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 article › 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
Journal	CEUR Workshop Proceedings
Volume	1690
Publication status	Published - 2016
Event	2016 Posters and Demonstrations Track, ISWC P and D 2016 - Kobe, Japan Duration: 19 Oct 2016 → …

Cite this

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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",

journal = "CEUR Workshop Proceedings",

issn = "1613-0073",

publisher = "CEUR-WS",

note = "2016 Posters and Demonstrations Track, ISWC P and D 2016 ; Conference date: 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 - http://www.scopus.com/inward/record.url?scp=84992377629&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:84992377629

SN - 1613-0073

VL - 1690

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

T2 - 2016 Posters and Demonstrations Track, ISWC P and D 2016

Y2 - 19 October 2016

ER -

Towards building open knowledge base from programming question-answering communities

Abstract

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