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| Domain-Oriented Deep Semantic Event Generalization |
| Cao Gaohui1,2, Ren Weiqiang1, Ding Heng1 |
1.School of Information Management, Central China Normal University, Wuhan 430079
2.Hubei Data Governance and Intelligent Decision Research Center, Wuhan 430079 |
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Abstract Event generalization is a key step in constructing event evolutionary graphs. However, the current frameworks for clustering-based and classification-based event generalization ignore the structural characteristics and dynamic changes of domain knowledge, and are thus unsuitable for event generalization in a limited domain. In this paper, we propose a domain-oriented event generalization framework based on deep semantic matching, comprised of two modules: deep semantic computing and seed event matching. This framework can effectively solve the problems of dynamic fusion of domain knowledge and event semantic alignment. Using tourism data as an example, the event generalization framework demonstrates better accuracy, stability, and migration ability than the existing clustering- and classification-based frameworks.
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Received: 13 April 2020
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