HELPAllie is a search service for abbreviations and long forms utilized in Lifesciences. It provides a solution to the issue that many abbreviations are used in the literature, and polysemous or synonymous abbreviations appear frequently, making it difficult to read and understand scientific papers that are not relevant to the reader's expertise.
In Allie, conceptually identical abbreviations and long forms are grouped by using a dictionary and an internally developed clustering tool. In the search result, the clustered abbreviations/long forms are displayed as a single hit result and labeled by cluster label which is shown in the 'Abbreviation/Long Form' column. 'Appearance frequency' refers to the number of clustered abbreviation(s) or long form(s) that appear in a title or an abstract.
The clustering method used in Allie is based on conceptual identity, so some expressional variations are accepted within a cluster. As a result, the letter strings of a cluster label may differ from the letter strings of abbreviations/long forms that appear in the PubMed/MEDLINE entry. However, in the PubMed/MEDLINE entry there should be abbreviations/long forms that are conceptually identical to the cluster label. You can check the expressional variations in the information page of the pair of abbreviations and long forms.
Yes, and here it is.
Y. Yamamoto, A. Yamaguchi, H. Bono and T. Takagi, "Allie: a database and a search service of abbreviations and long forms.", Database, 2011:bar03.
PubMed Entry | Full text paper available
H. Ao and T. Takagi, "ALICE: an algorithm to extract abbreviations from MEDLINE.", J Am Med Inform Assoc., 2005 Sep-Oct;12(5):576-86.
PubMed Entry | Full text paper available
Please refer to this page.
The URL of Allie SPARQL endpoint is "http://data.allie.dbcls.jp/sparql".
Please refer to this page for sample queries.
Here is the contact point: support AT dbcls DOT rois DOT ac DOT jp.