Name
Abstract | ||
|---|---|---|
In this paper, we propose a lexicon-driven and ontologymerging methodology of constructing diachronic domain knowledge via Sinica BOW, a bilingual ontological lexical resource based on WordNet and SUMO ontology. The main domain knowledge that we model our specialized ontology on is GuangQunFangPu, a Chinese classic literature of botany. Our studies yields promising result, we believe that the proposed research scenario will boost the on-going development of e-Humanities. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/E-SCIENCE.2006.261067 | eScience |
Keywords | Field | DocType |
botanic information,bilingual ontological lexical resource,on-going development,e-humanities combining textual,diachronic domain knowledge,chinese classic literature,proposed research scenario,main domain knowledge,specialized ontology,sumo ontology,sinica bow,ontologymerging methodology,natural languages,domain knowledge,cognitive science,data mining,ontologies,semantic web,knowledge engineering,grid computing | Ontology (information science),Ontology,Data mining,Knowledge representation and reasoning,Domain knowledge,Computer science,Knowledge-based systems,Natural language processing,Artificial intelligence,Knowledge extraction,Knowledge engineering,WordNet | Conference |
ISBN | Citations | PageRank |
0-7695-2734-5 | 0 | 0.34 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shu-kai Hsieh | 1 | 47 | 21.47 |
| Shu-ming Chang | 2 | 30 | 8.19 |
| Chun-Han Chang | 3 | 5 | 1.77 |
| Yi-Shuan Zhou | 4 | 0 | 0.34 |
| Chu-Ren Huang | 5 | 600 | 136.84 |
| Feng-Ju Lo | 6 | 2 | 2.02 |
| Ru-Ying Chang | 7 | 0 | 0.34 |