Alignment of Large Heterogeneous Knowledge Bases Based on Iterative Matching
A knowledge base and iterative technology, applied in the field of knowledge base alignment, which can solve problems such as multiple candidate entity pairs and omissions
Active Publication Date: 2019-10-18
ZHEJIANG UNIV
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However, since this method only obtains candidate entity pairs through the classic partitioning technique at the initial stage of the model, when there are fewer attributes aligned between the two knowledge bases, this method will also miss more candidate entity pairs
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[0051] In order to describe the present invention more specifically, the technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.
[0052] Such as figure 1 As shown, the method for aligning large-scale heterogeneous knowledge bases based on iterative matching in the present invention is divided into two parts: data preprocessing and knowledge base alignment. Data preprocessing part: filter the data in the original knowledge base KB, unify the data format, and obtain the relationship in the knowledge base and the initial matching entity pair; knowledge base alignment part: first use the relationship in the knowledge base to pair the preprocessed The knowledge base is partitioned, and the blocks are simplified, and then the matched entity pairs are used to match the blocks to obtain the matched block pairs, and then the candidate entity pairs are selected from the matched block pairs, a...
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The invention discloses an iterative matching-based large heterogeneous knowledge base alignment method. The method is specifically implemented by the following steps of 1) performing screening and data format unification on data in an original knowledge base, and based on this, obtaining relations and initial matched entity pairs in the knowledge base; 2) partitioning the preprocessed knowledge base by utilizing the relations in the knowledge base, and simplifying blocks; 3) matching the blocks by utilizing the matched entity pairs to obtain matched block pairs; 4) selecting candidate entity pairs from the matched block pairs, and confirming the candidate entity pairs in combination with a similarity measurement method and a threshold; and 5) repeating the steps until new candidate entity pairs cannot be discovered, thereby obtaining all matched entity pairs. According to the method, heterogeneous knowledge bases are aligned in combination with an iterative matching thought; and the method has a wide application prospect in the fields of knowledge base alignment, data fusion, automatic question and answer, and the like.
Description
technical field [0001] The invention relates to the field of knowledge base alignment, in particular to a large-scale heterogeneous knowledge base alignment method based on iterative matching. Background technique [0002] With the advent of Web 3.0, structured knowledge bases are appearing more and more frequently on the Internet. These knowledge bases are widely used in various semantic applications, such as automatic question answering, search services, and social services. However, the limited information of a single knowledge base limits the functionality of these applications. In this context, knowledge base alignment has huge room for development. Knowledge Base Alignment (Knowledge Base Alignment) usually refers to the entity alignment of the knowledge base, that is, to automatically discover two entities representing the same thing in reality and connect them. [0003] Due to the ever-increasing size of knowledge bases, knowledge base alignment methods usually di...
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IPC IPC(8): G06F16/28
Inventor 陈岭顾伟东
Owner ZHEJIANG UNIV