异构网络相关实体识别模型及增量验证算法研究异构网络相关实体识别模型及增量验证算法研究

Q3 Computer Science 计算机学报 Pub Date : 2014-03-19 DOI:10.3724/SP.J.1016.2013.02096
Yue Kou, Derong Shen, Heng Liu, Taiming Wang, Tiezheng Nie, Yu Ge
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引用次数: 1

摘要

关联实体识别是发现和整合异构网络中紧密关联实体的必要技术。让用户更好地理解搜索结果是很有用的。然而,目前的技术对相关实体识别考虑的影响因素有限,缺乏验证,往往导致结果模糊。本文在充分考虑实体模式和实体特征的基础上,提出了一种两阶段相关的实体识别模型。提出了一种增量验证算法,对识别结果进行迭代验证和修复。实验验证了关键技术的可行性和有效性。
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Research on Related Entity Identification Model and Incremental Verification Algorithm for Heterogeneous Networks: Research on Related Entity Identification Model and Incremental Verification Algorithm for Heterogeneous Networks
Related entity identification is a necessary technique to find and integrate the entities that are related tightly in heterogeneous networks.It is useful to make users understand the search result better.However,current techniques consider limited influence factors for related entity identification and lack verification which often lead to dumb results.In this paper,we present a two-phase related entity identification model by fully considering entity schema and entity feature.Also an incremental verification algorithm is proposed to iteratively verify and repair the result of identification.The experiments demonstrate the feasibility and effectiveness of our key techniques.
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计算机学报
计算机学报 Computer Science-Computer Graphics and Computer-Aided Design
CiteScore
3.00
自引率
0.00%
发文量
7308
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