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Demonstration of Prototype

Demonstration of Prototype. Some challenges (and some solutions…) Classification – self selection vs. categorisation Solution, for now, is a combination of approaches (more in a second) Expectation Management

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Demonstration of Prototype

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  1. Demonstration of Prototype

  2. Some challenges (and some solutions…) • Classification – self selection vs. categorisation • Solution, for now, is a combination of approaches (more in a second) • Expectation Management • Might have been handled better from the outset: making our expectations clear is probably important • ‘Prototype’ status has its issues • Relating themes to specific events/projects • Have begun incorporating events & projects into the system, using the same sort of vocabulary as that used for themes & researchers

  3. Classification – the solution (?) Mixture of controlled classification schemes: RCUK research classification scheme Cross-disciplinary Hierarchical Tied to funding - Relational MySQL version of the scheme created, and shared on the blog

  4. Classification – the solution (?) Some of the other classification schemes we considered include: The University’s own College/School structure Lacked granularity. Recently re-structured... Eurostat’s Classifications metadata Focus on economic activity The EU’s Nomenclature for the analysis and Comparison of Scientific Programmes and Budgets (NABS) classification Largely science-based The Universal Decimal Classification Summary (udcS) Probably closest to our needs Perhaps lacked familiar nomenclature

  5. Classification – the solution (?) ESRC National Centre for Research Methods Degree of top-down approval (Research Council) Provides an implicit hierarchy None of the potential schemes we found to be exhaustive Social Sciences focus of the NCRM scheme actually includes a pretty comprehensive list of qualitative and quantitative methods

  6. Some technical points • Text extraction (from PDF) was less trivial than expected • Decoding streams, dealing with odd characters, etc. • Authentication was somewhat problematic • More of an institutional hurdle than a technical challenge • Search and comparison algorithms have been improved by incorporation of stemming and fuzzy search

  7. Stemming • Using a version of the Porter stemming algorithm • Used to suggest keywords from publications and project descriptions • Much more useful (in my opinion!) when used to conflate search results • Can optionally allow for stemming in search engine

  8. Fuzzy Search • Experimented with an implementation of Jaro–Winkler distance • Also tried PHP’s built-in similar_textfunction • Finally settled on Levenshtein distance • Wrapped up the native PHP function with some additional parameters for acceptable distances • Fuzzy search is another option in the search engine • But quite useful as another conflation tool behind the scenes

  9. Demo…

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