Search (10 results, page 1 of 1)

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Abstract

This is a short, but very thorough and very interesting, report on how the writers built a faceted classification for some legal information and used it to structure a web site with navigation and searching. There is a good summary of why facets work well and how they fit into bibliographic control in general. The last section is about their implementation of a web site for the Washington State Bar Association's Council for Legal Public Education. Their classification uses three facets: Purpose (the general aim of the document, e.g. Resources for K-12 Teachers), Topic (the subject of the document), and Type (the legal format of the document). See Example Web Sites, below, for a discussion of the site and a problem with its design.

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Abstract

In the present work we discuss opportunities, problems, tools and techniques encountered when interconnecting discipline-specific subject classifications, primarily organized as search devices in bibliographic databases, with general classifications originally devised for book shelving in public libraries. We first state the fundamental distinction between topical (or subject) classifications and object classifications. Then we trace the structural limitations that have constrained subject classifications since their library origins, and the devices that were used to overcome the gap with genuine knowledge representation. After recalling some general notions on structure, dynamics and interferences of subject classifications and of the objects they refer to, we sketch a synthetic overview on discipline-specific classifications in Mathematics, Computing and Physics, on one hand, and on general classifications on the other. In this setting we present The Scientific Classifications Page, which collects groups of Web pages produced by a pool of software tools for developing hypertextual presentations of single or paired subject classifications from sequential source files, as well as facilities for gathering information from KWIC lists of classification descriptions. Further we propose a concept-oriented methodology for interconnecting subject classifications, with the concrete support of a relational analysis of the whole Mathematics Subject Classification through its evolution since 1959. Finally, we recall a very basic method for interconnection provided by coreference in bibliographic records among index elements from different systems, and point out the advantages of establishing the conditions of a more widespread application of such a method. A part of these contents was presented under the title Mathematics Subject Classification and related Classifications in the Digital World at the Eighth International Conference Crimea 2001, "Libraries and Associations in the Transient World: New Technologies and New Forms of Cooperation", Sudak, Ukraine, June 9-17, 2001, in a special session on electronic libraries, electronic publishing and electronic information in science chaired by Bernd Wegner, Editor-in-Chief of Zentralblatt MATH.

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Object

USMARC for classification data

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Object

UNIMARC for classification data

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Date

22. 8.2009 12:54:24

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Abstract

This document describes in brief how to express the content and structure of a classification scheme, and metadata about a classification scheme, in RDF using the SKOS vocabulary. RDF allows data to be linked to and/or merged with other RDF data by semantic web applications. The Semantic Web, which is based on the Resource Description Framework (RDF), provides a common framework that allows data to be shared and reused across application, enterprise, and community boundaries. Publishing classifications schemes in SKOS will unify the great many of existing classification efforts in the framework of the Semantic Web.

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Abstract

In this paper, we present Dynamic Category Sets, a novel approach that addresses the vocabulary problem for faceted data. In their paper on the vocabulary problem, Furnas et al. note that "the keywords that are assigned by indexers are often at odds with those tried by searchers." Faceted search systems exhibit an interesting aspect of this problem: users do not necessarily understand an information space in terms of the same facets as the indexers who designed it. Our approach addresses this problem by employing a data-driven approach to discover sets of values across multiple facets that best match the query. When there are multiple candidates, we offer a clarification dialog that allows the user to disambiguate them.

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Source

http://www.xml.com/lpt/a/2003/01/22/xfml.html

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Date

22. 6.2002 19:35:09

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Abstract

The term "facet" has been used in various places, while in most cases it is just a buzz word to replace what is indeed "aspect" or "category". The references below either define and explain the original concept of facet or provide guidelines for building 'real' faceted search/browse. I was interested in faceted classification because it seems to be a natural and efficient way for organizing and browsing Web collections. However, to automatically generate facets and their isolates is extremely difficult since it involves concept extraction and concept grouping, both of which are difficult problems by themselves. And it is almost impossible to achieve mutually exclusive and jointly exhaustive 'true' facets without human judgment. Nowadays, faceted search/browse widely exists, implicitly or explicitly, on a majority of retail websites due to the multi-aspects nature of the data. However, it is still rarely seen on any digital library sites. (I could be wrong since I haven't kept myself updated with this field for a while.)