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FrameBase: Enabling integration of heterogeneous knowledge

Journal article
Authors Jacobo Rouces
G. de Melo
K. Hose
Published in Semantic Web
Volume 8
Issue 6
Pages 817-850
ISSN 1570-0844
Publication year 2017
Published at Department of Swedish
Pages 817-850
Language English
Links dx.doi.org/10.3233/sw-170279
Keywords Knowledge representation, semantic web, n-ary relations, frames, reification, semantic integration, ontology design patterns, semantic web, wikipedia, alignment, Computer Science, nmark, v257, p291, OCEEDINGS OF THE CONFERENCE38th Annual Meeting of the Association-for-Computational-
Subject categories Language Technology (Computational Linguistics)

Abstract

Large-scale knowledge graphs such as those in the Linked Open Data cloud are typically stored as subject-predicateobject triples. However, many facts about the world involve more than two entities. While n-ary relations can be converted to triples in a number of ways, unfortunately, the structurally different choices made in different knowledge sources significantly impede our ability to connect them. They also increase semantic heterogeneity, making it impossible to query the data concisely and without prior knowledge of each individual source. This article presents FrameBase, a wide-coverage knowledge base schema that uses linguistic frames to represent and query n-ary relations from other knowledge bases, providing multiple levels of granularity connected via logical entailment. Overall, this provides a means for semantic integration from heterogeneous sources under a single schema and opens up possibilities to draw on natural language processing techniques for querying and data mining.

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