Title :
Intelligent document retrieval from heterogeneous cardiology literature sources: use of an automated notification robot learning from his user
Author :
Berger, T. ; Kottkamp, H. ; Ramming, J. ; Elsner, C.H.
Author_Institution :
Heart Center Leipzig, Germany
Abstract :
Information management becomes harder with the increasing flood of information. The user needs systems which take a preselection of the information provided and which report periodically to him on their own. The described project retrieves its content from the Pubmed Knowledge-Base at the NCBl and diverse internal datasources of an in-house document-management solution and links to the corresponding (online) documents. Only for Medline a similar approach is performed by services like http://www.pubcrawler.ie/ and http://www. biomail.org. The special feature of the here described work is the learning/grading function of the software, which allows the semi-automatic improvement of the user (search) profiles. Some of the basic components of this project are shared as open-source with partners.
Keywords :
cardiology; information retrieval; learning (artificial intelligence); medical information systems; open systems; Medline; NCBl; Pubmed Knowledge-Base; automated notification robot learning; heterogeneous cardiology literature sources; in-house document-management solution; information management; intelligent document retrieval; open-source; Cardiology; Content based retrieval; Feedback; Floods; Heart; Information management; Information retrieval; Intelligent robots; Open source software; Robotics and automation;
Conference_Titel :
Computers in Cardiology, 2003
Print_ISBN :
0-7803-8170-X
DOI :
10.1109/CIC.2003.1291162