The Intute Project
The Intute project, co-funded by JISC (Joint Information Systems Committee) and AHRC (Arts and Humanities Research Council) , is a joint work between NaCTeM, MIMAS and the Intute Repository Search Project. The aim is to develop an intelligent semantic search service using NaCTeM's text mining tools, which will grant users the benefit of searching within an enhanced subset of the Intute repository, a collection of academic/technical reports under the domain-heading of Bio-medical Science or Social Science.
In particular, the Intute project considers four directions to improve the current search ability of Intute Repository Search:
- Enhancing the metadata using text mining technologies;
- Applying the technique(s) of text clustering/classification in the search system;
- Developing improved technique(s) for query expansion; and
- Involving the idea of personalisation in the search system.
Duration: May 1st, 2008 ~ April 30th, 2009
Principal Investigator: Dr. Sophia Ananiadou
Project Team (NaCTeM): Scott Piao and Brian Rea
Project Timetable
Project Flowchart
Project Documentation (Progress Reports & Presentations)
Progress of Project
1) Tools have been developed for indexing documents based on metadata (provided by UKOLN) and additional metadata generated by processing full texts. In particular, Genia POS tagger and Termine term extractor are integrated into the indexing package to extract terms from abstracts and pdf full-text documents (where available via the metadata) for indexing purpose. A sample index of over 197,000 documents, including about 3,500 full texts, has been created.
2) A demonstrator semantic document search package has been developed, in which advanced document searching functions are implemented, such as real time clustering of retrieved documents using Carrot2 package, term-based searching of similar and topic-sharing documents, complex query builing etc. In addition, the visualisation package Aduna has been integrated to graphically show the relationships between topics.
NaCTeM IRS Demo Site
Here is a video clip demonstrating the main functions of the NaCTeM IRS search demo site.
Click any of the screenshots below to access the demo site.
Figure 1: Simple search and cluster page:
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Figure 2: Full document information page:
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Figure 3: Document cluster visualisation page:
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Figure 3: Complex query builder page:
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Featured News
- Invited talk at BioASQ 2023
- Prof. Ananiadou appointed as Senior Area Chair for ACL 2023 and IJCNLP-AACL 2023
- New Knowledge Transfer Partnership with 10BE5
- Panellist at Digital Trust and Society Forum 2023
- Chinese Government AwardAward for PhD student Tianlin Zhang
- Advances in Data Science and AI Conference 2023
- Keynote talk at EMBL-EBI industry club Machine Learning for Text Mining
- Talk at Open Data Science Conference (ODSC)
- BioLaySumm 2023 - Shared Task @ BioNLP 2023
- Prof. Ananiadou gives talk as distinguished speaker in the Women in AI speaker series
- Junichi Tsujii awarded Order of the Sacred Treasure, Gold Rays with Neck Ribbon
Other News & Events
- Keynote Talk at the Festival of AI
- Recent funding successes for Prof. Sophia Ananiadou
- New article on using neural architectures to aggregate sequence labels from multiple annnotators
- New article on improving biomedical extractive summarisation using domain knowledge
- New article on automated detection and analysis of depression and stress in social media data