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 |
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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 |