Name
Abstract | ||
|---|---|---|
This paper suggests a semi-automatic ontology construction method based on hub words. To do this, we define the words that are related to many other words as hub words. We determine the hub words by the statistical analysis of documents. Additionally, we discuss the base ontology construction process based on hub words and automatic ontology extension method. The proposed ontology can be used like an index file for traditional document retrieval and can offer more semantic information than simple index files. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/WI.2003.1241241 | Web Intelligence |
Keywords | Field | DocType |
automatic ontology extension method,hub words,simple index file,statistical analysis,index file,hub word,information retrieval,semantic information,traditional document retrieval,base ontology construction process,semi-automatic ontology construction method,proposed ontology,document retrieval,text analysis,indexation,indexing | Ontology,Data mining,Computer science,Search engine indexing,Natural language processing,Indexed file,Artificial intelligence,Document retrieval,Ontology (information science),Ontology-based data integration,Information retrieval,Upper ontology,Visual Word | Conference |
ISBN | Citations | PageRank |
0-7695-1932-6 | 8 | 1.02 |
References | Authors | |
1 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sang Ok Koo | 1 | 14 | 4.25 |
| Soo Yeon Lim | 2 | 10 | 2.27 |
| Sang Jo Lee | 3 | 20 | 2.01 |