GrandBase: generating actionable knowledge from Big Data

PSU Research Review

Xiu Susie Fang¹ 

关键词: Big Data;    Information extraction;    DOM trees;    Knowledge bases;    Multi-valued predicates;    Truth discovery;   

DOI  :  10.1108/PRR-01-2017-0005

学科分类：社会科学、人文和艺术（综合）

来源: Emerald Publishing

【 摘 要 】

Purpose This paper aims to propose a system for generating actionable knowledge from Big Data and use this system to construct a comprehensive knowledge base (KB), called GrandBase. Design/methodology/approach In particular, this study extracts new predicates from four types of data sources, namely, Web texts, Document Object Model (DOM) trees, existing KBs and query stream to augment the ontology of the existing KB (i.e. Freebase). In addition, a graph-based approach to conduct better truth discovery for multi-valued predicates is also proposed. Findings Empirical studies demonstrate the effectiveness of the approaches presented in this study and the potential of GrandBase. The future research directions regarding GrandBase construction and extension has also been discussed. Originality/value To revolutionize our modern society by using the wisdom of Big Data, considerable KBs have been constructed to feed the massive knowledge-driven applications with Resource Description Framework triples. The importan...

【 授权许可】

CC BY