Innovative tools to enable exploration of complex and specialised data sets

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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.