- PROTEIN, GENE, METABOLITE, DISEASE, SYMPTOM, ORGAN,
- DIAG_PROC, THERAPEUTIC_PROC, (diagnostic/therapeutic procedure, e.g. MRI, "cerebral blood flow")
- GENERAL_PHENOM, HUMAN_PHENOM, NATURAL_PHENOM, (Medical phenomenon or process, e.g. "UV radiation" )
- INDICATOR (Reagent or diagnostic aid, e.g. "hydrogen peroxide", "sulfhydryl reagent")
- ACRONYM, AUTHOR, PUBLICATIONTYPE (e.g. "Journal Article", "Technical Report")
Sample queries include:
- IL-2 (general word query)
- "atopic eczema" (compound terms can be used as a query when quoted in double quotations(""))
- PROTEIN:GnRH (query with a semantic category)
- AUTHOR:"Smith J" (query with an author name)
- PUB_DATE:[20080101 TO 20091231] (query to specify the publication date)
- PROTEIN:GnRH AND PUB_DATE:[20080101 TO 20091231] (compound query)
(e.g. AND, OR, NOT) should be uppercase.
- Let us know that you are using KLEIO by email.
- Cite the following when publishing work that uses KLEIO: C. Nobata, P. Cotter, N. Okazaki, B. Rea, Y. Sasaki, Y. Tsuruoka, J. Tsujii and S. Ananiadou. Kleio: a knowledge-enriched information retrieval system for biology. In Proc. of the 31st Annual International ACM SIGIR Conference, pp. 787--788, 2008.
- Credit and link to the NaCTeM website (http://www.nactem.ac.uk) in any electronic services based on the KLEIO service or resulting data.
- Contact us by email in advance if you plan to use the service for bulk processing. KLEIO is a freely available service from the academic domain. This means that it is necessary to limit server load and give preference to individual users. Excessive server load may result in IP addresses or institutions being blocked from using the KLEIO service.
- After using this service, let us know what you think by completing our online questionnaire.
Kleio is one of the latest innovations coming out of the UK National Text Mining Centre (NaCTeM) and provides advanced searching facilities across the ever growing MEDLINE® collection, the world's most comprehensive source of life sciences and biomedical bibliographic information. By combining a selection of our software services we can provide enhanced results through a process that identifies key entities within the text, such as gene names or proteins, and improves the querying method with unique identifiers by automatically including synonyms, spelling variants and even disambiguating acronyms. This combines with the traditional features found in other interfaces to provide a much needed solution to the growing problem of finding valuable information within the ever increasing volume of modern publications.
Kleio has been developed by NaCTeM to support the needs of the UK academic community. As such we will continue to develop and extend the available functionality according to your requests and the challenges facing our users. Why not help us to improve this tool. You can provide us feedback on your experience using Kleio for future extension.
Friday 24th August 2007 - Kleio site opens for alpha testing
Monday 20th August 2007 - Kleio enhanced by TM tools