Name
Abstract | ||
|---|---|---|
As the progress of life science, human knowledge about life science keeps increased and diversified. To effectively access
the diverse and complex knowledge base, people need to cope with complex representation of desired knowledge pieces. As a
potential solution to the problem, we propose a natural language query processing system which can be used to build a human-friendly
question-answering system. In this position paper, we present the background, an initial design, and a preliminary investigation
of the natural language query processing.
|
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-15470-6_17 | AMT |
Keywords | Field | DocType |
natural language,question answering system,knowledge base | RDF query language,Query language,Question answering,Query expansion,Computer science,Data control language,Position paper,Natural language user interface,Artificial intelligence,Natural language processing,Knowledge base | Conference |
Volume | ISSN | Citations |
6335.0 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 8 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jin-Dong Kim | 1 | 1705 | 92.21 |
| Yasunori Yamamoto | 2 | 143 | 22.77 |
| Atsuko Yamaguchi | 3 | 149 | 16.11 |
| Mitsuteru Nakao | 4 | 141 | 13.28 |
| Kenta Oouchida | 5 | 2 | 1.04 |
| Hong-woo Chun | 6 | 168 | 12.86 |
| Toshihisa Takagi | 7 | 858 | 102.84 |