Name
Title | ||
|---|---|---|
Knowledge-intensive conceptual retrieval and passage extraction of biomedical literature |
Abstract | ||
|---|---|---|
This paper presents a study of incorporating domain-specific knowledge (i.e., information about concepts and relationships between concepts in a certain domain) in an information retrieval (IR) system to improve its effectiveness in retrieving biomedical literature. The effects of different types of domain-specific knowledge in performance contribution are examined. Based on the TREC platform, we show that appropriate use of domain-specific knowledge in a proposed conceptual retrieval model yields about 23% improvement over the best reported result in passage retrieval in the Genomics Track of TREC 2006. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1145/1277741.1277853 | SIGIR |
Keywords | DocType | Citations |
appropriate use,certain domain,passage extraction,passage retrieval,domain-specific knowledge,genomics track,information retrieval,biomedical literature,proposed conceptual retrieval model,knowledge-intensive conceptual retrieval,different type,trec platform,performance,document retrieval | Conference | 51 |
PageRank | References | Authors |
2.42 | 14 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wei Zhou | 1 | 51 | 2.42 |
| Clement T. Yu | 2 | 3171 | 1419.96 |
| Neil Smalheiser | 3 | 54 | 3.16 |
| Vetle I. Torvik | 4 | 430 | 27.15 |
| Jie Hong | 5 | 51 | 2.42 |