This paper offers new principles for visual information seeking (VIS). A key concept is to support browsing, which is distinguished from familiar query composition and information retrieval because of its emphasis on rapid filtering to reduce result sets, progressive refinement of search parameters

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We describe a highly functional prototype system for searching by visual features in an image database. The VisualSEEk system is novel in that the user forms the queries by diagramming spatial arrangements of color regions. The system finds the images that contain the most similar arrangements

A common observation in the informal literature of economics (and elsewhere) is that in multistage “games, ” players may seek early in the game to acquire a reputation for being “tough ” or “benevolent ” or something else. But this phenomenon is not observed in some formal game-theoretic analyses

A useful starting point for designing advanced graphical user interjaces is the Visual lnformation-Seeking Mantra: overview first, zoom and filter, then details on demand. But this is only a starting point in trying to understand the rich and varied set of information visualizations that have been

This note considers the problem of information consensus among multiple agents in the presence of limited and unreliable information exchange with dynamically changing interaction topologies. Both discrete and continuous update schemes are proposed for information consensus. The note shows

, actively use information technologies to seek out and understand the opinions of others. The sudden eruption of activity in the area of opinion mining and sentiment analysis, which deals with the computational treatment of opinion, sentiment, and subjectivity in text, has thus occurred at least in part

The continuously increasing number of publications within the biomedical domain has fuelled the creation of literature based discovery (LBD) systems which identify unconnected pieces of knowledge appear-ing in separate literatures which can be combined to make new discoveries. With-out filtering, the amount of hidden knowl-edge found is vast due to noise, making it impractical for a researcher to examine, or clinically evaluate, the potential discover-ies. We present a number of filtering tech-niques, including two which exploit the LBD system itself rather than being based on a statistical or manual examination of document collections, and we demonstrate usefulness via replication of known dis-coveries. 1 Introduction and

research are shown to result from requesting information that was never directly heeded, thus forcing subjects to infer rather than remember their mental processes. After a long period of time during which stimulus-response relations were at the focus of attention, research in psychology is now seeking

our observations of the microblogging phenomena by studying the topological and geographical properties of Twitter’s social network. We find that people use microblogging to talk about their daily activities and to seek or share information. Finally, we analyze the user intentions associated at a