How to summarize big knowledge subjects

Ling Zheng; Yehoshua Perl; James Geller; Gai Elhanan

How to summarize big knowledge subjects

Ling Zheng, Yehoshua Perl, James Geller, Gai Elhanan

Research output: Contribution to journal › Conference article › peer-review

Abstract

One manifestation of the "Big Knowledge" challenge is providing automated tools for summarization of ontology content to facilitate user comprehension. An aggregation approach for the automatic identification and display of major subjects covered by an ontology's content is presented. The results show that our methodology is viable in capturing the "big picture" of ontology content.

Original language	English (US)
Journal	CEUR Workshop Proceedings
Volume	1747
State	Published - 2016
Event	2016 Joint International Conference on Biological Ontology and BioCreative - Food, Nutrition, Health and Environment for the 9 Billion, ICBO-BioCreative 2016 - Corvallis, United States Duration: Aug 1 2016 → Aug 4 2016

All Science Journal Classification (ASJC) codes

General Computer Science

Cite this

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title = "How to summarize big knowledge subjects",

abstract = "One manifestation of the {"}Big Knowledge{"} challenge is providing automated tools for summarization of ontology content to facilitate user comprehension. An aggregation approach for the automatic identification and display of major subjects covered by an ontology's content is presented. The results show that our methodology is viable in capturing the {"}big picture{"} of ontology content.",

author = "Ling Zheng and Yehoshua Perl and James Geller and Gai Elhanan",

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journal = "CEUR Workshop Proceedings",

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TY - JOUR

T1 - How to summarize big knowledge subjects

AU - Zheng, Ling

AU - Perl, Yehoshua

AU - Geller, James

AU - Elhanan, Gai

PY - 2016

Y1 - 2016

N2 - One manifestation of the "Big Knowledge" challenge is providing automated tools for summarization of ontology content to facilitate user comprehension. An aggregation approach for the automatic identification and display of major subjects covered by an ontology's content is presented. The results show that our methodology is viable in capturing the "big picture" of ontology content.

AB - One manifestation of the "Big Knowledge" challenge is providing automated tools for summarization of ontology content to facilitate user comprehension. An aggregation approach for the automatic identification and display of major subjects covered by an ontology's content is presented. The results show that our methodology is viable in capturing the "big picture" of ontology content.

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UR - http://www.scopus.com/inward/citedby.url?scp=85018783644&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:85018783644

SN - 1613-0073

VL - 1747

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

T2 - 2016 Joint International Conference on Biological Ontology and BioCreative - Food, Nutrition, Health and Environment for the 9 Billion, ICBO-BioCreative 2016

Y2 - 1 August 2016 through 4 August 2016

ER -

How to summarize big knowledge subjects

Abstract

All Science Journal Classification (ASJC) codes

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