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Towards Automating the Synthesis of Chatbots for Conversational Model Query

机译:面向对话模型查询的聊天机器人综合自动化

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Conversational interfaces (also called chatbots) are being increasingly adopted in various domains such as e-commerce or customer service, as a direct communication channel between companies and end-users. Their advantage is that they can be embedded within social networks, and provide a natural language (NL) interface that enables their use by non-technical users. While there are many emerging platforms for building chatbots, their construction remains a highly technical, challenging task. In this paper, we propose the use of chatbots to facilitate querying domain-specific models. This way, instead of relying on technical query languages (e.g., OCL), models are queried using NL as this can be more suitable for non-technical users. To avoid manual programming, our solution is based on the automatic synthesis of the model query chatbots from a domain meta-model. These chatbots communicate with an EMF-based modelling backend using the Xatkit framework.
机译:对话界面(也称为聊天机器人)越来越多地被各个领域(例如电子商务或客户服务)采用,作为公司与最终用户之间的直接交流渠道。它们的优势在于它们可以嵌入社交网络中,并提供自然语言(NL)界面,使非技术用户可以使用它们。尽管有许多用于构建聊天机器人的新兴平台,但其构建仍然是一项技术性很高,具有挑战性的任务。在本文中,我们建议使用聊天机器人来促进查询特定于域的模型。这样,无需依赖技术查询语言(例如OCL),而是使用NL查询模型,因为这可能更适合非技术用户。为了避免手动编程,我们的解决方案基于域元模型对模型查询聊天机器人的自动综合。这些聊天机器人使用Xatkit框架与基于EMF的建模后端进行通信。

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