Search (5 results, page 1 of 1)

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Abstract

Efforts towards internationalization have become increasingly important in scientific environments. As for content-based indexing of scientific research data, however, standards leading to internationally coherent indexing which is vital for retrieval purposes are not yet sufficiently developed. Even concerning the concrete use of indexing instruments, launched by initiatives on an international scale, there are still no binding policies and guidelines. Against this backdrop, essential criteria which internationally applicable indexing systems should meet will be outlined. These will be illustrated through the multilingual European Language Social Science Thesaurus (ELSST), originally based on the UK Data Archive's (UKDA) Humanities and Social Science Electronic Thesaurus (HASSET) and ultimately developed by the Council of European Social Science Data Archives (CESSDA). Additionally, the general pros and cons of using international versus national indexing languages will be weighed using the ELSST and the Thesaurus for the Social Sciences (TSS) developed by GESIS - Leibniz-Institute for the Social Sciences. In this light, the benefit of vocabulary crosswalks for supporting a combined use of international and national indexing systems will be discussed.

Theme

Konzeption und Anwendung des Prinzips Thesaurus

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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].

Object

STW Thesaurus

Theme

Konzeption und Anwendung des Prinzips Thesaurus

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Abstract

Crosswalks between different vocabularies are an indispensable prerequisite for integrated and high quality search scenarios in distributed data environments. Offered through the web and linked with each other they act as a central link so that users can move back and forth between different data sources available online. In the past, crosswalks between different thesauri have primarily been developed manually. In the long run the intellectual updating of such crosswalks requires huge personnel expenses. Therefore, an integration of automatic matching procedures, as for example Ontology Matching Tools, seems an obvious need. On the basis of computer generated correspondences between the Thesaurus for Economics (STW) and the Thesaurus for the Social Sciences (TheSoz) our contribution will explore cross-border approaches between IT-assisted tools and procedures on the one hand and external quality measurements via domain experts on the other hand. The techniques that emerge enable semi-automatically performed vocabulary crosswalks.

Object

Thesaurus Sozialwissenschaften
Standard Thesaurus Wirtschaft

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Abstract

Crosswalks between different vocabularies are an indispensable prerequisite for integrated, high-quality search scenarios in distributed data environments where more than one controlled vocabulary is in use. Offered through the web and linked with each other they act as a central link so that users can move back and forth between different online data sources. In the past, crosswalks between different thesauri have usually been developed manually. In the long run the intellectual updating of such crosswalks is expensive. An obvious solution would be to apply automatic matching procedures, such as the so-called ontology matching tools. On the basis of computer-generated correspondences between the Thesaurus for the Social Sciences (TSS) and the Thesaurus for Economics (STW), our contribution explores the trade-off between IT-assisted tools and procedures on the one hand and external quality evaluation by domain experts on the other hand. This paper presents techniques for semi-automatic development and maintenance of vocabulary crosswalks. The performance of multiple matching tools was first evaluated against a reference set of correct mappings, then the tools were used to generate new mappings. It was concluded that the ontology matching tools can be used effectively to speed up the work of domain experts. By optimizing the workflow, the method promises to facilitate sustained updating of high-quality vocabulary crosswalks.

Object

Thesaurus Wirtschaft
Thesaurus Sozialwissenschaften

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Abstract

In economics there exists an internationally established classification system. Research literature is usually classified according to the JEL classification codes, a classification system originated by the Journal of Economic Literature and published by the American Economic Association (AEA). Complementarily to keywords which are usually assigned freely, economists widely use the JEL codes when classifying their publications. In cooperation with KU Leuven, ZBW - Leibniz Information Centre for Economics has published an unofficial multilingual version of JEL in SKOS format. In addition to this, exists the STW Thesaurus for Economics a bilingual domain-specific controlled vocabulary maintained by the German National Library of Economics (ZBW). Developed in the mid-1990s and since then constantly updated according to the current terminology usage in the latest international research literature in economics it covers all sub-fields both in the economics as well as in business economics and business practice containing subject headings which are clearly delimited from each other. It has been published on the web as Linked Open Data in the year 2009.