Semantic Filtering of Exemplar Queries

被引:1
|
作者
Wolfengagen, Viacheslav E. [1 ]
Kosikov, Sergey, V [2 ]
Ismailova, Larisa Yu [1 ]
Aleksandrova, Irina A. [2 ]
Zaytsev, Anatoly E. [2 ]
机构
[1] Natl Res Nucl Univ MEPhI, Moscow Engn Phys Inst, Moscow 115409, Russia
[2] Inst Contemporary Educ JurInfoR MGU, Moscow 119435, Russia
关键词
information system; semantic network; semantic filtering; informational graph; exemplar query; computational model;
D O I
10.1016/j.procs.2018.01.031
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The paper considers an approach to solving the problem of supporting the similarity mechanisms of conceptual dependencies for semantic filtering of exemplar queries. The solution is based on the informational graphs with their structure and semantical labels. The presence of variational similarity criteria makes it possible to carry out "semantic filtering" of the retrieval of a response. The set of criteria is given. The criteria can be extended for treating the similarity of frame representing graphs. (C) 2018 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/). Peer-review under responsibility of the scientific committee of the 8th Annual International Conference on Biologically Inspired Cognitive Architectures
引用
收藏
页码:189 / 194
页数:6
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