### Abstract

Original language | Undefined |
---|---|

Place of Publication | Enschede |

Publisher | University of Twente |

Number of pages | 10 |

Publication status | Published - Sep 2008 |

### Publication series

Name | Memorandum |
---|---|

Publisher | Department of Applied Mathematics, University of Twente |

No. | 2/1876 |

ISSN (Print) | 1874-4850 |

ISSN (Electronic) | 1874-4850 |

### Keywords

- EWI-13255
- natural language processing
- Knowledge graph
- Expert system
- IR-64931
- METIS-254884
- conceptual graph
- MSC-05C99

### Cite this

*25 years development of knowledge graph theory: the results and the challenge*. (Memorandum; No. 2/1876). Enschede: University of Twente.

}

*25 years development of knowledge graph theory: the results and the challenge*. Memorandum, no. 2/1876, University of Twente, Enschede.

**25 years development of knowledge graph theory: the results and the challenge.** / Sri Nurdiati, S.N.; Hoede, C.

Research output: Book/Report › Report › Professional

TY - BOOK

T1 - 25 years development of knowledge graph theory: the results and the challenge

AU - Sri Nurdiati, S.N.

AU - Hoede, C.

PY - 2008/9

Y1 - 2008/9

N2 - The project on knowledge graph theory was begun in 1982. At the initial stage, the goal was to use graphs to represent knowledge in the form of an expert system. By the end of the 80's expert systems in medical and social science were developed successfully using knowledge graph theory. In the following stage, the goal of the project was broadened to represent natural language by knowledge graphs. Since then, this theory can be considered as one of the methods to deal with natural language processing. At the present time knowledge graph representation has been proven to be a method that is language independent. The theory can be applied to represent almost any characteristic feature in various languages. The objective of the paper is to summarize the results of 25 years of development of knowledge graph theory and to point out some challenges to be dealt with in the next stage of the development of the theory. The paper will give some highlight on the difference between this theory and other theories like that of conceptual graphs which has been developed and presented by Sowa in 1984 and other theories like that of formal concept analysis by Wille or semantic networks.

AB - The project on knowledge graph theory was begun in 1982. At the initial stage, the goal was to use graphs to represent knowledge in the form of an expert system. By the end of the 80's expert systems in medical and social science were developed successfully using knowledge graph theory. In the following stage, the goal of the project was broadened to represent natural language by knowledge graphs. Since then, this theory can be considered as one of the methods to deal with natural language processing. At the present time knowledge graph representation has been proven to be a method that is language independent. The theory can be applied to represent almost any characteristic feature in various languages. The objective of the paper is to summarize the results of 25 years of development of knowledge graph theory and to point out some challenges to be dealt with in the next stage of the development of the theory. The paper will give some highlight on the difference between this theory and other theories like that of conceptual graphs which has been developed and presented by Sowa in 1984 and other theories like that of formal concept analysis by Wille or semantic networks.

KW - EWI-13255

KW - natural language processing

KW - Knowledge graph

KW - Expert system

KW - IR-64931

KW - METIS-254884

KW - conceptual graph

KW - MSC-05C99

M3 - Report

T3 - Memorandum

BT - 25 years development of knowledge graph theory: the results and the challenge

PB - University of Twente

CY - Enschede

ER -