Automatic Information Retrieval

Computer ◽  
1980 ◽  
Vol 13 (9) ◽  
pp. 41-56 ◽  
Author(s):  
Salton
Keyword(s):  
Information Retrieval ◽  
Automatic Information

RETRIEVING MUTATION-SPECIFIC INFORMATION FOR HUMAN PROTEINS IN UNIPROT/SWISS-PROT KNOWLEDGEBASE

2007 ◽  
Vol 05 (06) ◽  
pp. 1215-1231 ◽  
Author(s):  
YUM LINA YIP ◽  
NATHALIE LACHENAL ◽  
VIOLAINE PILLET ◽  
ANNE-LISE VEUTHEY
Keyword(s):  
Information Retrieval ◽  
Amino Acid ◽  
Single Amino Acid ◽  
Specific Information ◽  
Regular Expressions ◽  
Retrieval Method ◽  
The Public ◽  
Automatic Information ◽  
Human Proteins ◽  
Single Amino Acid Polymorphisms

The UniProt/Swiss-Prot Knowledgebase records about 30,500 variants in 5,664 proteins (Release 52.2). Most of these variants are manually curated single amino acid polymorphisms (SAPs) with references to the literature. In order to keep the list of published documents related to SAPs up to date, an automatic information retrieval method is developed to recover texts mentioning SAPs. The method is based on the use of regular expressions (patterns) and rules for the detection and validation of mutations. When evaluated using a corpus of 9,820 PubMed references, the precision of the retrieval was determined to be 89.5% over all variants. It was also found that the use of nonstandard mutation nomenclature and sequence positional correction is necessary to retrieve a significant number of relevant articles. The method was applied to the 5,664 proteins with variants. This was performed by first submitting a PubMed query to retrieve articles using gene or protein names and a list of mutation-related keywords; the SAP detection procedure was then used to recover relevant documents. The method was found to be efficient in retrieving new references on known polymorphisms. New references on known SAPs will be rendered accessible to the public via the Swiss-Prot variant pages.

Verb generation task: early automatic information retrieval or late effortful decision-making?

2016 ◽  
Vol 108 ◽  
pp. 78-79
Author(s):  
Anastasia Nikolaeva ◽  
Anna Butorina ◽  
Andrey Prokofiev ◽  
Anna Pavlova ◽  
Denis Bondarev ◽  
...  
Keyword(s):  
Decision Making ◽  
Information Retrieval ◽  
Generation Task ◽  
Automatic Information ◽  
Verb Generation

Intelligent Fax Management System

2003 ◽  
Vol 02 (03) ◽  
pp. 279-288
Author(s):  
N. Sriskanthan ◽  
Geok See Ng ◽  
Kin Keong Wong ◽  
Keok Kee Lee
Keyword(s):  
Information Retrieval ◽  
Character Recognition ◽  
Management System ◽  
Personal Computers ◽  
Office Environment ◽  
Order Processing ◽  
Commercial Potential ◽  
Automatic Information ◽  
Recognition Technique

Fax machines have become a ubiquitous equipment in today's office environment due to its ability to send information around with speed and convenience. Increasingly many personal computers nowadays are able to play the role of a fax machine by adding in a fax card and the relevant software. This paper proposes a Fax Management System employing character recognition technique to enhance the basic capability of a PC-based fax system. The proposed enhancement includes Personal Fax Handling, Automatic Information Retrieval and Order Processing. This enhancement is envisaged to be of significant commercial potential as it addresses certain unfulfilled needs in current PC-based fax systems.

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