dc.creator | Estrada Torres, Bedilia | es |
dc.creator | Río Ortega, Adela del | es |
dc.creator | Resinas Arias de Reyna, Manuel | es |
dc.date.accessioned | 2022-03-16T11:39:13Z | |
dc.date.available | 2022-03-16T11:39:13Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Estrada Torres, B., Río Ortega, A.d. y Resinas Arias de Reyna, M. (2021). DemaBot: a tool to automatically generate decision-support chatbots. En BPM 2021: Best Dissertation Award, Doctoral Consortium, and Demonstration & Resources Track co-located with 19th International Conference on Business Process Management (141-145), Rome, Italy: CEUR Workshop Proceedings (CEUR-WS.org). | |
dc.identifier.issn | 1613-0073 | es |
dc.identifier.uri | https://hdl.handle.net/11441/130866 | |
dc.description.abstract | This article presents DemaBot: a low-code solution to create chatbots designed to automate decision making. Examples of these chatbots range from COVID-19 screening to first-line incident support,
amongst others. Using DemaBot, the developer only needs to model the decision that the chatbot will
automate using DMN and, optionally, customize the utterances that the chatbot will use to interact with
the user. From this information, DemaBot generates automatically the complete set of components that
implement a ready-to-use chatbot. Furthermore, it provides help to guide users during the conversation,
and optimizes the conversation flow, being able to recognize several parameters in a single turn and
asking only for those that are indispensable for the decision. | es |
dc.description.sponsorship | Ministerio de Ciencia e Innovación OPHELIA (RTI2018101204-B-C22) | es |
dc.description.sponsorship | Junta de Andalucía EKIPMENT-PLUS (P18-FR-2895) | es |
dc.format | application/pdf | es |
dc.format.extent | 5 | es |
dc.language.iso | eng | es |
dc.publisher | CEUR Workshop Proceedings (CEUR-WS.org) | es |
dc.relation.ispartof | BPM 2021: Best Dissertation Award, Doctoral Consortium, and Demonstration & Resources Track co-located with 19th International Conference on Business Process Management (2021), pp. 141-145. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Decisions-support chatbot | es |
dc.subject | DMN | es |
dc.subject | Natural language understanding | es |
dc.title | DemaBot: a tool to automatically generate decision-support chatbots | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos | es |
dc.relation.projectID | OPHELIA RTI2018-101204-B-C22 | es |
dc.relation.projectID | EKIPMENT-PLUS (P18-FR-2895) | es |
dc.relation.publisherversion | http://ceur-ws.org/Vol-2973/ | es |
dc.contributor.group | Universidad de Sevilla. TIC205: Ingeniería del Software Aplicada | es |
dc.publication.initialPage | 141 | es |
dc.publication.endPage | 145 | es |
dc.eventtitle | BPM 2021: Best Dissertation Award, Doctoral Consortium, and Demonstration & Resources Track co-located with 19th International Conference on Business Process Management | es |
dc.eventinstitution | Rome, Italy | es |
dc.relation.publicationplace | Aachen, Germany | es |
dc.contributor.funder | Ministerio de Ciencia e Innovación (MICIN). España | es |
dc.contributor.funder | Junta de Andalucía | es |