SRDF : Lexical Knowledge Graph Extraction Tool for Korean (Open Information Extraction)
SRDF is the new Korean Open IE system. The system is designed to meet the characteristics of Korean and extract multiple relationships between argument(s) and relation(s) within a sentence by using reificaion technique(specifically, singleton property method).
mvn clean compile exec:java
- Input 문장을 입력하세요:
세종대왕은 백성들을 위해 훈민정음을 만들었다.
- Output ==NPChunks==
세종대왕 / 은 / 0 / NP_SBJ
백성들 / 을 / 1 / NP_OBJ
훈민정음 / 을 / 3 / NP_OBJ
==VPChunks==
만들 / 었다. / 4 / [2, 3]
위하 / 어 / 2 / [0, 1]
==SRDF Reified Triples==
세종대왕 만들 훈민정음
만들 위하 백성들
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If you want to modify input and output format specifically (path, console, file, ...), please see the SRDF.java file.
CC BY-NC-SAAttribution-NonCommercial-ShareAlike- If you want to commercialize this resource, please contact to us
If you use the current of SRDF, please cite the following papers.
- Sangha Nam, Younggyun Hahm, Sejin Nam, Key-Sun Choi, SRDF: Korean Open Information Extraction using Singleton Property, Proc. International Semantic Web Conference, ISWC, Posters & Demonstrations Track, 2015.
- Sangha Nam, GyuHyeon Choi, Key-Sun Choi, SRDF: A Novel Lexical Knowledge Graph for Whole Sentence Knowledge Extraction, LDK 2017: Language, Data, and Knowledge pp 315-329, 2017.
nam.sangha at gmail.com
This work was supported by Institute for Information & communications Technology Promotion(IITP) grant funded by the Korea government(MSIT) (2013-0-00109, WiseKB: Big data based self-evolving knowledge base and reasoning platform)