Abstract | ||
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This paper describes a method to construct from a set of documents a spatial representation that can be used for information retrieval and knowledge discovery. The proposed method has been implemented in a prototype system and allows the researcher to browse interactively and in real-time a network of relationships obtained from a set of full text articles. These relationships are combined with the potential relationships between concepts as defined in the UMLS semantic network. The browser allows the user to select a seed term and find all related concepts, to find a path between concepts (hypothesis testing), and to retrieve the references to documents or database entries that support the relationship between concepts. |
Year | Venue | Field |
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2002 | AMIA 2002 SYMPOSIUM, PROCEEDINGS: BIOMEDICAL INFORMATICS: ONE DISCIPLINE | Information retrieval,Visualization,Computer science,Semantic network,Software,Spatial representation,Natural language processing,Artificial intelligence,Knowledge extraction,Unified Medical Language System,Statistical hypothesis testing |
DocType | Citations | PageRank |
Conference | 11 | 1.81 |
References | Authors | |
0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Erik M. Van Mulligen | 1 | 633 | 44.63 |
C. Christiaan Van Der Eijk | 2 | 155 | 10.47 |
Jan A. Kors | 3 | 635 | 37.25 |
Bob J. A. Schijvenaars | 4 | 189 | 10.39 |
Barend Mons | 5 | 430 | 33.31 |