We present the design of Dynabot, a guided Deep Web discovery system. Dynabot's modular architecture supports focused crawling of the Deep Web with an emphasis on matching, p...
Daniel Rocco, James Caverlee, Ling Liu, Terence Cr...
While we expect to discover knowledge in the texts available on the Web, such discovery usually requires many complex analysis steps, most of which require different text handling...
Comprehensive coverage of the public web is crucial to web search engines. Search engines use crawlers to retrieve pages and then discover new ones by extracting the pages' o...
This paper presents Adaptive Web Search (AWS), a novel search technique that combines personalized, social, and realtime collaborative search. Preliminary empirical results from a...
This paper continues the movement from technology centered to human centered approaches in the study of tasks that involve finding, understanding, and using information, and tools...