Search (16 results, page 1 of 1)

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Abstract

Argues that Beghtol's (2003) use of the terms "naive classification" and "professional classification" is valid because they are nominal definitions and that the distinction between these two types of classification points up the need for researchers in knowledge organization to broaden their scope beyond traditional classification systems intended for information retrieval. Argues that work by Beghtol (2003), Kwasnik (1999) and Bailey (1994) offer direction for the development of a classification of classifications based on the pragmatic dimensions of extant classification systems. Bezugnahme auf: Beghtol, C.: Naïve classification systems and the global information society. In: Knowledge organization and the global information society: Proceedings of the 8th International ISKO Conference 13-16 July 2004, London, UK. Ed.: I.C. McIlwaine. Würzburg: Ergon Verlag 2004. S.19-22. (Advances in knowledge organization; vol.9)

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Abstract

LIS genre studies have suggested that representing the genre of a resource could provide better knowledge representation, organization and retrieval (e.g., Andersen, 2008; Crowston & Kwasnik, 2003). Beghtol (2001) argues that genre analysis could be a useful tool for creating a "framework of analysis for a domain ... [to] structure and interpret texts, events, ideas, decisions, explanations and every other human activity in that domain" (p. 19). Although some studies of user-generated tagging vocabularies have found a preponderance of content-related tags (e.g., Munk & Mork, 2007), Lamere's (2008) study of the most frequently applied tags at Last.fm found that tags representing musical genres were favored by taggers. Studies of user-generated genre tags suggest that, unlike traditional indexing, which generally assigns a single genre, users' assignments of genre-related tags provide better representation of the fuzziness at the boundaries of genre categories (Inskip, 2009). In this way, user-generated genre tags are more in line with Bakhtin's (Bakhtin & Medvedev, 1928/1985) conceptualization of genre as an "aggregate of the means for seeing and conceptualizin reality" (p. 137). For Bakhtin (1986), genres are kinds of practice characterized by their "addressivity" (p. 95): Different genres correspond to different "conceptions of the addressee" and are "determined by that area of human activity and everyday life to which the given utterance is related" (p.95). Miller (1984) argues that genre refers to a "conventional category of discourse based in large-scale typification of rhetorical action; as action, it acquires meaning from situation and from the social context in which that situation arose" (p. 163). Genre is part of a social context that produces, reproduces, modifies and ultimately represents a particular text, but how to reunite genre and situation (or text and context) in systems of knowledge organization has not been addressed. Based on Devitt's (1993) argument suggesting that "our construction of genre is what helps us to construct a situation" (p. 577), one way to represent genre as "typified rhetorical actions based in recurrent situations" (Miller, 1984, p. 159) would be to employ genre tags generated by a particular group or community of users. This study suggests application of social network analysis to detect communities (Newman, 2006) of genre taggers and argues that communities of genre taggers can better define the nature and constitution of a discourse community while simultaneously shedding light on multifaceted representations of the resource genres.

Source

Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik

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Abstract

Attempts to automate classification have focused on mimicking the intellectual processes whereby human classifiers assign entities to mutually exclusive groups that exhibit or more shared characteristics. A more viable approach might be to construct an adaptive retrieval system that produces groupings of related entities by generating dynamic categories based on document content and on the system's emergent structure as it adapts to modifications in the database and to observed patterns of access. Presents a theoretical model for adaptive information networks using relevance feedback and genetic algorithms to generate emergent structure

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Abstract

Social tagging is one of the major phenomena transforming the World Wide Web from a static platform into an actively shared information space. This paper addresses various aspects of social tagging, including different views on the nature of social tagging, how to make use of social tags, and how to bridge social tagging with other Web functionalities; it discusses the use of facets to facilitate browsing and searching of tagging data; and it presents an analogy between bibliometrics and tagometrics, arguing that established bibliometric methodologies can be applied to analyze tagging behavior on the Web. Based on the Upper Tag Ontology (UTO), a Web crawler was built to harvest tag data from Delicious, Flickr, and YouTube in September 2007. In total, 1.8 million objects, including bookmarks, photos, and videos, 3.1 million taggers, and 12.1 million tags were collected and analyzed. Some tagging patterns and variations are identified and discussed.

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Abstract

Data integration and mediation have become central concerns of information technology over the past few decades. With the advent of the Web and the rapid increases in the amount of data and the number of Web documents and users, researchers have focused on enhancing the interoperability of data through the development of metadata schemes. Other researchers have looked to the wealth of metadata generated by bookmarking sites on the Social Web. While several existing ontologies have capitalized on the semantics of metadata created by tagging activities, the Upper Tag Ontology (UTO) emphasizes the structure of tagging activities to facilitate modeling of tagging data and the integration of data from different bookmarking sites as well as the alignment of tagging ontologies. UTO is described and its utility in modeling, harvesting, integrating, searching, and analyzing data is demonstrated with metadata harvested from three major social tagging systems (Delicious, Flickr, and YouTube).

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Source

Exploring the contexts of information behaviour: Proceedings of the 2nd International Conference on Research in Information Needs, Seeking and Use in Different Contexts, Sheffield, UK, 1998. Ed. by D.K. Wilson u. D.K. Allen

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Abstract

Usability of Web sites has become an increasingly important area of research as Web sites proliferate and problems with use are noted. Generally, aspects of Web sites that have been investigated focus on such areas as overall design and navigation. The exploratory study reported on here investigates one specific component of a Web site-the index structure. By employing index usability metrics developed by Liddy and Jörgensen (1993; Jörgensen & Liddy, 1996) and modified to accommodate a hypertext environment, the study compared the effectiveness and efficiency of 20 subjects who used one existing index (the A-Z index on the FedStats Web site at http://www.fedstats.gov) and three experimental variants to complete five researcher-generated tasks. User satisfaction with the indexes was also evaluated. The findings indicate that a hypertext index with multiple access points for each concept, all linked to the same resource, led to greater effectiveness and efficiency of retrieval on almost all measures. Satisfaction measures were more variable. The study offers insight into potential improvements in the design of Web-based indexes and provides preliminary assessment of the validity of the measures employed

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Date

5. 9.2014 16:22:27

Source

Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik

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Pages

S.16-22

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Abstract

One major aspect of T.D. Wilson's research has been his insistence on situating the investigation of information behaviour within the context of its occurrence - within the everyday world of work. The significance of this approach is reviewed in light of the notion of embodied cognition that characterises the evolving theoretical episteme in cognitive science research. Embodied cognition employs complex external props such as stigmergic structures and cognitive scaffoldings to reduce the cognitive burden on the individual and to augment human problem-solving activities. The cognitive function of the classification scheme is described as exemplifying both stigmergic structures and cognitive scaffoldings. Two different but complementary approaches to the investigation of situated cognition are presented: cognition-as-scaffolding and cognition-as-infrastructure. Classification-as-scaffolding views the classification scheme as a knowledge storage device supporting and promoting cognitive economy. Classification-as-infrastructure views the classification system as a social convention that, when integrated with technological structures and organisational practices, supports knowledge management work. Both approaches are shown to build upon and extend Wilson's contention that research is most productive when it attends to the social and organisational contexts of cognitive activity by focusing on the everyday world of work.

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Date

10. 9.2000 17:38:22

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Abstract

This paper describes work in progress to identify automated methods to complement and streamline the intellectual process in the generation of faceted schemes. It reports on the development of the word pair heuristic, the suffix heuristic, and the WordNet heuristic, and how the three heuristics integrate to produce an initial organization of terms from which a classificationist can more efficiently construct a faceted vocabulary.

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Abstract

Research on categories indicates that superordinate categories lack informativeness because they are represented by only a few attributes while subordinate categories lack cognitive economy because they are represented by too many attributes (e.g., Rosch, Mervis, Gray, Johnson, & Boyes-Braem, 1976). Basic level categories balance informativeness and cognitive economy: They represent the most attributes common to category members and the fewest attributes shared across categories. Green (2006) has suggested that the universality of basic level categories can be used for building crosswalks between classificatory systems. However, studies of basic level categories in KO systems have assumed that the notion of a basic level category is understood and have failed to operationalize the notion of "basic level category" before applying it in the analysis of user-generated vocabularies. Heidegger's (1953/1996) notion of handiness (i.e., zuhandenheit, or being "at hand" can provide a framework for understanding the unstable and relational nature of basic level categories and for operationalizing basic level categories in KO research.

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Abstract

Search statements in this revision process can be viewed as a 'move' in the overall search strategy. Very little is known about how end users develop and revise their search strategies. A study was conducted to analyse the moves made in 244 data base searches conducted by 26 medical students at the University of North Carolina at Chapel Hill. Students search INQUIRER, a data base of facts and concepts in microbiology. The searches were conducted during a 3-week period in spring 1990 and were recorded by the INQUIRER system. Each search statement was categorised, using Fidel's online searching moves (S. Online review 9(1985) S.61-74) and Bates' search tactics (s. JASIS 30(1979) S.205-214). Further analyses indicated that the most common moves were Browse/Specity, Select Exhaust, Intersect, and Vary, and that selection of moves varied by student and by problem. Analysis of search tactics (combinations of moves) identified 5 common search approaches. The results of this study have implcations for future research on search behaviours, for thedesign of system interfaces and data base structures, and for the training of end users

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Abstract

On the possible role of classification schemes in the production of knowledge in organizations