Harmonized string-based and unification-based methodology for text mining and processing

信息可获得性和互联网的重要性在许多领域都是显而易见的，从个人层面到普遍的社会影响，例如在经济、卫生保健或科学研究中。虽然通用搜索引擎似乎可以基于简短的即席查询提供经常令人满意的文档和站点检索，但在用户希望完成的实际任务中，收集数据、筛选数据、组织数据和使用数据仍然需要大量耗时的手动工作。在这里，我们建议开发三种不同的核心自然语言处理方法，这将为解决这一信息管理问题做出强有力的贡献。除了理论结果之外，我们还开发了几个实际实现所设计解决方案的工具，并将这些方法和工具应用于特定的应用领域。

The importance of information availability and Internet is clearly evident in many areas, from a personal level to a general society effect, such as in economy, health care, or scientific research. While general search engines seem to provide a frequently satisfactory document and site retrieval, based on short ad-hoc queries, there is still an enormous time-consuming manual effort required to gather data, filter it, organize it, and use it in the actual tasks that a user wants to get accomplished. Here, we propose to develop three different core natural language processing methodologies that will make a strong contribution to solving this information management problem. Beside the theoretical results, we develop several tools that actually implement designed solutions, and we also apply these methodologies and tools to specific application areas.