publication . Report . Project deliverable . 2018

BigDataGrapes D3.4 - Linguistic Pipelines for Semantic Enrichment

Yankova; Milena; Alexiev, Vladimir; Primov, Todor; Rusinov, Nikola;
Open Access English
  • Published: 20 Dec 2018
Abstract
This deliverable is the third report on the progress of T3.4 Semantic Enrichment. It aims to describe the practical application of advanced text analytics pipelines used to extract and semantically annotate information from unstructured textual data sources from the Big Data Grapes (BDG) data pool. The report describes the practical approach of designing a source knowledge graph for wine and wine review related information; semantic data fusion with basic ontologies and thesauri of relevant terminologies from the BigDataGrapes data pool; designing named entity recognition pipelines for data extraction public wine reviews and configuration of semantic search on t...
Subjects
free text keywords: Semantic; linguistic pipelines; text analytics, Semantic; linguistic pipelines; text analytics
Funded by
EC| BigDataGrapes
Project
BigDataGrapes
Big Data to Enable Global Disruption of the Grapevine-powered Industries
  • Funder: European Commission (EC)
  • Project Code: 780751
  • Funding stream: H2020 | RIA
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Project deliverable . 2018
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Report . 2018
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Project deliverable . 2018
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