities between taxonomies and thesauri - ifferences between taxonomies and thesauri 3. Thesauri Terminology in classification systems - Terminological languages - Thesauri - Thesauri definitions - Conditions that a thesaurus must fulfil - Historical evolution - Classes of thesauri 4. Thesauri in (cladist) systematics Systematics - Systematics as a noun - Definitions and historic evolution over time - Differences between taxonomy and systematics - Systematics in thesaurus construction theory - Classic, numerical and cladist systematics - Classic systematics in information science - Numerical systematics in information science - Thesauri in cladist systematics - Systematics in information technology - Some examples 5. Thesauri in systems theory Historical evolution - Approach to systems - Systems theory applied to the construction of thesauri - Components - Classes of system - Peculiarities of these systems - Working methods - Systems theory applied to ontologies and taxonomies

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Abstract

In this paper, we describe in detail the Information Content Evaluation Map (ICE-Map Visualization, formerly referred to as IC Difference Analysis). The ICE-Map Visualization is a visual data mining approach for all kinds of concept hierarchies that uses statistics about the concept usage to help a user in the evaluation and maintenance of the hierarchy. It consists of a statistical framework that employs the the notion of information content from information theory, as well as a visualization of the hierarchy and the result of the statistical analysis by means of a treemap.

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Abstract

During the BMWI granted project "Print-IT", the need of a thesaurus based uniform and consistent language for the German printing industry became evident. In this paper we introduce a semi-automatic construction approach for such a thesaurus and present a workflow which supports users to generate thesaurus typical information structures from relevant digitalized resources with the help of common IT-tools.

Source

Re:inventing information science in the networked society: Proceedings of the 14th International Symposium on Information Science, Zadar/Croatia, 19th-21st May 2015. Eds.: F. Pehar, C. Schloegl u. C. Wolff

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Abstract

This paper explores the relationships between natural language lexicons in lexical semantics and thesauri in information retrieval research. These different areas of knowledge have different restrictions on use of vocabulary; thesauri are used only in information search and retrieval contexts, whereas lexicons are mental systems and generally applicable in all domains of life. A set of vocabulary requirements that defines the more concrete characteristics of vocabulary items in the 2 contexts can be derived from this framework: lexicon items have to be learnable, complex, transparent, etc., whereas thesaurus terms must be effective, current and relevant, searchable, etc. The differences in vocabulary properties correlate with 2 other factors, the well-known dimension of Control (deliberate, social activities of building and maintaining vocabularies), and Syntagmatization, which is less known and describes vocabulary items' varying formal preparedness to exit the thesaurus/lexicon, enter into linear syntactic constructions, and, finally, acquire communicative functionality. It is proposed that there is an inverse relationship between Control and Syntagmatization.

Source

Journal of the Association for Information Science and Technology. 68(2017) no.6, S.1480-1490

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Abstract

In the post-war period before computers were readily available, urgent demand for scientific and industrial develop-ment stimulated research and development (R&D) that led to the birth of the information retrieval thesaurus. This article traces the early history, speciation and progressive improvement of the thesaurus to reach the state now conveyed by guidelines in inter-national and national standards. Despite doubts about the effec-tiveness of the thesaurus throughout this period, and notwith-standing the dominance of Google and other search engines in the information retrieval (IR) scene today, the thesaurus still plays a complementary part in the organization of knowledge and in-formation resources. Success today depends on interoperability, and is opening up opportunities in linked data applications. At the same time, the IR demand from workers in the knowledge society drives interest in hybrid forms of knowledge organization system (KOS) that may pool the genes of thesauri with those of ontologies and classification schemes.

Object

Information Retrieval Thesaurus

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Abstract

"Clearly details the conceptual and practical notions of controlled vocabularies. . provides a crash course for newcomers and offers experienced practitioners a common frame of reference. A valuable book." - Christine Connors, TriviumRLG LLC The Accidental Taxonomist is the most comprehensive guide available to the art and science of building information taxonomies. Heather Hedden-one of today's leading writers, instructors, and consultants on indexing and taxonomy topics-walks readers through the process, displaying her trademark ability to present highly technical information in straightforward, comprehensible English. Drawing on numerous real-world examples, Hedden explains how to create terms and relationships, select taxonomy management software, design taxonomies for human versus automated indexing, manage enterprise taxonomy projects, and adapt taxonomies to various user interfaces. The result is a practical and essential guide for information professionals who need to effectively create or manage taxonomies, controlled vocabularies, and thesauri. "A wealth of descriptive reference content is balanced with expert guidance. . Open The Accidental Taxonomist to begin the learning process or to refresh your understanding of the depth and breadth of this demanding discipline." - Lynda Moulton, Principal Consultant, LWM Technology Services "From the novice taxonomist to the experienced professional, all will find helpful, practical advice in The Accidental Taxonomist." - Trish Yancey, TCOO, Synaptica, LLC "This book squarely addresses the growing demand for and interest in taxonomy. ...Hedden brings a variety of background experience, including not only taxonomy construction but also abstracting and content categorization and creating back-of-the-book indexes. These experiences serve her well by building a broad perspective on the similarities as well as real differences between often overlapping types of work." - Marjorie M. K. Hlava, President and Chairman, Access Innovations, Inc., and Chair, SLA Taxonomy Division

Imprint

Medford, NJ : Information Today

LCSH

Information organization
Cross References (Information Retrieval)

Subject

Information organization
Cross References (Information Retrieval)

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Abstract

When consumers search for health information, a major obstacle is their unfamiliarity with the medical terminology. Even though medical thesauri such as the Medical Subject Headings (MeSH) and related tools (e.g., the MeSH Browser) were created to help consumers find medical term definitions, the lack of direct and explicit integration of these help tools into a health retrieval system prevented them from effectively achieving their objectives. To explore this issue, we conducted an empirical study with two systems: One is a simple interface system supporting query-based searching; the other is an augmented system with two new components supporting MeSH term searching and MeSH tree browsing. A total of 45 subjects were recruited to participate in the study. The results indicated that the augmented system is more effective than the simple system in terms of improving user-perceived topic familiarity and question-answer performance, even though we did not find users spend more time on the augmented system. The two new MeSH help components played a critical role in participants' health information retrieval and were found to allow them to develop new search strategies. The findings of the study enhanced our understanding of consumers' search behaviors and shed light on the design of future health information retrieval systems.

Source

Information processing and management. 50(2014) no.1, S.24-40

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Abstract

The recent ISKO-UK conference considered the question of whether the traditional thesaurus has any place in modern information retrieval. This note is intended to continue in the spirit of that good-natured debate, arguing that there is indeed a role today and highlighting some recent work showing the continued relevance of the thesaurus, particularly in the linked data area. Key functionality that a thesaurus makes possible is discussed. A brief outline is provided of prominent work hat employs thesauri in three key areas of infrastructure underpinning advanced retrieval functionality today: metadata enrichment,vocabulary mapping and web services.

Content

Beitrag in einem Special issue: The Great Debate: "This House Believes that the Traditional Thesaurus has no Place in Modern Information Retrieval." [19 February 2015, 14:00-17:30 preceded by ISKO UK AGM and followed by networking, wine and nibbles; vgl.: http://www.iskouk.org/content/great-debate].

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Abstract

Various kinds of knowledge organisation, such as thesauri, are routinely used to label or tag multimedia content such as images and music and to support information retrieval, i.e. user search for such content. In this paper, we outline why this is the case, in particular focusing on the semantic gap between content and concept based multimedia retrieval. We survey some indexing vocabularies used for multimedia retrieval, and argue that techniques such as thesauri will be needed for the foreseeable future in order to support users in their need for multimedia content. In particular, we argue that artificial intelligence techniques are not mature enough to solve the problem of indexing multimedia conceptually and will not be able to replace human indexers for the foreseeable future.

Content

Beitrag in einem Special issue: The Great Debate: "This House Believes that the Traditional Thesaurus has no Place in Modern Information Retrieval." [19 February 2015, 14:00-17:30 preceded by ISKO UK AGM and followed by networking, wine and nibbles; vgl.: http://www.iskouk.org/content/great-debate].

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Abstract

This paper illustrates the changing role of thesauri interlinked with overall changes of modern information infrastructure services, referring to "STW Thesaurus for Economics" as a case study. It starts with an overview of the history and development of the STW and describes the far-reaching changes brought about by its publication on the Web, with regard to subject indexing, retrieval and new uses for Linked Open Data. It argues that only the most recent technological developments help thesauri to exploit their full potential which is why they more than ever have a place in current information retrieval and infrastructure.

Content

Beitrag in einem Special issue: The Great Debate: "This House Believes that the Traditional Thesaurus has no Place in Modern Information Retrieval." [19 February 2015, 14:00-17:30 preceded by ISKO UK AGM and followed by networking, wine and nibbles; vgl.: http://www.iskouk.org/content/great-debate].

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Abstract

Much of the literature of information science and knowledge organization has accepted and built upon Elaine Svenonius's (2004) claim that "paradigmatic relationships are those that are context-free, definitional, and true in all possible worlds" (p. 583). At the same time, the literature demonstrates a common understanding that paradigmatic relations are the kinds of semantic relations used in thesauri and other knowledge organization systems (including equivalence relations, hierarchical relations, and associative relations). This understanding is problematic and harmful because it directs attention away from the empirical and contextual basis for knowledge-organizing systems. Whether A is a kind of X is certainly not context-free and definitional in empirical sciences or in much everyday information. Semantic relations are theory-dependent and, in biology, for example, a scientific revolution has taken place in which many relations have changed following the new taxonomic paradigm named "cladism." This biological example is not an exception, but the norm. Semantic relations including paradigmatic relations are not a priori but are dependent on subject knowledge, scientific findings, and paradigms. As long as information scientists and knowledge organizers isolate themselves from subject knowledge, knowledge organization cannot possibly progress.

Source

Journal of the Association for Information Science and Technology. 66(2015) no.7, S.1367-1373

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Abstract

ISO 25964-2:2013 is applicable to thesauri and other types of vocabulary that are commonly used for information retrieval. It describes, compares and contrasts the elements and features of these vocabularies that are implicated when interoperability is needed. It gives recommendations for the establishment and maintenance of mappings between multiple thesauri, or between thesauri and other types of vocabularies.

Content

Part 1: Thesauri for information retrieval.

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Abstract

The introduction (1.0) of this article considers the status of the thesaurus within LIS and asks about the future prospect for thesauri. The main following points are: (2.0) Any knowledge organization system (KOS) is today threatened by Google-like systems, and it is therefore important to consider if there still is a need for knowledge organization (KO) in the traditional sense. (3.0) A thesaurus is a somewhat reduced form of KOS compared to, for example, an ontology, and its "bundling" and restricted number of semantic relations has never been justified theoretically or empirically. Which semantic relations are most fruitful for a given task is thus an open question, and different domains may need different kinds of KOS including different sets of relations between terms. (4.0) A KOS is a controlled vocabulary (CV) and should not be considered a "perfect language" (Eco 1995) that is simply able to remove the ambiguity of natural language; rather much ambiguity in language represents a battle between many "voices" (Bakhtin 1981) or "paradigms" (Kuhn 1962). In this perspective, a specific KOS, e.g. a specific thesaurus, is just one "voice" among many voices, and that voice has to demonstrate its authority and utility. It is concluded (5.0) that the traditional thesaurus does not have a place in modern information retrieval, but that more flexible semantic tools based on proper studies of domains will always be important.

Content

Beitrag in einem Special issue: The Great Debate: "This House Believes that the Traditional Thesaurus has no Place in Modern Information Retrieval." [19 February 2015, 14:00-17:30 preceded by ISKO UK AGM and followed by networking, wine and nibbles; vgl.: http://www.iskouk.org/content/great-debate].

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Abstract

Thesauri have triumphed in many domains that require precise and exhaustive information because of their representational power, their capability to integrate the concept-based and alphabetical approaches to organizing information, and their standardization and, more recently, formalization. Nevertheless, there is room to improve their relevance in the digital age by embracing the open linked data initiatives and by taking advantage of their structural and functional proximity to some of the big collaborative knowledge repositories in the Internet, notably the Wikipedia environment. With a focus on its implications for enhanced interoperability, this structural proximity is analysed, and the benefits of such collaboration for the different potential stakeholders are considered. It is proposed that better devices for ensuring semantic browsing are provided when necessary, and that an open hub for thesauri interconnection is developed, perhaps using existing big open Internet semantic facilities, such as Wikipedia.

Content

Beitrag in einem Special issue: The Great Debate: "This House Believes that the Traditional Thesaurus has no Place in Modern Information Retrieval." [19 February 2015, 14:00-17:30 preceded by ISKO UK AGM and followed by networking, wine and nibbles; vgl.: http://www.iskouk.org/content/great-debate].

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Abstract

A thesaurus contains a set of terms or features that may be used to represent recorded information, including prose documents or scientific data sets. The focus of this work is on the basic structural nature of a thesaurus itself, not on how people develop a thesaurus or how a thesaurus effects retrieval performance. Thesauri in this research are automatically developed in a simulation from sets of randomly or exhaustively generated documents. Each thesaurus is generated by the Thesaurus Generator software from a set of several hundred documents, and thousands of different document sets are used as input to the Thesaurus Generator, producing thousands of thesauri. Thus, thousands of thesauri are generated for each data point in accompanying graphs. The characteristics of this large number of thesauri are studied so that the relationships between thesaurus parameters can be determined. Some rules governing these relationships are suggested, addressing factors such as tree height and width, number of tree roots in thesauri, and number of terms available for the vocabulary. How these parameters scale as vocabularies grow is addressed. These results apply to various information systems that contain features with hierarchical relationships, including many thesauri and ontologies.

Source

Journal of the Association for Information Science and Technology. 67(2016) no.9, S.2156-2165