Suggesting novel but related topics: Towards context-based support for knowledge model extension Export

@misc{citeulike:1284561, abstract = {Much intelligent user interfaces research addresses the problem of providing information relevant to a current user topic. However, little work addresses the complementary question of helping the user identify potential topics to explore next. In knowledge acquisition, this question is crucial to deciding how to extend previouslycaptured knowledge. This paper examines requirements for effective topic suggestion and presents a domain-independent topicgeneration algorithm designed to generate...}, author = {Maguitman, A. and Leake, D. and Reichherzer, T.}, citeulike-article-id = {1284561}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.60.5248}, keywords = {context, knowledge, model}, posted-at = {2007-05-09 06:04:27}, priority = {2}, title = {Suggesting novel but related topics: Towards context-based support for knowledge model extension}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.60.5248}, year = {2005} }

TY - GEN ID - citeulike:1284561 L3 - citeulike-article-id:1284561 N2 - Much intelligent user interfaces research addresses the problem of providing information relevant to a current user topic. However, little work addresses the complementary question of helping the user identify potential topics to explore next. In knowledge acquisition, this question is crucial to deciding how to extend previouslycaptured knowledge. This paper examines requirements for effective topic suggestion and presents a domain-independent topicgeneration algorithm designed to generate... TI - Suggesting novel but related topics: Towards context-based support for knowledge model extension KW - context KW - knowledge KW - model AU - Maguitman, A AU - Leake, D AU - Reichherzer, T PY - 2005/// UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.60.5248 ER -