Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/3463677.3463681acmotherconferencesArticle/Chapter ViewAbstractPublication Pagesdg-oConference Proceedingsconference-collections
research-article

A Chatbot for Searching and Exploring Open Data: Implementation and Evaluation in E-Government

Published: 09 June 2021 Publication History

Abstract

In this paper, we present a chatbot to access open government data. Differently to similar systems reported in the research literature, the developed chatbot not only allows searching for data collections, but also exploring information within the collections. The exploration is done via complex queries that are easily built by non-expert users through a natural language conversation. Moreover, as another novel, differentiating contribution, we report a conducted user study aimed to evaluate the chatbot according to the achievement of a number of public service values, as well as measuring distinct objective and subjective metrics. Experimental results show that the proposed system outperforms traditional methods followed in open data portals.

References

[1]
Aggeliki Androutsopoulou, Nikos Karacapilidis, Euripidis Loukis, and Yannis Charalabidis. 2019. Transforming the communication between citizens and government through AI-guided chatbots. Government Information Quarterly 36, 2 (2019), 358–367.
[2]
Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, and Azzurra Ragone. 2019. Anna: A virtual assistant to interact with Puglia Digital Library (discussion paper). In 27th Italian Symposium on Advanced Database Systems.
[3]
Naomi Aoki. 2020. An experimental study of public trust in AI chatbots in the public sector. Government Information Quarterly 37, 4 (2020), 101490.
[4]
Shubham Atreja, Pooja Aggarwal, Prateeti Mohapatra, Amol Dumrewal, Anwesh Basu, and Gargi B Dasgupta. 2018. Citicafe: An interactive interface for citizen engagement. In 23rd International Conference on Intelligent User Interfaces. ACM, 617–628.
[5]
Christian Bizer, Tom Heath, and Tim Berners-Lee. 2011. Linked Data: The story so far. In Semantic services, interoperability and web applications: Emerging concepts. IGI Global, 205–227.
[6]
Iván Cantador, María E Cortés-Cediel, and Miriam Fernández. 2020. Exploiting Open Data to analyze discussion and controversy in online citizen participation. Information Processing & Management 57, 5 (2020), 102301.
[7]
Robert Dale. 2016. The return of the chatbots. Natural Language Engineering 22, 5 (2016), 811–817.
[8]
Yingying Gao and Marijn Janssen. 2020. Generating value from government data using AI: An exploratory study. In 19th IFIP WG 8.5 International Conference on Electronic Government. Springer, 319–331.
[9]
Julien Hivon and Ryad Titah. 2017. Conceptualizing citizen participation in Open Data use at the city level. Transforming Government: People, Process and Policy 11, 1 (2017), 99–118.
[10]
Marijn Janssen, Yannis Charalabidis, and Anneke Zuiderwijk. 2012. Benefits, adoption barriers and myths of open data and open government. Information Systems Management 29, 4 (2012), 258–268.
[11]
Sophia Keyner, Vadim Savenkov, and Svitlana Vakulenko. 2019. Open data chatbot. In 16th European Semantic Web Conference. Springer, 111–115.
[12]
Sara Lafia, Jingyi Xiao, Thomas Hervey, and Werner Kuhn. 2019. Talk of the town: Discovering open public data via voice assistants. In 14th International Conference on Spatial Information Theory. Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik, 10:1–10:7.
[13]
Daniel Lathrop and Laurel Ruma. 2010. Open government: Collaboration, transparency, and participation in practice. O’Reilly Media, Inc.
[14]
Andreas Lommatzsch. 2018. A next generation chatbot-framework for the public administration. In 18th International Conference on Innovations for Community Services. Springer, 127–141.
[15]
Ann Macintosh. 2008. E-democracy and e-participation research in Europe. In Digital government. Springer, 85–102.
[16]
Tendai Makasi, Alireza Nili, Kevin Desouza, and Mary Tate. 2020. Chatbot-mediated public service delivery. First Monday 12, 25 (2020).
[17]
Stavros Mallios and Nikolaos Bourbakis. 2016. A survey on human machine dialogue systems. In Prodeedings of the 2016 7th International Conference on Information, Intelligence, Systems & Applications. IEEE, 1–7.
[18]
Wari Maroengsit, Thanarath Piyakulpinyo, Korawat Phonyiam, Suporn Pongnumkul, Pimwadee Chaovalit, and Thanaruk Theeramunkong. 2019. A survey on evaluation methods for chatbots. In 2019 7th International Conference on Information and Education Technology. ACM, 111–119.
[19]
Sebastian Neumaier, Vadim Savenkov, and Svitlana Vakulenko. 2017. Talking open data. In 14th European Semantic Web Conference. Springer, 132–136.
[20]
Dijana Peras. 2018. Chatbot evaluation metrics. In 36th International Scientific Conference on Economic and Social Development. Varazdin Development and Entrepreneurship Agency, 89–97.
[21]
Yulia Petriv, Regina Erlenheim, Valentyna Tsap, Ingrid Pappel, and Dirk Draheim. 2019. Designing Effective Chatbot Solutions for the Public Sector: A Case Study from Ukraine. In 6th International Conference on Electronic Governance and Open Society: Challenges in Eurasia. Springer, 320–335.
[22]
Simone Porreca, Francesco Leotta, Massimo Mecella, and Tiziana Catarci. 2017. Chatbots as a novel access method for government open data. In 25th Italian Symposium on Advanced Database Systems. CEUR Workshops, 122–129.
[23]
Simone Porreca, Francesco Leotta, Massimo Mecella, Stavros Vassos, and Tiziana Catarci. 2017. Accessing government open data through chatbots. In 17th International Conference on Web Engineering. Springer, 156–165.
[24]
Ranci Ren, John W Castro, Silvia T Acuña, and Juan de Lara. 2019. Evaluation Techniques for Chatbot Usability: A Systematic Mapping Study. Intl. Journal of Software Engineering and Knowledge Engineering 29, 11n12(2019), 1673–1702.
[25]
Stanislav Ronzhin, Erwin Folmer, Pano Maria, Marco Brattinga, Wouter Beek, Rob Lemmens, and Rein van’t Veer. 2019. Kadaster knowledge graph: Beyond the fifth star of open data. Information 10, 10 (2019), 310.
[26]
Navid Tavanapour, Mathis Poser, and Eva AC Bittner. 2019. Supporting the idea generation process in citizen participation - Toward an interactive system with a conversational agent as facilitator. In 27th European Conference on Information Systems. Association for Information Systems.
[27]
Camilo Thorne. 2017. Chatbots for troubleshooting: A survey. Language and Linguistics Compass 11, 10 (2017), e12253.
[28]
Vishanth Weerakkody, Zahir Irani, Kawal Kapoor, Uthayasankar Sivarajah, and Yogesh K Dwivedi. 2017. Open data and its usability: an empirical view from the Citizen’s perspective. Information Systems Frontiers 19, 2 (2017), 285–300.
[29]
Matthew M Young. 2020. Implementation of Digital-Era Governance: The Case of Open Data in US Cities. Public Administration Review 80, 2 (2020), 305–315.

Cited By

View all
  • (2024)Exploring Interpretability in Open Government Data with ChatGPTProceedings of the 25th Annual International Conference on Digital Government Research10.1145/3657054.3657079(186-195)Online publication date: 11-Jun-2024
  • (2024)Automatic Generation of Conversational Interfaces for Tabular Data AnalysisProceedings of the 6th ACM Conference on Conversational User Interfaces10.1145/3640794.3665577(1-6)Online publication date: 8-Jul-2024
  • (2024)Uncovering the Results of AI Chatbot Use in the Public Sector: Evidence from US State GovernmentsPublic Performance & Management Review10.1080/15309576.2024.2389864(1-26)Online publication date: 9-Aug-2024
  • Show More Cited By

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences
dg.o '21: Proceedings of the 22nd Annual International Conference on Digital Government Research
June 2021
600 pages
ISBN:9781450384926
DOI:10.1145/3463677
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 June 2021

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. chatbots
  2. e-government
  3. open data
  4. open government
  5. public values

Qualifiers

  • Research-article
  • Research
  • Refereed limited

Funding Sources

Conference

DG.O'21

Acceptance Rates

Overall Acceptance Rate 150 of 271 submissions, 55%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)130
  • Downloads (Last 6 weeks)22
Reflects downloads up to 09 Nov 2024

Other Metrics

Citations

Cited By

View all
  • (2024)Exploring Interpretability in Open Government Data with ChatGPTProceedings of the 25th Annual International Conference on Digital Government Research10.1145/3657054.3657079(186-195)Online publication date: 11-Jun-2024
  • (2024)Automatic Generation of Conversational Interfaces for Tabular Data AnalysisProceedings of the 6th ACM Conference on Conversational User Interfaces10.1145/3640794.3665577(1-6)Online publication date: 8-Jul-2024
  • (2024)Uncovering the Results of AI Chatbot Use in the Public Sector: Evidence from US State GovernmentsPublic Performance & Management Review10.1080/15309576.2024.2389864(1-26)Online publication date: 9-Aug-2024
  • (2024)Chatbot application training using natural language processing techniques: Case of small-scale agriculturePROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON GREEN ENGINEERING & TECHNOLOGY 2022 (ICONGETECH 2022)10.1063/5.0199126(050068)Online publication date: 2024
  • (2023)Enhancing Legally-Based E-Government Services in Education Through Artificial IntelligenceInternational Journal of Cognitive Research in Science, Engineering and Education (IJCRSEE)10.23947/2334-8496-2023-11-3-511-51811:3(511-518)Online publication date: 20-Dec-2023
  • (2023)The Adoption and Implementation of Artificial Intelligence Chatbots in Public Organizations: Evidence from U.S. State GovernmentsThe American Review of Public Administration10.1177/0275074023120052254:3(255-270)Online publication date: 11-Sep-2023
  • (2023)Hippolyta: a framework to enhance open data interpretability and empower citizensProceedings of the 24th Annual International Conference on Digital Government Research10.1145/3598469.3598559(191-198)Online publication date: 11-Jul-2023
  • (2023)Daeng AMANG: A Novel AIML Based Chatbot for Information Security TrainingArtificial Intelligence Application in Networks and Systems10.1007/978-3-031-35314-7_28(297-305)Online publication date: 9-Jul-2023
  • (2022)Review on the Application of Artificial Intelligence-Based Chatbots in Public AdministrationHandbook of Research on Applied Artificial Intelligence and Robotics for Government Processes10.4018/978-1-6684-5624-8.ch007(133-155)Online publication date: 16-Sep-2022
  • (2022)A Speech-Based AI for Political ParticipationProceedings of Mensch und Computer 202210.1145/3543758.3549889(462-466)Online publication date: 4-Sep-2022
  • Show More Cited By

View Options

Get Access

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format.

HTML Format

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media