Lock in $30 Savings on PRO—Offer Ends Soon! ⏳
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
DRETa: Extracting RDF from Wikitables [POSTER]
Search
Emir Muñoz
October 23, 2013
Research
0
62
DRETa: Extracting RDF from Wikitables [POSTER]
DRETa: Extracting RDF from Wikitables
Posters & Demos @ ISWC 2013
Emir Muñoz
October 23, 2013
Tweet
Share
More Decks by Emir Muñoz
See All by Emir Muñoz
Machine Learning Pipelines in Production - ML Galway Meetup
emunoz
0
73
Academic Writing: Hints and Tools
emunoz
0
150
Mining Cardinalities from Knowledge Bases
emunoz
0
230
Using Drug Similarities for Discovery of Possible Adverse Reactions
emunoz
0
140
A Hybrid Method for Rating Prediction Using Linked Data Features and Text Reviews
emunoz
0
220
On Learnability of Cardinality Constraints from RDF Data
emunoz
0
180
Minute Madness ESWC 2016
emunoz
0
110
Tensor Networks---a brief description
emunoz
0
110
A Linked Data-Based Decision Tree Classifier to Review Movies
emunoz
1
240
Other Decks in Research
See All in Research
[Devfest Incheon 2025] 모두를 위한 친절한 언어모델(LLM) 학습 가이드
beomi
2
1.2k
機械学習と数理最適化の融合 (MOAI) による革新
mickey_kubo
1
440
若手研究者が国際会議(例えばIROS)でワークショップを企画するメリットと成功法!
tanichu
0
130
Unsupervised Domain Adaptation Architecture Search with Self-Training for Land Cover Mapping
satai
3
420
Sat2City:3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion
satai
4
370
論文紹介:Safety Alignment Should be Made More Than Just a Few Tokens Deep
kazutoshishinoda
0
150
[論文紹介] Intuitive Fine-Tuning
ryou0634
0
160
国際論文を出そう!ICRA / IROS / RA-L への論文投稿の心構えとノウハウ / RSJ2025 Luncheon Seminar
koide3
11
6.4k
ロボット学習における大規模検索技術の展開と応用
denkiwakame
1
180
AIスパコン「さくらONE」の オブザーバビリティ / Observability for AI Supercomputer SAKURAONE
yuukit
2
1k
論文紹介:Not All Tokens Are What You Need for Pretraining
kosuken
1
220
AIグラフィックデザインの進化:断片から統合(One Piece)へ / From Fragment to One Piece: A Survey on AI-Driven Graphic Design
shunk031
0
580
Featured
See All Featured
Art, The Web, and Tiny UX
lynnandtonic
304
21k
We Are The Robots
honzajavorek
0
120
Leveraging Curiosity to Care for An Aging Population
cassininazir
1
130
Docker and Python
trallard
47
3.7k
YesSQL, Process and Tooling at Scale
rocio
174
15k
世界の人気アプリ100個を分析して見えたペイウォール設計の心得
akihiro_kokubo
PRO
64
35k
Public Speaking Without Barfing On Your Shoes - THAT 2023
reverentgeek
1
280
Sam Torres - BigQuery for SEOs
techseoconnect
PRO
0
140
Creating an realtime collaboration tool: Agile Flush - .NET Oxford
marcduiker
35
2.3k
CoffeeScript is Beautiful & I Never Want to Write Plain JavaScript Again
sstephenson
162
16k
Max Prin - Stacking Signals: How International SEO Comes Together (And Falls Apart)
techseoconnect
PRO
0
48
Embracing the Ebb and Flow
colly
88
4.9k
Transcript
Enabling Networked Knowledge ACKNOWLEDGEMENTS: This work was funded in part
by Science Foundation Ireland under Grant No. SFI/08/CE/I1380 (Lion-2). DRETA: EXTRACTING RDF FROM WIKITABLES Emir Muñoz, Aidan Hogan, Alessandra Mileo National University of Ireland, Galway MOTIVATION WIKITABLE SURVEY player http://dbpedia.org/resource/David_de_Gea http://dbpedia.org/resource/Rafael_Pereira_da_Silva_(footballer_born_1990) http://dbpedia.org/resource/Patrice_Evra …. http://dbpedia.org/resource/Fabio_Pereira_da_Silva http://dbpedia.org/resource/Tom_Cleverley http://dbpedia.org/resource/Darren_Fletcher PROPOSAL http://dbpedia.org/resource/Manchester_United_F.C. http://dbpedia.org/resource/England http://dbpedia.org/resource/Forward_(association_football) http://dbpedia.org/resource/Wayne_Rooney dbo:birthPlace dbp:currentclub dbp:position http://dbpedia.org/resource/Spain http://dbpedia.org/resource/Goalkeeper_(association_football) http://dbpedia.org/resource/David_de_Gea dbp:position http://dbpedia.org/resource/Brazil http://dbpedia.org/resource/Defender_(association_football) http://dbpedia.org/resource/Fabio_Pereira_da_Silva dbp:position … … (1) dbr:David_de_Gea dbo:birthPlace dbr:Spain . (2) dbr:Fabio_Pereira_de_Silva dbo:birthPlace dbr:Brazil . (3) dbr:Fabio_Pereira_de_Silva dbp:currentclub dbr:Manchester_United_F.C . SUGGESTED TRIPLES: SELECT ?player WHERE { ?player dbp:currentclub dbr:Manchester_United_F.C . } TABLE TAXONOMY: DISTRIBUTIONS: QUERY: RESULTS DEMO … http://emunoz.org/wikitables (1) EXTRACTED 34.9 MILLION UNIQUE & NOVEL TRIPLES FROM 1.14 MILLION WIKITABLES (8 MACHINES: 4GB RAM, 2.2 GHZ SINGLE CORE; 12 DAYS) (2) INITIAL EVALUATION: (MANUAL ANNOTATION; THREE JUDGES; 750 TRIPLES EACH) (3) MACHINE LEARNING CLASSIFIERS: (CONSENSUS GOLD STANDARD; VARIETY OF FEATURES) FROM 1.14 MILLION WIKITABLES: BAGGING DECISION TREES: SUPPORT VECTOR MACHINES: 1.14 MILLION WIKITABLES: 7.9 MILLION TRIPLES @81.5% PREC. 15.3 MILLION TRIPLES @72.4% PREC. … INCOMPLETE RESULTS!