Enhancing Community Interactions with Data-Driven Chatbots - The DBpedia Chatbot
Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
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The Web Conference 2018 - Companion of the World Wide Web Conference, WWW 2018. Hrsg. / Pierre-Antoine Champin; Fabien Gandon; Lionel Medini. Association for Computing Machinery, Inc, 2018. S. 143-146 (The Web Conference 2018 - Companion of the World Wide Web Conference, WWW 2018).
Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
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TY - CHAP
T1 - Enhancing Community Interactions with Data-Driven Chatbots - The DBpedia Chatbot
AU - Athreya, Ram G.
AU - Ngonga Ngomo, Axel Cyrille
AU - Usbeck, Ricardo
N1 - This work has been supported by the BMVI projects LIMBO (project no. 19F2029C) and OPAL (project no. 19F20284) as well as by the German Federal Ministry of Education and Research (BMBF) within ’KMU-innovativ: Forschung für die zivile Sicherheit’ in particular ’Forschung für die zivile Sicherheit’ and the project SOLIDE (no. 13N14456). Publisher Copyright: © 2018 IW3C2 (International World Wide Web Conference Committee), published under Creative Commons CC BY 4.0 License.
PY - 2018/4/23
Y1 - 2018/4/23
N2 - In this demo, we introduce the DBpedia chatbot, a knowledge-graph-driven chatbot designed to optimize community interaction. The bot was designed for integration into community software to facilitate the answering of recurrent questions. Four main challenges were addressed when building the chatbot, namely (1) understanding user queries, (2) fetching relevant information based on the queries, (3) tailoring the responses based on the standards of each output platform (i.e. Web, Slack, Facebook) as well as (4) developing subsequent user interactions with the DBpedia chatbot. With this demo, we will showcase our solutions to these four challenges.
AB - In this demo, we introduce the DBpedia chatbot, a knowledge-graph-driven chatbot designed to optimize community interaction. The bot was designed for integration into community software to facilitate the answering of recurrent questions. Four main challenges were addressed when building the chatbot, namely (1) understanding user queries, (2) fetching relevant information based on the queries, (3) tailoring the responses based on the standards of each output platform (i.e. Web, Slack, Facebook) as well as (4) developing subsequent user interactions with the DBpedia chatbot. With this demo, we will showcase our solutions to these four challenges.
KW - chatbot
KW - dbpedia
KW - knowledge base
KW - question answering
KW - Informatics
KW - Business informatics
UR - http://www.scopus.com/inward/record.url?scp=85054836778&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/80292235-659e-3934-b492-9db5ebb0d420/
U2 - 10.1145/3184558.3186964
DO - 10.1145/3184558.3186964
M3 - Article in conference proceedings
AN - SCOPUS:85054836778
SN - 978-1-4503-5640-4
T3 - The Web Conference 2018 - Companion of the World Wide Web Conference, WWW 2018
SP - 143
EP - 146
BT - The Web Conference 2018 - Companion of the World Wide Web Conference, WWW 2018
A2 - Champin, Pierre-Antoine
A2 - Gandon, Fabien
A2 - Medini, Lionel
PB - Association for Computing Machinery, Inc
T2 - 27th International World Wide Web, WWW 2018
Y2 - 23 April 2018 through 27 April 2018
ER -