SBIR Phase I: Embedding Trend Discovery Within Search Engines

这个小企业创新研究（SBIR）第一阶段的研究项目旨在通过使用一种语言学方法，利用多年的商业研究和技术开发，使文本文档的趋势发现成为搜索引擎用户熟悉的工作流程中的主流活动。本研究的目的是开发正确的表示和算法，实现一个原型，实验与适当的用户界面，以支持初始发现和最终用户的评估发现的趋势，并评估系统的能力，使有见地的趋势，是不提供与正常使用的搜索引擎。企业高管、市场分析师、科技监督员和政府情报分析员都关心如何发现趋势。已经有了一些商业商业智能方法来发现和理解结构化数据的趋势。然而，来自文本数据中的趋势检测的研究成果尚未进入主流使用，因为复杂的用户体验和无法辨别什么是真正新兴的主题，而不仅仅是重复出现的突出主题或旧主题的语言变化，例如，“诉讼”是一个老话题，“诉讼”是一个新话题。如果成功地嵌入到熟悉的搜索工作流程中，预计趋势发现将成为许多知识工作专业的布恩，从而早期发现可能影响科学，技术，政府，医疗保健和业务绩效的变化。

This Small Business Innovation Research (SBIR) Phase I research project aims to make trend discovery on text documents a mainstream activity within the familiar workflow of search engine users, by using a linguistic approach that leverages many years of prior commercial research and technology development. The objective of this research is to develop the right representations and algorithms, implement a prototype, experiment with the appropriate user interfaces to support both initial discovery and the end-user's assessment of the discovered trends, and evaluate the system's ability to enable insightful trends that are not available with normal use of search engines. Executives, market analysts, science and technology monitors, and government intelligence analysts all are concerned with finding trends. There are established commercial business-intelligence methods for finding and understanding trends in structured data. However, research accomplishments from trend detection in text data have not entered mainstream use because of complicated user experiences and an inability to discern what are truly emerging topics, rather than merely recurring salient topics or linguistic variations on old topics, e.g., "lawsuit" as an old topic and "litigation" as a new topic. If successfully embedded within the familiar search workflow, it is anticipated that trend discovery will be a boon to many knowledge-work professions, leading to early detection of changes that can impact science, technology, government, healthcare, and business performance.