Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 최중민 | - |
dc.date.accessioned | 2020-12-23T07:12:25Z | - |
dc.date.available | 2020-12-23T07:12:25Z | - |
dc.date.issued | 2003-11 | - |
dc.identifier.citation | Intelligent Agents and Multi-Agent Systems. PRIMA 2003. Lecture Notes in Computer Science, v. 2891, page. 74-85 | en_US |
dc.identifier.isbn | 978-3-540-20460-2 | - |
dc.identifier.isbn | 978-3-540-39896-7 | - |
dc.identifier.uri | https://link.springer.com/chapter/10.1007/978-3-540-39896-7_7 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/156478 | - |
dc.description.abstract | Knowledge-based information extraction is known to have flexibility in recognizing various kinds of target information by exploiting the domain knowledge to automatically generate information-extraction rules. However, most of previous knowledge-based information-extraction systems are only applicable to labeled documents, and as a result, ontology terms must appear in the document in order to guide the system to determine the existence of the target information. To make a knowledge-based information-extraction system to be more general enough to handle both labeled and unlabeled documents, this paper proposes an enhanced scheme of knowledge-based wrapper generation by using token-based morphological patterns. Each document is represented as a sequence of tokens, rather than a sequence of logical lines, in order to capture the meaning of data fragments more correctly and recognize the target information contextually. The newly implemented system XTROS+ is presented and its performance is demonstrated. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | SPRINGER-VERLAG BERLIN | en_US |
dc.subject | Domain Knowledge | en_US |
dc.subject | Information Extraction | en_US |
dc.subject | Target Item | en_US |
dc.subject | Ontological Term | en_US |
dc.subject | Morphological Pattern | en_US |
dc.title | Agents for Intelligent Information Extraction By Using Domain Knowledge and Token-based Morphological Patterns | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1007/978-3-540-39896-7_7 | - |
dc.relation.journal | LECTURE NOTES IN ARTIFICIAL INTELLIGENCE | - |
dc.contributor.googleauthor | Yang, Jaeyoung | - |
dc.contributor.googleauthor | Choi, Joongmin | - |
dc.relation.code | 2007206326 | - |
dc.sector.campus | E | - |
dc.sector.daehak | COLLEGE OF ENGINEERING SCIENCES[E] | - |
dc.sector.department | DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING | - |
dc.identifier.pid | jmchoi | - |
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