<--- Back to Details
First PageDocument Content
Science / Knowledge representation / Information science / Knowledge engineering / Ontology / Knowledge base / Knowledge representation and reasoning / Data extraction / Linked data / Technical communication / Semantic Web / Information
Date: 2014-08-07 21:38:50
Science
Knowledge representation
Information science
Knowledge engineering
Ontology
Knowledge base
Knowledge representation and reasoning
Data extraction
Linked data
Technical communication
Semantic Web
Information

Toward Ontology-based Knowledge Extraction from Web Data with the Lexicalization of Ontology for Korean QA System Younggyun Hahm†, Hee-Geun Yoon‡, Se-Young Park‡, Seong-Bae Park‡, Jungwon Cha*, Dosam Hwang†, an

Add to Reading List

Source URL: semanticweb.kaist.ac.kr

Download Document from Source Website

File Size: 898,17 KB

Share Document on Facebook

Similar Documents

Knowledge Representation and Reasoning for Mixed-Initiative Planning by George Montague Ferguson  Submitted in Partial Fulfillment

Knowledge Representation and Reasoning for Mixed-Initiative Planning by George Montague Ferguson Submitted in Partial Fulfillment

DocID: 1v9Am - View Document

KR 2010 Principles of Knowledge Representation and Reasoning the Twelfth International Conference The Sutton Place Hotel Toronto Toronto, Ontario, Canada May 9-13, 2010

KR 2010 Principles of Knowledge Representation and Reasoning the Twelfth International Conference The Sutton Place Hotel Toronto Toronto, Ontario, Canada May 9-13, 2010

DocID: 1tYRv - View Document

Workshop Notes  The 4th International Workshop on Acquisition, Representation and Reasoning with Contextualized Knowledge  ARCOE-12

Workshop Notes The 4th International Workshop on Acquisition, Representation and Reasoning with Contextualized Knowledge ARCOE-12

DocID: 1sX0n - View Document

A Natural Language Interface for Querying General and Individual Knowledge (Full Version) Yael Amsterdamer, Anna Kukliansky, and Tova Milo Tel Aviv University

A Natural Language Interface for Querying General and Individual Knowledge (Full Version) Yael Amsterdamer, Anna Kukliansky, and Tova Milo Tel Aviv University

DocID: 1rt8u - View Document

On the Robustness of Qualitative Distance- and Direction-Reasoning* Jung-Hong Hong Department of Surveying Engineering National Cheng-Kung University

On the Robustness of Qualitative Distance- and Direction-Reasoning* Jung-Hong Hong Department of Surveying Engineering National Cheng-Kung University

DocID: 1rqXQ - View Document