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The Semantic Web – ISWC 2014
AGDISTIS - Graph-Based Disambiguation of Named Entities Using Linked Data
other
Author(s):
Ricardo Usbeck
,
Axel-Cyrille Ngonga Ngomo
,
Michael Röder
,
Daniel Gerber
,
Sandro Athaide Coelho
,
Sören Auer
,
Andreas Both
Publication date
(Print):
2014
Publisher:
Springer International Publishing
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Genome Engineering using CRISPR
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Learning to link with wikipedia
David Milne
,
Ian H. Witten
(2008)
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Entity Linking meets Word Sense Disambiguation: a Unified Approach
Andrea Moro
,
Alessandro Raganato
,
Roberto Navigli
(2014)
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Fast and Accurate Annotation of Short Texts with Wikipedia Pages
Paolo Ferragina
,
Ugo Scaiella
(2012)
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Author and book information
Book Chapter
Publication date (Print):
2014
Pages
: 457-471
DOI:
10.1007/978-3-319-11964-9_29
SO-VID:
924252a2-4bd9-4891-a0e6-2e00f2d74c69
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http://www.springer.com/tdm
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Book chapters
pp. 261
Analyzing Schema.org
pp. 180
Querying Datasets on the Web with High Availability
pp. 197
Diversified Stress Testing of RDF Data Management Systems
pp. 213
LOD Laundromat: A Uniform Way of Publishing Other People’s Dirty Data
pp. 245
Adoption of the Linked Data Best Practices in Different Topical Domains
pp. 277
The WebDataCommons Microdata, RDFa and Microformat Dataset Series
pp. 357
Detecting Errors in Numerical Linked Data Using Cross-Checked Outlier Detection
pp. 425
Dynamic Provenance for SPARQL Updates
pp. 457
AGDISTIS - Graph-Based Disambiguation of Named Entities Using Linked Data
pp. 472
M-ATOLL: A Framework for the Lexicalization of Ontologies in Multiple Languages
pp. 519
Ensemble Learning for Named Entity Recognition
pp. 552
Answering SPARQL Queries over Databases under OWL 2 QL Entailment Regime
pp. 601
How Semantic Technologies Can Enhance Data Access at Siemens Energy
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