Managing Large Volumes of Interlinked Text and Knowledge With the KnowledgeStore-Reference-Cited by-同舟云学术

Managing Large Volumes of Interlinked Text and Knowledge With the KnowledgeStore

Published:2018 Issue: Volume: Page:32-61
ISSN:2328-2762
Container-title:Innovations, Developments, and Applications of Semantic Web and Information Systems
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Author:

Corcoglioniti Francesco¹,Rospocher Marco¹,Cattoni Roldano¹,Magnini Bernardo¹,Serafini Luciano¹

Affiliation:

1. Fondazione Bruno Kessler, Italy

Abstract

This chapter describes the KnowledgeStore, a scalable, fault-tolerant, and Semantic Web grounded open-source storage system to jointly store, manage, retrieve, and query interlinked structured and unstructured data, especially designed to manage all the data involved in Knowledge Extraction applications. The chapter presents the concept, design, function and implementation of the KnowledgeStore, and reports on its concrete usage in four application scenarios within the NewsReader EU project, where it has been successfully used to store and support the querying of millions of news articles interlinked with billions of RDF triples, both extracted from text and imported from Linked Open Data sources.

Publisher

IGI Global

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