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ZENODO
Software . 2026
License: CC BY
Data sources: Datacite
ZENODO
Software . 2026
License: CC BY
Data sources: Datacite
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IThaKA: a design pattern for collaborative development of reusable AIML chatbots

Authors: Zamora Rey, Jorge;

IThaKA: a design pattern for collaborative development of reusable AIML chatbots

Abstract

This document presents the IThaKA, a comprehensive design pattern for organizing,developing, and maintaining educational chatbots built with AIML (Artificial IntelligenceMarkup Language). The pattern addresses the challenge of building maintainable, reusable,and collaboratively-developed conversational agents for educational contexts (although itcould be applied in different situations). Emerging from a multi-year university chatbotproject, this pattern integrates architectural organization, content structuring, code economytechniques, and collaboration practices into a unified approach. The pattern isplatform-agnostic and applicable to any AIML-based chatbot implementation, whether usingPandorabots, Program-O, or other AIML interpreters.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average