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 | 10.1007/978-3-540-39592-8_14 | Lecture Notes in Computer Science |
Keywords | Field | DocType |
statistical analysis,indexation,document retrieval | Ontology (information science),Ontology-based data integration,Data mining,Ontology,Information retrieval,Process ontology,Computer science,Indexed file,Suggested Upper Merged Ontology,Document retrieval,Upper ontology | Conference |
Volume | ISSN | Citations |
2871 | 0302-9743 | 2 |
PageRank | References | Authors |
0.58 | 2 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sang Ok Koo | 1 | 14 | 4.25 |
| Soo Yeon Lim | 2 | 10 | 2.27 |
| Sangjo Lee | 3 | 110 | 19.15 |