Frame-based ontology population with PIKES
F Corcoglioniti, M Rospocher… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
We present an approach for ontology population from natural language English texts that
extracts RDF triples according to FrameBase, a Semantic Web ontology derived from
FrameNet. Processing is decoupled in two independently-tunable phases. First, text is
processed by several NLP tasks, including Semantic Role Labeling (SRL), whose results
are integrated in an RDF graph of mentions, ie, snippets of text denoting some entity/fact.
Then, the mention graph is processed with SPARQL-like rules using a specifically created …
extracts RDF triples according to FrameBase, a Semantic Web ontology derived from
FrameNet. Processing is decoupled in two independently-tunable phases. First, text is
processed by several NLP tasks, including Semantic Role Labeling (SRL), whose results
are integrated in an RDF graph of mentions, ie, snippets of text denoting some entity/fact.
Then, the mention graph is processed with SPARQL-like rules using a specifically created …
Frame-Based Ontology Population with PIKES
C Francesco, M Rospocher, PA Alessio - IEEE TRANSACTIONS ON …, 2016 - iris.univr.it
We present an approach for ontology population from natural language English texts that
extracts RDF triples according to FrameBase, a Semantic Web ontology derived from
FrameNet. Processing is decoupled in two independently-tunable phases. First, text is
processed by several NLP tasks, including Semantic Role Labeling (SRL), whose results
are integrated in an RDF graph of mentions, ie, snippets of text denoting some entity/fact.
Then, the mention graph is processed with SPARQL-like rules using a specifically created …
extracts RDF triples according to FrameBase, a Semantic Web ontology derived from
FrameNet. Processing is decoupled in two independently-tunable phases. First, text is
processed by several NLP tasks, including Semantic Role Labeling (SRL), whose results
are integrated in an RDF graph of mentions, ie, snippets of text denoting some entity/fact.
Then, the mention graph is processed with SPARQL-like rules using a specifically created …
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