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Scientific modeling / Natural language processing / Knowledge representation and reasoning / Graph / Information extraction / Line graph / Causality / Inference / Connectivity / Graph theory / Reasoning / Graph operations


Using Semantics & Statistics to Turn Data into Knowledge Jay Pujara and Hui Miao Lise Getoor William W. Cohen
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Document Date: 2014-07-01 09:37:41


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City

Ontology / /

Company

Neural Information Processing Systems / MIT Press / Google / D OM R NG I NV / Database Systems / PSL / /

Continent

Asia / /

Country

Kyrgyzstan / Kazakhstan / Russia / United States / Soviet Union / /

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Event

Product Recall / Product Issues / Reorganization / /

Facility

University of Maryland College Park / University of California / Machine Learning Dept. Carnegie Mellon University / /

IndustryTerm

open information extraction systems / Web Data Sources / constraint processing systems / Web movement / Web Sources / Web Conference / knowledge base construction systems / web documents / logic networks / information extraction systems / extraction systems / online encyclopedia / web data / /

Organization

National Science Foundation / MIT / Association for the Advancement / University of Maryland College Park / University of California / Santa Cruz / Artificial Copyright Intelligence / Machine Learning Dept. Carnegie Mellon University Pittsburgh / /

Person

NELL MLN / Hui Miao Lise Getoor William / William W. Cohen / /

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Position

given extractor / extractor / president / model for knowledge graph identification / author / model / structural extractor / /

Product

curve / Alternating DiConstructing / resulting knowledge graph / /

ProgrammingLanguage

R / /

ProvinceOrState

Maryland / Pennsylvania / California / /

PublishedMedium

Communications of the ACM / /

Region

former Soviet Union / /

Technology

bioinformatics / Machine Learning / artificial intelligence / Data Mining / Dom / /

URL

www.aaai.org / /

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