Towards building open knowledge base from programming question-answering communities

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dc.contributor.authorZhang, Wei Emmaen
dc.contributor.authorAbebe, Ermyasen
dc.contributor.authorSheng, Quan Z.en
dc.contributor.authorTaylor, Kerryen
dc.date.accessioned2025-12-31T17:42:31Z
dc.date.available2025-12-31T17:42:31Z
dc.date.issued2016en
dc.description.abstractIn 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.en
dc.description.statusPeer-revieweden
dc.identifier.issn1613-0073en
dc.identifier.scopus84992377629en
dc.identifier.urihttps://hdl.handle.net/1885/733797605
dc.language.isoenen
dc.relation.ispartofseries2016 Posters and Demonstrations Track, ISWC P and D 2016en
dc.sourceCEUR Workshop Proceedingsen
dc.titleTowards building open knowledge base from programming question-answering communitiesen
dc.typeConference paperen
dspace.entity.typePublicationen
local.contributor.affiliationZhang, Wei Emma; University of Adelaideen
local.contributor.affiliationAbebe, Ermyas; IBMen
local.contributor.affiliationSheng, Quan Z.; University of Adelaideen
local.contributor.affiliationTaylor, Kerry; School of Computing, ANU College of Systems and Society, The Australian National Universityen
local.identifier.ariespublicationU3488905xPUB25340en
local.identifier.citationvolume1690en
local.identifier.pured6e8491e-d3b7-4fe9-ac1b-413ec8aee769en
local.identifier.urlhttps://www.scopus.com/pages/publications/84992377629en
local.type.statusPublisheden

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