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  • × author_ss:"Chaudhry, A.S."
  1. Chaudhry, A.S.; Ashoor, S: Functional performance of automated systems : a comparative study of HORIZON, INNOPAC and VTLS (1998) 0.04
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    Abstract
    Provides functional performance data drawn from an analysis of the capabilities and functionality of 3 major library automation systems: HORIZON, INNOPAC and Virginia Tech Library System (VTLS). The assessment was based on vendor input as well as on feedback from libraries of different types from different parts of the world. Objective criteria based on a numerical scoring scheme was used to assess system performance in 6 major functional areas: acquisition; cataloguing; circulation; OPAC; reference and information services; and serials control. The functional performance data is expected to be useful for libraries loking for new systems as well as those already computerised and interested in enhancing their present systems. In addition, data on the extent of the utilisation of system capabilities by libraries should also be of interest to system vendors
    Date
    22. 2.1999 14:03:24
  2. Shafique, M.; Chaudhry, A.S.: Intelligent agent-based online information retrieval (1995) 0.02
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    Abstract
    Describes an intelligent agent based information retrieval model. The relevance matrix used by the intelligent agent consists of rows and columns; rows represent the documents and columns are used for keywords. Entries represent predetermined weights of keywords in documents. The search/query vector is constructed by the intelligent agent through explicit interaction with the user, using an interactive query refinement techniques. With manipulation of the relevance matrix against the search vector, the agent uses the manipulated information to filter the document representations and retrieve the most relevant documents, consequently improving the retrieval performance. Work is in progress on an experiment to compare the retrieval results from a conventional retrieval model and an intelligent agent based retrieval model. A test document collection on artificial intelligence has been selected as a sample. Retrieval tests are being carried out on a selected group of researchers using the 2 retrieval systems. Results will be compared to assess the retrieval performance using precision and recall matrices
  3. Chaudhry, A.S.; Jiun, T.P.: Enhancing access to digital information resources on heritage : a case of development of a taxonomy at the Integrated Museum and Archives System in Singapore (2005) 0.01
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    Abstract
    Purpose - Due to various historical differences in organising, documenting and managing information across cultural institutions, cross-domain resource discovery in the cultural heritage sector remains problematic. Leveraging on the lessons learnt from current efforts to enhance access to networked digital cultural resources, this paper seeks to explore the development of a taxonomy for the same purpose. Design/methodology/approach - A methodology was developed for the construction of a 500-term taxonomy for a Singapore-based cultural heritage network. Based on this taxonomy, the benefits and problems of developing such a knowledge organisation system for a cultural network are also discussed. Findings - Collecting terms and concepts from various external and internal sources was sufficient to kick-start the taxonomy development process. One of the key aspects of the Integrated Museum and Archives System (IMAS) taxonomy is its ability to show a broad overview of the all the resources held by the National Heritage Board, regardless of originating institution. Originality/value - No single scheme currently best fits the needs of cultural networks, but all can benefit from each other's learning process. The development of the IMAS taxonomy particularly benefited from the insights provided by faceted classification and the possible relationships between terms and concepts in ontology. Such guidelines and recommendations also provide much ground and basis for the NHB to start a framework for standardising documentation practices.
  4. Chaudhry, A.S.; Ling, G.H.: Building taxonomies using organizational resources : a case of business consulting environment (2005) 0.01
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    Abstract
    Taxonomies are becoming an increasingly important tool for companies to effectively manage information, particularly in the business consulting environment, where information is considered a main asset and a key product. This paper describes a case study of developing a taxonomy system for a regional business consulting company. The taxonomy, consisting of 12 main categories and approximately 500 terms, was built based an the existing knowledge structure and information needs of consultants in a selected company. This prototype can be conveniently utilised and adapted by other companies in their efforts to develop their own taxonomy system.
  5. Zhonghong, W.; Chaudhry, A.S.; Khoo, C.: Potential and prospects of taxonomies for content organization (2006) 0.01
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    Abstract
    While taxonomies are being increasingly discussed in published and grey literature, the term taxonomy still seems to be stated quite loosely and obscurely. This paper aims at explaining and clarifying the concept of taxonomy in the context of information organization. To this end, the salient features of taxonomies are identified and their scope, nature, and role are further elaborated based on an extensive literature review. In the meantime, the connection and distinctions between taxonomies and classification schemes and thesauri are also identified, and the rationale that taxonomies are chosen as a viable knowledge organization system used in organization-wide websites to support browsing and aid navigation is clarified.
  6. Wang, Z.; Chaudhry, A.S.; Khoo, C.: Support from bibliographic tools to build an organizational taxonomy for navigation : use of a general classification scheme and domain thesauri (2010) 0.01
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    Abstract
    A study was conducted to investigate the capability of a general classification scheme and domain thesauri to support the construction of an organizational taxonomy to be used for navigation, and to develop steps and guidelines for constructing the hierarchical structure and categories. The study was conducted in the context of a graduate department in information studies in Singapore that offers Master's and PhD programs in information studies, information systems, and knowledge management. An organizational taxonomy, called Information Studies Taxonomy, was built for learning, teaching and research tasks of the department using the Dewey Decimal Classification and three domain thesauri (ASIS&T, LISA, and ERIC). The support and difficulties of using the general classification scheme and domain thesauri were identified in the taxonomy development process. Steps and guidelines for constructing the hierarchical structure and categories were developed based on problems encountered in using the sources.
  7. Wang, Z.; Khoo, C.S.G.; Chaudhry, A.S.: Evaluation of the navigation effectiveness of an organizational taxonomy built on a general classification scheme and domain thesauri (2014) 0.01
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    Abstract
    This paper presents an evaluation study of the navigation effectiveness of a multifaceted organizational taxonomy that was built on the Dewey Decimal Classification and several domain thesauri in the area of library and information science education. The objective of the evaluation was to detect deficiencies in the taxonomy and to infer problems of applied construction steps from users' navigation difficulties. The evaluation approach included scenario-based navigation exercises and postexercise interviews. Navigation exercise errors and underlying reasons were analyzed in relation to specific components of the taxonomy and applied construction steps. Guidelines for the construction of the hierarchical structure and categories of an organizational taxonomy using existing general classification schemes and domain thesauri were derived from the evaluation results.
  8. Wang, Z.; Chaudhry, A.S.; Khoo, C.S.G.: Using classification schemes and thesauri to build an organizational taxonomy for organizing content and aiding navigation (2008) 0.00
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    Date
    7.11.2008 15:22:04