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Semantic Web Machine Reading with FRED
Published on Nov 28, 2017903 Views
FRED is a machine reader for extracting RDF graphs that are linked to LOD and compliant to Semantic Web and Linked Data patterns. We describe the capabilities of FRED as a semantic middleware for sema
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Chapter list
Semantic Web Machine Reading with FRED00:00
FRED: SW machine reader00:17
Frame-based formal representation00:40
Multiple NLP tools01:32
Semantic web resources01:57
Main contributions of FRED02:15
Main mappings and heuristics02:48
From DRS to RDF/OWL03:17
DRS basic patterns03:45
Box pattern #103:49
Box pattern #204:16
Box pattern #304:46
Complex boxes05:10
Tense, modality and negation05:41
Lightweight negation, why?06:02
Negation06:18
Modality: lightweight representation06:24
Negation06:47
Compositional semantics, taxonomy induction, and quality representation06:54
Compositional semantics: nouns as differentia specifica07:18
Compositional semantics: adjectives as differentia specifica - 107:29
Compositional semantics: adjectives as differentia specifica - 207:51
Periphrastic relations08:22
Linking08:54
Other capabilities09:37
FRED pipeline09:55
Quality10:16
Knowledge extraction tasks: tool comparison10:21
OKE motifs: evaluation results10:37
FRED as a semantic middleware11:16
ssues and Open challenges12:06
Outline12:50