Information access in context Export

@article{citeulike:799748, abstract = {Our central claim is that user interactions with productivity applications (e.g. word processors, Web browsers, etc.) provide rich contextual information that can be leveraged to support just-in-time access to task-relevant information. As evidence for our claim, we present Watson, a system which gathers contextual information in the form of the text of the document the user is manipulating, in order to proactively retrieve documents from distributed information repositories related to task at hand, as well as process explicit requests in the context of this task. We close by describing the results of several experiments with Watson, which show it consistently provides useful information to its users. The experiments also suggest that, contrary to the assumptions of many system designers, similar documents are not necessarily useful documents in the context of a particular task.}, author = {Budzik, Jay and Hammond, Kristian J. and Birnbaum, Larry}, citeulike-article-id = {799748}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/S0950-7051(00)00105-2}, citeulike-linkout-1 = {http://linkinghub.elsevier.com/retrieve/pii/S0950-7051(00)00105-2}, citeulike-linkout-2 = {http://www.sciencedirect.com/science/article/B6V0P-42JHFRS-5/2/cf77822861e9f2e0d636347347625bdc}, doi = {10.1016/S0950-7051(00)00105-2}, journal = {Knowledge-Based Systems}, keywords = {aggregation, frictionless, information, retrieval, search, watson}, month = {March}, number = {1-2}, pages = {37--53}, posted-at = {2009-04-06 17:07:47}, priority = {2}, title = {Information access in context}, url = {http://dx.doi.org/10.1016/S0950-7051(00)00105-2}, volume = {14}, year = {2001} }

TY - JOUR ID - citeulike:799748 L3 - citeulike-article-id:799748 N2 - Our central claim is that user interactions with productivity applications (e.g. word processors, Web browsers, etc.) provide rich contextual information that can be leveraged to support just-in-time access to task-relevant information. As evidence for our claim, we present Watson, a system which gathers contextual information in the form of the text of the document the user is manipulating, in order to proactively retrieve documents from distributed information repositories related to task at hand, as well as process explicit requests in the context of this task. We close by describing the results of several experiments with Watson, which show it consistently provides useful information to its users. The experiments also suggest that, contrary to the assumptions of many system designers, similar documents are not necessarily useful documents in the context of a particular task. IS - 1-2 JF - Knowledge-Based Systems EP - 53 TI - Information access in context VL - 14 SP - 37 KW - aggregation KW - frictionless KW - information KW - retrieval KW - search KW - watson AU - Budzik, Jay AU - Hammond, Kristian AU - Birnbaum, Larry PY - 2001/03// UR - http://dx.doi.org/10.1016/S0950-7051(00)00105-2 ER -