2017
DOI: 10.3233/sw-170279
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FrameBase: Enabling integration of heterogeneous knowledge

Abstract: Abstract. Large-scale knowledge graphs such as those in the Linked Open Data cloud are typically stored as subjectpredicate-object 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 with… Show more

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Cited by 5 publications
(5 citation statements)
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References 50 publications
(68 reference statements)
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“…Transforming JSON or XML data to relational data to finally generate RDF can be avoided by using RDF as the canonical model instead. To this end, several works have discussed the appropriateness of knowledge graphs for data integration purposes and specifically, as a canonical data model [48][49][50]. An additional benefit of using RDF as a canonical model is that it allows adding semantics without being compliant to a fixed schema.…”
Section: Related Workmentioning
confidence: 99%
“…Transforming JSON or XML data to relational data to finally generate RDF can be avoided by using RDF as the canonical model instead. To this end, several works have discussed the appropriateness of knowledge graphs for data integration purposes and specifically, as a canonical data model [48][49][50]. An additional benefit of using RDF as a canonical model is that it allows adding semantics without being compliant to a fixed schema.…”
Section: Related Workmentioning
confidence: 99%
“…A relationship specifies the semantic association between entities to construct knowledge structure. However, there has been a number of different perspectives to perceive the association between entities form case roles to assertions, and more relations have complicated semantic functions [16], [18], [21]. In reality, relations play a crucial role in representing knowledge structure.…”
Section: B Features Of Relationshipsmentioning
confidence: 99%
“…In addition to temporal and spatial information, much other contextual information such as instrument (e.g., "by the key"), manner (e.g., "3 times a day") and quantity (e.g., "for $300") are also dependent information to relations. A considerable amount of research has been carried out on the underlying structure of relations and emphasized the modalities such as time, manner, instrument, source, and goal as the intrinsic features of relations [16], [20]. It seems quite rational to accept contextual information as the materialization of intensional features of relationships.…”
Section: B Features Of Relationshipsmentioning
confidence: 99%
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“…In the context of the EuroSentiment project, the lemon model has been used to represent language resources for sentiment analysis [19]. lemon is used to model linguistic annotations in FrameBase, a linked open and heterogeneous knowledge base representing various sources of structured knowledge [20]. A diachronic extension of lemon, called lemonDIA, has been described in [21] to model semantic shifts in a lexicon.…”
Section: Introductionmentioning
confidence: 99%