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Abstract

Purpose A higher level of retrieval relevance along with pertinence is what information systems are required to provide if they are to gain more user satisfaction. Although in almost every IR system, general and non-topical terms are not considered to play a major role in indexing, the underlying assumption of current study stems from the fact that these terms could be effective in better searching by end-users. Thus this paper aims at proposing a new approach in this regard using a small thesaurus of general and non-topical terms which can be used along with queries (i.e., topical keywords). This would help making users' queries closer to natural language. Method In the first phase of this study, a set of 669 non-topical terms, which were identified through a previous study, was assumed as the test bed. Based on the main goal of the present paper, the list was analyzed and divided into major categories. As for the second phase, a preferred label representing each category was selected and assigned based on its "use warrant"; and to this end Google Trends was applied for determining the most-frequent general and non-topical terms among users' web searches. At last the developed thesaurus was tested in searching and the retrieved results were evaluated in terms of relevance and pertinence. Results The findings of this study show that, although there is rather a diverse range of general and non-topical terms appearing before or after topical keywords in Web documents, users are still using no or only a small fracture of them in their search queries. The findings also show that these terms would be of great assistance in providing more relevant results and a meaningful display of the results. This paper then proposes a conceptual model for applying such a thesaurus in searching the Web.

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

It is widely accepted that subject indexing of an image is based on a two-dimensional approach. The first is the ofness and the second focuses on aboutness of the image. Assigning a suitable set of subject tags based on these two groups depends, to a great deal, on users' perception of the image. This study aims at analyzing users' perception of aboutness and ofness of images. 25 in-depth semi-structured interviews were conducted in two phases. In the first phase a collection of 10 widely known photographs were given to the interviewees and they were asked to assign subject tags (as many as they wanted) to each image. In the second phase some facts regarding each image were given to him / her to assign further tags (again as many as they wanted) or even modify their previous tags. The results show that the interviewees do focus both on ofness and aboutness in subject tagging; but it seems that they emphasize more on aboutness in describing images. On the other hand, as soon as the interviewees were able to distinguish the iconographical ofness, they could speak of iconographical and iconological aboutness. The results also show that subject indexers must focus on the iconographical level, especially regarding those tags which represent the ofness at this level.