Sar-graphs: A Linked Linguistic Knowledge Resource Connecting Facts with Language

Abstract

We present sar-graphs, a knowledge resource that links semantic relations from factual knowledge graphs to the linguistic patterns with which a language can express instances of these relations. Sar-graphs expand upon existing lexicosemantic resources by modeling syntactic and semantic information at the level of relations, and are hence useful for tasks such as knowledge base population and relation extraction. We present a languageindependent method to automatically construct sar-graph instances that is based on distantly supervised relation extraction. We link sar-graphs at the lexical level to BabelNet, WordNet and UBY, and present our ongoing work on pattern- and relationlevel linking to FrameNet. An initial dataset of English sar-graphs for 25 relations is made publicly available, together with a Java-based API.