Enhancing Community Interactions with Data-Driven Chatbots - The DBpedia Chatbot

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Authors

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.

Original languageEnglish
Title of host publicationThe Web Conference 2018 - Companion of the World Wide Web Conference, WWW 2018
EditorsPierre-Antoine Champin, Fabien Gandon, Lionel Medini
Number of pages4
PublisherAssociation for Computing Machinery, Inc
Publication date23.04.2018
Pages143-146
ISBN (Print)978-1-4503-5640-4
DOIs
Publication statusPublished - 23.04.2018
Externally publishedYes
Event27th International World Wide Web, WWW 2018: Bridging natural and artificial intelligence worldwide - Universität Lyon, Lyon, France
Duration: 23.04.201827.04.2018
https://archives.iw3c2.org/www2018/

Bibliographical note

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.

DOI