NaCTeM Service Systems
If one of the services does not appear to be working, please check our Service Status and scheduled maintenance page before contacing us to report an error.
- TerMine
Term management system.
- Web Demonstration: integrated system for lightweight uses
- Batch Service: for processing documents larger than 2MB (request access)
- TerMine Plugin for Protégé: access TerMine from within Protégé to help populate your OWL ontologies (request access)
- AcroMine
Find distinct expanded forms of acronyms from Medline. - AcroMine Disambiguator: Disambiguate abbreviations in text with their correct full forms.
- CORD-19 – A search system and exploratory tool built on the documents of the COVID-19 Open Research Dataset, based on automatically identified technical terms, document citations, and their visualization.
- FACTA+ – a MEDLINE search engine for finding associations between biomedical concepts.
- History of Medicine (HOM) – A semantic search system over historical medical archives
- Kleio – an advanced information retrieval system providing knowledge enriched searching for biomedicine.
- RobotAnalyst — A tool to minimise the human workload involved in the study identification phase of systematic reviews.
- Thalia — A semantic search engine for Pubmed abstracts.
Other Services
- MEDIE
An intelligent search engine, retrieving biomedical events from Medline. Medie is based on the analysis of Enju which performs deep parsing of biomedical text.- If you download and use this Web Service, please let us know by email and cite the paper: Miyao, Yusuke, Tomoko Ohta, Katsuya Masuda, Yoshimasa Tsuruoka, Kazuhiro Yoshida, Takashi Ninomiya and Jun'ichi Tsujii (2006) Semantic Retrieval for the Accurate Identification of Relational Concepts in Massive Textbases. In the Proceedings of COLING-ACL 2006. Sydney, Australia, pp. 1017--1024.
- Info-Pubmed
Helps biologists to understand complex networks of protein-protein interactions. It lists the proteins which interact with a given protein. It uses a dictionary with 200,000 gene/protein names and deep-parse results of all sentences in Medline [user guide] - Firefox required