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Certain data repositories provide search functionality for temporally ordered data. News archive search or blog search are examples of search interfaces that allow issuing structured queries composed of arbitrary terms and selected time constraints for performing temporal search. However, extracting aggregated knowledge such as detecting the evolution of objects or their relationships through these interfaces is difficult for users. In this paper, we discuss the problem of knowledge extraction and agglomeration from repositories of temporal data. In particular, we propose a method for detecting and visualizing changes in coordinate terms over time based on a news archive.