Innovative tools to enable exploration of complex and specialised data sets

在大数据时代，知识工作者-个人，公司和组织，其主要重点是知识和信息提取和使用-发现越来越难以搜索和识别准确和相关的信息。特别是在科学文献和知识产权搜索领域，基础语料库正在以巨大的速度增长，这是一项艰巨的任务，人类的专业知识和参与仍然至关重要。该项目旨在开发一套技术和方法，使用户能够更有效地搜索和识别语料库中的相关信息。开发的方法将部署基于语义的分析，领域和词汇语言学，以首先了解用户的需求的基础上的应用领域，并通过增强搜索和交叉引用的信息，从而实现更准确的信息检索。此外，该项目旨在通过共享搜索策略来提供高级用户服务，这些策略将通过观察和理解用户搜索行为的模式来识别。

In the age of Big Data, knowledge workers - individuals, companies and organisations whose primary focus is knowledgeand information extraction and usage - find it increasingly difficult to search for and identify accurate and relevantinformation. In particular, in the domain of scientific literature and IP search, where the underlying corpora are growing at ahuge rate, this is a daunting task and human expertise and involvement remain critical. This project aims to develop a suiteof techniques and methods that will enable users to search for and identify relevant information within a corpus moreefficiently and effectively. The methods developed will deploy semantic-based analysis, domain and lexical linguisticontologies in order to first understand the user needs based on the underlying domain of application and subsequentlyenable more accurate information retrieval through enhanced search and cross-reference of information. In addition, theproject aims to offer advanced user services through sharing of search strategies which will be identified by observing andunderstanding patterns in users' search behaviours.