Towards building open knowledge base from programming question-answering communities

Wei Emma Zhang; Ermyas Abebe; Quan Z. Sheng; Kerry Taylor

Towards building open knowledge base from programming question-answering communities

Wei Emma Zhang, Ermyas Abebe, Quan Z. Sheng, Kerry Taylor

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

Abstract

In this paper, we propose the first system, so-called Open Programming Knowledge Extraction (OPKE), to automatically extract knowledge from programming Question-Answering (QA) communities. OPKE is the first step of building a programming-centric knowledge base. Data mining and Natural Language Processing techniques are leveraged to identify duplicate questions and construct structured information. Preliminary evaluation shows the effectiveness of OPKE.

Original language	English
Pages (from-to)	1-4
Number of pages	4
Journal	CEUR Workshop Proceedings
Volume	1690
Publication status	Published - 2016
Externally published	Yes
Event	15th International Semantic Web Conference (ISWC 2016) - Kobe, Japan, Kobe Duration: 19 Oct 2016 → 19 Oct 2016

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http://ceur-ws.org/Vol-1690/paper36.pdf

Cite this

@article{5189df2e5c2d4a22bfe3b12113d0b950,

title = "Towards building open knowledge base from programming question-answering communities",

abstract = "In this paper, we propose the first system, so-called Open Programming Knowledge Extraction (OPKE), to automatically extract knowledge from programming Question-Answering (QA) communities. OPKE is the first step of building a programming-centric knowledge base. Data mining and Natural Language Processing techniques are leveraged to identify duplicate questions and construct structured information. Preliminary evaluation shows the effectiveness of OPKE.",

author = "Zhang, \{Wei Emma\} and Ermyas Abebe and Sheng, \{Quan Z.\} and Kerry Taylor",

year = "2016",

language = "English",

volume = "1690",

pages = "1--4",

journal = "CEUR Workshop Proceedings",

issn = "1613-0073",

publisher = "RWTH Aachen University",

note = "15th International Semantic Web Conference (ISWC 2016) ; Conference date: 19-10-2016 Through 19-10-2016",

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TY - JOUR

T1 - Towards building open knowledge base from programming question-answering communities

AU - Zhang, Wei Emma

AU - Abebe, Ermyas

AU - Sheng, Quan Z.

AU - Taylor, Kerry

PY - 2016

Y1 - 2016

N2 - In this paper, we propose the first system, so-called Open Programming Knowledge Extraction (OPKE), to automatically extract knowledge from programming Question-Answering (QA) communities. OPKE is the first step of building a programming-centric knowledge base. Data mining and Natural Language Processing techniques are leveraged to identify duplicate questions and construct structured information. Preliminary evaluation shows the effectiveness of OPKE.

AB - In this paper, we propose the first system, so-called Open Programming Knowledge Extraction (OPKE), to automatically extract knowledge from programming Question-Answering (QA) communities. OPKE is the first step of building a programming-centric knowledge base. Data mining and Natural Language Processing techniques are leveraged to identify duplicate questions and construct structured information. Preliminary evaluation shows the effectiveness of OPKE.

UR - https://www.scopus.com/pages/publications/84992377629

UR - http://ceur-ws.org/Vol-1690/

M3 - Conference paper

AN - SCOPUS:84992377629

SN - 1613-0073

VL - 1690

SP - 1

EP - 4

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

T2 - 15th International Semantic Web Conference (ISWC 2016)

Y2 - 19 October 2016 through 19 October 2016

ER -

Towards building open knowledge base from programming question-answering communities

Abstract

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