A Linked Data Oriented Entity Classification Method and System

Abstract

The invention discloses a linked data oriented entity classification method and system which are aimed at the problem of entity classification of linked data. The entity classification method includes pretreatment, statistical classification and post treatment. Pretreatment: word segmentation is performed on text description information in an entity page; and an attribute name of an information box and word information obtained by segmentation form an entity page character. Statistical classification: a statistical classification model is trained through various segmentation granularities to classify the entity page, and then a primary prediction result of entity class can be obtained. Post treatment: the entity statistical classification result is corrected; and a combined entity class is corrected through model combination, language knowledge, linkage information and class associate attribute information. The method and the system is easy to implement and debug, is high in efficiency, is good in accuracy, can be used for performing knowledge management on the linked data, and achieve high-precision classification of the entity.

Description

technical field [0001] The invention belongs to the field of information processing, relates to link data classification and search, in particular to a method and system for high-precision classification of entity pages in link data. Background technique [0002] Currently in the era of big data, how to maximize the use of data to help computers perform information processing has become the hottest research topic in the field of information processing. In recent years, with the advent of the Web 2.0 era, linked data (such as semantic web, knowledge graph, etc.) has attracted widespread attention because of its powerful relationship description capabilities. Linked data refers to data organization forms such as Baidu Encyclopedia and Wikipedia. In this kind of data, each page corresponds to an entity, and there are mutual links between entities, so it is called linked data. With the continuous increase of data scale, it is unrealistic to use manual methods to manage linked d...

AI Technical Summary

Problems solved by technology

Therefore, the statistical classification method based solely on text features has insufficient recognition accuracy and cannot accurately obtain entity categories.

[0006] (2) Many entity pages do not have enough text description information. In this case, simply using text description information to classify entities will inevitably lead to classification errors, and entity categories cannot be obtained through text descriptions.

Images