Abstract
Hermes is an ontology-based framework for building news personalization services, which focuses on news classification and knowledge base updating. The framework also allows for news querying and result presentation. In this paper, we focus on the techniques involved in keeping Hermes’ internal knowledge base up-to-date. Essentially, our semi-automatic approach to knowledge acquisition from news is based on ontologies and lexico-semantic patterns.
| Original language | English |
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| Title of host publication | Proceedings of the 22nd Benelux Conference on Artificial Intelligence (BNAIC 2010), 25-26 October 2010, Luxembourg |
| Editors | G. Danoy, M. Seredynski, R. Booth, B. Gateau, I. Jars, D. Khadraoui |
| Place of Publication | Z.pl. |
| Publisher | s.n. |
| Pages | 261-262 |
| Publication status | Published - 2010 |
| Event | 22nd Benelux Conference on Artificial Intelligence (BNAIC 2010) - Luxemburg, Luxembourg Duration: 25 Oct 2010 → 26 Oct 2010 Conference number: 22 |
Conference
| Conference | 22nd Benelux Conference on Artificial Intelligence (BNAIC 2010) |
|---|---|
| Abbreviated title | BNAIC 2010 |
| Country/Territory | Luxembourg |
| City | Luxemburg |
| Period | 25/10/10 → 26/10/10 |