Abstract
Social relation plays an important role in a real community. Interaction patterns reveal relations among actors (such as persons, groups, companies), which can be merged into valuable information as a network structure. In this paper, we propose a new approach to extract inter-business relationship from the Web. Extraction of relation between a pair of companies is realized by using a search engine and text processing. Since names of companies co-appear coincidentaly on the Web, we propose an advanced algorithm which is characterized by addition of keywords (or we call relation words) to a query. The relation words are obtained from either an annotated corpus or the Web. We show some examples and comprehensive evaluations on our approach.
| Original language | English |
|---|---|
| Pages (from-to) | 48-57 |
| Number of pages | 10 |
| Journal | Transactions of the Japanese Society for Artificial Intelligence |
| Volume | 22 |
| Issue number | 1 |
| Publication status | Published - 2007 |
| Externally published | Yes |
Keywords
- Information extraction
- Relation extraction
- Search query
- Social network
- WWW
ASJC Scopus subject areas
- Artificial Intelligence