蓝色亚马逊大脑（BLAB）：巴西海洋领土服务的模块化架构
The BLue Amazon Brain (BLAB): A Modular Architecture of Services about the Brazilian Maritime Territory
摘要：
我们描述的第一个步骤，在发展中的人工代理集中在巴西的海洋领土，一个大的区域内的南大西洋也被称为蓝色亚马逊。“蓝色亚马逊大脑”（BLAB）整合了一些旨在传播有关该地区及其重要性的信息的服务，作为环境意识的工具。BLAB提供的主要服务是一个对话工具，用于处理有关蓝色亚马逊的复杂问题，称为BLAB-Chat;其中心组件是一个控制器，用于管理几个面向任务的自然语言处理模块（例如，问答和摘要系统）。这些模块可以访问内部数据湖以及第三方数据库。新闻记者（BLAB-Reporter）和自行开发的wiki（BLAB-Wiki）也是BLAB服务架构的一部分。在本文中，我们描述了我们当前版本的BLAB架构（接口，后端，Web服务，NLP模块和资源），并评论了我们迄今为止所面临的挑战，如缺乏训练数据和领域信息的分散状态。解决这些问题对技术领域的人工智能的发展提出了相当大的挑战。
英文摘要：
We describe the first steps in the development of an artificial agent focused on the Brazilian maritime territory, a large region within the South Atlantic also known as the Blue Amazon. The "BLue Amazon Brain" (BLAB) integrates a number of services aimed at disseminating information about this region and its importance, functioning as a tool for environmental awareness. The main service provided by BLAB is a conversational facility that deals with complex questions about the Blue Amazon, called BLAB-Chat; its central component is a controller that manages several task-oriented natural language processing modules (e.g., question answering and summarizer systems). These modules have access to an internal data lake as well as to third-party databases. A news reporter (BLAB-Reporter) and a purposely-developed wiki (BLAB-Wiki) are also part of the BLAB service architecture. In this paper, we describe our current version of BLAB's architecture (interface, backend, web services, NLP modules, and resources) and comment on the challenges we have faced so far, such as the lack of training data and the scattered state of domain information. Solving these issues presents a considerable challenge in the development of artificial intelligence for technical domains.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
