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Jones, S.; Browning, L.: ¬The Utlas database design, content and services (1988)
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- Abstract
- Describes the Utlas database with specific reference 10 its design, file structure and content. Means of access to the database, and products and services supported by the database, are addressed, along with interfaces to local systems. The interaction between bibliographic and authority records is also described.
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Makri, S.; Hsueh, T.-L.; Jones, S.: Ideation as an intellectual information acquisition and use context : investigating game designers' information-based ideation behavior (2019)
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- Abstract
- Human Information Behavior (HIB) research commonly examines behavior in the context of why information is acquired and how it will be used, but usually at the level of the work or everyday-life tasks the information will support. HIB has not been examined in detail at the broader contextual level of intellectual purpose (that is, the higher-order conceptual tasks the information was acquired to support). Examination at this level can enhance holistic understanding of HIB as a "means to an intellectual end" and inform the design of digital information environments that support information interaction for specific intellectual purposes. We investigate information-based ideation (IBI) as a specific intellectual information acquisition and use context by conducting Critical Incident-style interviews with 10 game designers, focusing on how they interact with information to generate and develop creative design ideas. Our findings give rise to a framework of their ideation-focused HIB, which systems designers can leverage to reason about how best to support certain behaviors to drive design ideation. These findings emphasize the importance of intellectual purpose as a driver for acquisition and desired outcome of use.
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Jones, S.: Query modelling for IR interface design (1995)
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Beaulieu, M.; Jones, S.: Interactive searching and interface issues in the Okapi best match probabilistic retrieval system (1998)
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- Abstract
- Explores interface design raised by the development and evaluation of Okapi, a highly interactive information retrieval system based on a probabilistic retrieval model with relevance feedback. It uses terms frequency weighting functions to display retrieved items in a best match ranked order; it can also find additional items similar to those marked as relevant by the searcher. Compares the effectiveness of automatic and interactive query expansion in different user interface environments. focuses on the nature of interaction in information retrieval and the interrelationship between functional visibility, the user's cognitive loading and the balance of control between user and system
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Jones, S.: Peeling the onion : Okapi system architecture and software design issues (1997)
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Jones, S.: ¬A thesaurus data model for an intelligent retrieval system (1993)
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- Abstract
- This paper demonstrates the application of conventional database design techniques to thesaurus representation. The thesaurus is considered as a printed document, as a semantic net, and as a relational database to be used in conjunction with an intelligent information retrieval system. Some issues raised by analysis of two standard thesauri include: the prevalence of compound terms and the representation of term structure; thesaurus redundancy and the extent to which it can be eliminated in machine-readable versions; the difficulty of exploiting thesaurus knowledge originally designed for human rather than automatic interpretation; deriving 'strength of association' measures between terms in a thesaurus considered as a semantic net; facet representation and the need for variations in the data model to cater for structural differences between thesauri. A complete schema of database tables is presented, with an outline suggestion for using the stored information when matching one or more thesaurus terms with a user's query
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Vakkari, P.; Jones, S.; MacFarlane, A.; Sormunen, E.: Query exhaustivity, relevance feedback and search success in automatic and interactive query expansion (2004)
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- Abstract
- This study explored how the expression of search facets and relevance feedback (RF) by users was related to search success in interactive and automatic query expansion in the course of the search process. Search success was measured both in the number of relevant documents retrieved, whether identified by users or not. Research design consisted of 26 users searching for four TREC topics in Okapi IR system, half of the searchers using interactive and half automatic query expansion based on RF. The search logs were recorded, and the users filled in questionnaires for each topic concerning various features of searching. The results showed that the exhaustivity of the query was the most significant predictor of search success. Interactive expansion led to better search success than automatic expansion if all retrieved relevant items were counted, but there was no difference between the methods if only those items recognised relevant by users were observed. The analysis showed that the difference was facilitated by the liberal relevance criterion used in TREC not favouring highly relevant documents in evaluation.
