Abstract

Time is an important dimension of any information space and can be very useful in information retrieval tasks such as document exploration, similarity search, and clustering. As search applications keep gathering new and diverse information sources, presenting relevant information anchored in time becomes more important for exploration purposes. Temporal information is available in every document either explicitly, e.g., in the form of temporal expressions, or implicitly in the form of metadata. Recognizing such information and exploiting it for document retrieval and presentation purposes are important features that can significantly improve the functionality of search applications. In this research, we introduce a temporal document analysis framework for analyzing document collections from a temporal perspective in support of diverse information retrieval and exploration tasks. Our analysis is not based on document

Citations