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Intute Repository Search Project

Intute Repository Search Project. An iterative approach to developing a national search service to support scholarly communication, teaching and learning www.intute.ac.uk/irs. Sophia Jones Linda Kerr September 2008. Introduction. Background:

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Intute Repository Search Project

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  1. Intute Repository Search Project An iterative approach to developinga national search service to support scholarly communication, teachingand learning www.intute.ac.uk/irs Sophia Jones Linda Kerr September 2008

  2. Introduction • Background: - Funded by JISC (Joint Information Systems Committee) - www.jisc.ac.uk - A Mimas project (www.mimas.ac.uk), in partnership with UKOLN and SHERPA. • Objectives: - Develop a UK repository search service to support academic activity - To serve as a showcase for UK research and education

  3. Aims • Discovery, harvesting and aggregation of repositories of academic and research papers from HE and other relevant open access sources across the UK • Creation and maintenance of a store of metadata • Provide improved services to individuals – automatic profiling based on individual enquiry or learning characteristics

  4. Aims • To provide a richer and more meaningful contextual search facility including full-text search, text-mining and automatic subject classification • Investigate opportunities to include other relevant information sources eg non-UK resources • Help develop meaningful synergies between research repositories and learning repositories

  5. Scope • Scope in first instance includes repositories of Open Access academic and research papers held in UK HEI Repositories; • Now harvesting and searching 87 UK Repositories with approx 360,000 artefacts; • http://www.intute.ac.uk/irs/ • Planned Scope exploration: • Other OA Repositories e.g., Learning Objects (JORUM) (Moodle) • Proprietary LO Repositories (Blackboard / WebCT) • Global research and academic papers • Optimisation via other JISC Shared Services (IESR, HILT)

  6. Progress • Phase I – developing and deploying simple search functionality across UK university repositories; new web interface • Phase II – identified and agreed approaches to developing further search and discovery features

  7. http://www.intute.ac.uk/irs/

  8. Simple Search Full-text Search Subject Classification Automated aggregation Concept matching Personalisation Search paradigm Discovery Paradigm Meaning-based computing The Challenge & Complexities • Knowledge Management Context for Researchers, Teachers and Students • Knowledge Context • Where can I find…? • What can help me? • Who can help me? • What do we know? • What do I / we don’t know? Content Context

  9. Search and discovery context Moving beyond the Google Search Box scenario: • What do I want to know? • What do I not know? • Where can I find it? • How can I access it? • Who can help me in my enquiry or offer new knowledge / perspectives? • What have other people like me been looking for in similar or connected areas? • Why do I need this information? • When do I need to be notified that things may have changed?

  10. Researcher (PI, Assistant, Post Grad) Research Support Departments Commercial Technology Stakeholders Teaching & Learning Community Developers Standards Communities Academic & Research Deans Higher Education Academy - LSC JISC Librarians Institutional Repository Managers JISC Repositories & Preservation Knowledge / Info specialists (HE/FE) UK Research Councils JISC IE & IEMSR Other National Repository Aggregators Cross-sector shared service developments Common Repository Interface WG - JISC Broad range of Requirements Ongoing requirements focussing on:

  11. Development paths • Development of machine to machine interfaces – SRU/SRW, Z39.50 • Version Control • Achievable synergies between research and learning object repositories • Cross-searching of repositories – presentation of results

  12. Advanced discovery and retrieval • Parallel approaches: • NaCTEM (National Centre for Text Mining) - www.nactem.ac.uk • Autonomy IDOL software • Advanced browsing and searching – • Automated document clustering and classification based on terminology • Personalisation of searching • Concept visualisation from automated clustering

  13. Summary • Serve as a showcase for UK research and education • Discover, harvest and aggregate repositories of academic and research papers from HE and other relevant open access sources across the UK • Provide a richer and more meaningful contextual search facility including full-text search, text-mining and automatic subject classification • Further expansion based on user requirements/JISC review

  14. http://www.intute.ac.uk/irs/ sophia.jones@nottingham.ac.ukl.kerr@hw.ac.uk

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