Search results

Design and construction of indexing languages require thorough knowledge and understanding of the information environment. This empirical study investigated a mixed set of methods (group interviews, recollection of information needs and word association tests to collect data; content analysis and discourse analysis to analyse data) to evaluate whether these methods collected the data needed for work domain oriented thesaurus design. The findings showed that the study methods together provided the domain knowledge needed to define the role of the thesaurus and design its content and structure. The study was carried out from a person‐insituation perspective. The findings reflected the information environment and made it possible to develop a thesaurus according to the characteristics of the work domain. It seemed more difficult to capture the needs of the individual user and adapt the thesaurus to individual characteristics.

Traditional subject indexing and classification are considered infeasible in many digital collections. This paper seeks to investigate ways of enhancing social tagging via knowledge organization systems, with a view to improving the quality of tags for increased information discovery and retrieval performance.

Enhanced tagging interfaces were developed for exemplar online repositories, and trials were undertaken with author and reader groups to evaluate the effectiveness of tagging augmented with control vocabulary for subject indexing of papers in online repositories.

The results showed that using a knowledge organisation system to augment tagging does appear to increase the effectiveness of non‐specialist users (that is, without information science training) in subject indexing.

While limited by the size and scope of the trials undertaken, these results do point to the usefulness of a mixed approach in supporting the subject indexing of online resources.

The value of this work is as a guide to future developments in the practical support for resource indexing in online repositories.

Purpose – The purpose of this chapter is to explore whether and how social tagging can be useful in an information web site for cancer patients and their relatives.

Methodology/approach – Three studies have been carried out in order to investigate the research questions. First, we reviewed and analyzed literature about cancer patients’ information needs and seeking behavior, and about social tagging and patient terminology. Second, we analyzed tags applied to blog postings at Blogomkraeft.dk, a blog site at the Danish information web site Cancer.dk. The tags were compared with the formal browsing structure of Cancer.dk. Results from the two studies were used to develop a prototype for social tagging at Cancer.dk. Thus third, we evaluated the prototype in a usability study.

Findings – We found that tags have the potential to describe and provide access to web site content from the users’ perspective and language use. Social tags may be a means to bridge between scientific viewpoints and terminology and everyday problems and vocabulary. Tags at Blogomkraeft.dk are mainly factual, often detailed, and do not cover as many functions as tags in more general bookmarking systems. An important finding is that some tags seemed to add to and supplement the content instead of factually describing the content of a blog posting. The usability test showed that our test persons liked the tagging feature.

Social implications – Tagging features give the public an opportunity to apply their own terms to documents, reflecting their own model of the current topic. Tags may furthermore function as colloquial lead-in terms from users’ search formulations at search engines such as Google to the domain-specific, tailored cancer web site.

Originality/value – Unlike most research on social tagging so far, we investigate tagging in a domain-specific setting, how tags can improve the interaction and communication between layman users and domain experts in an information web site within health care.

The purpose of this study is twofold: to investigate whether it is meaningful to use the Engineering Index (Ei) classification scheme for browsing, and then, if proven useful, to investigate the performance of an automated classification algorithm based on the Ei classification scheme.

A user study was conducted in which users solved four controlled searching tasks. The users browsed the Ei classification scheme in order to examine the suitability of the classification systems for browsing. The classification algorithm was evaluated by the users who judged the correctness of the automatically assigned classes.

The study showed that the Ei classification scheme is suited for browsing. Automatically assigned classes were on average partly correct, with some classes working better than others. Success of browsing showed to be correlated and dependent on classification correctness.

Further research should address problems of disparate evaluations of one and the same web page. Additional reasons behind browsing failures in the Ei classification scheme also need further investigation.

Improvements for browsing were identified: describing class captions and/or listing their subclasses from start; allowing for searching for words from class captions with synonym search (easily provided for Ei since the classes are mapped to thesauri terms); when searching for class captions, returning the hierarchical tree expanded around the class in which caption the search term is found. The need for improvements of classification schemes was also indicated.

A user‐based evaluation of automated subject classification in the context of browsing has not been conducted before; hence the study also presents new findings concerning methodology.

The purpose of this paper is to explore the potential of applying the Dewey Decimal Classification (DDC) as an established knowledge organization system (KOS) for enhancing social tagging, with the ultimate purpose of improving subject indexing and information retrieval.

Over 11,000 Intute metadata records in politics were used. Totally, 28 politics students were each given four tasks, in which a total of 60 resources were tagged in two different configurations, one with uncontrolled social tags only and another with uncontrolled social tags as well as suggestions from a controlled vocabulary. The controlled vocabulary was DDC comprising also mappings from the Library of Congress Subject Headings.

The results demonstrate the importance of controlled vocabulary suggestions for indexing and retrieval: to help produce ideas of which tags to use, to make it easier to find focus for the tagging, to ensure consistency and to increase the number of access points in retrieval. The value and usefulness of the suggestions proved to be dependent on the quality of the suggestions, both as to conceptual relevance to the user and as to appropriateness of the terminology.

No research has investigated the enhancement of social tagging with suggestions from the DDC, an established KOS, in a user trial, comparing social tagging only and social tagging enhanced with the suggestions. This paper is a final reflection on all aspects of the study.

Several frameworks have been developed to map and document scientific societal interaction and impact, each reflecting the specific forms of impact and interaction that characterize different academic fields. The ReAct taxonomy was developed to register data about “productive interactions” and provide an overview of research activities within the social sciences and humanities (SSH). The purpose of the present research is to examine whether the SSH-oriented taxonomy is relevant to the science, technology, engineering and mathematics (STEM) disciplines when clarifying societal interactions and impact, and whether the taxonomy adds value to the traditional STEM impact indicators such as citation scores and H-index.

The research question was investigated through qualitative interviews with nine STEM researchers. During the interviews, the ReAct taxonomy and visual research profiles based on the ReAct categories were used to encourage and ensure in-depth discussions. The visual research profiles were based on publicly available material on the research activities of the interviewees.

The study provided an insight into how STEM researchers assessed the importance of mapping societal interactions as a background for describing research impact, including which indicators are useful for expressing societal relevance and impact. With regard to the differences between STEM and SSH, the study identified a high degree of cohesion and uniformity in the importance of indicators. Differences were more closely related to the purpose of mapping and impact assessment than between scientific fields. The importance of amalgamation and synergy between academic and societal activities was also emphasised and clarified.

The findings highlight the importance of mapping societal activities and impact, and that societal indicators should be seen as inspiring guidelines depending on purpose and use. A significant contribution is the identification of both uniformity and diversity between the main fields of SSH and STEM, as well as the connection between the choice of indicators and the purpose of mapping, e.g. for impact measurement, profiling, or career development.

The work sheds light on STEM researchers' views on research mapping, visualisation and impact assessment, including similarities and differences between STEM and SSH research.