@inproceedings{abbf4e86692649efa8142f225602ae10,
title = "A multi-view fusion approach for entity alignment",
abstract = "Entity alignment is an important issue in the areas of ontology alignment and computational intelligence. Ontology alignment is a key technology to solve the semantic heterogeneity problem of ontology and the Semantic Web, and to realize knowledge reusing and integration. The task of entity alignment is to identify entities represented in textual documents or web pages which refer to the same entities in the real world. In this paper, we propose a multi-view fusion approach for entity alignment, and that approach aims to identify the equivalent alignment relations between multiple sets of items or web pages which exist in different Encyclopedia websites. Our approach offers an effective and convenient technique for view construction, view combination and entity alignment. Experimental results show that our algorithm is promising, and its performance outperforms those of single-view based methods.",
keywords = "Entity alignment, computational intelligence, multi-view fusion model, ontology alignment, semantic computing",
author = "Chunxia Zhang and Xiuzhang Yang and Shuliang Wang and Zhendong Niu and Yu Guo",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 16th IEEE International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2017 ; Conference date: 26-07-2017 Through 28-07-2017",
year = "2017",
month = nov,
day = "14",
doi = "10.1109/ICCI-CC.2017.8109778",
language = "English",
series = "Proceedings of 2017 IEEE 16th International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "388--393",
editor = "Yingxu Wang and Freddie Hamdy and Newton Howard and Zadeh, {Lotfi A.} and Amir Hussain and Bernard Widrow",
booktitle = "Proceedings of 2017 IEEE 16th International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2017",
address = "United States",
}