Name
Abstract | ||
|---|---|---|
This paper presents a novel methodology for topic ontology learning from text documents. The proposed methodology, named OntoTermExtraction (Term Extraction for Ontology learning), is based on OntoGen, a semi-automated tool for topic ontology construction, upgraded by using an advanced terminology extraction tool in an iterative, semi-automated ontology construction process. This process consists of (a) document clustering to find the nodes in the topic ontology, (b) term extraction from document clusters, (c) populating the term vocabulary and keyword extraction, and (d) choosing the concept names by comparing the best-ranked terms with the extracted keywords. The approach was successfully used for generating the ontology of topics in Inductive Logic Programming, learned semi-automatically from papers indexed in the ILPnet2 publications database. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1007/978-3-540-89197-0_57 | PRICAI |
Keywords | Field | DocType |
topic ontology construction,term extraction,novel methodology,semi-automated ontology construction process,document cluster,topic ontology,topic ontology learning,ontology learning,keyword extraction,advanced terminology extraction tool,best-ranked term,document clustering | Ontology (information science),Ontology-based data integration,Information retrieval,Process ontology,Computer science,Ontology Inference Layer,Artificial intelligence,Natural language processing,Suggested Upper Merged Ontology,Upper ontology,Ontology learning,Terminology extraction | Conference |
Volume | ISSN | Citations |
5351 | 0302-9743 | 6 |
PageRank | References | Authors |
0.60 | 2 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Blaž Fortuna | 1 | 127 | 9.55 |
| Nada Lavrač | 2 | 989 | 72.19 |
| paola velardi | 3 | 1553 | 163.66 |