Kröll Mark, Prettenhofer P., Strohmaier M.
2009
Equipping intelligent agents with commonsense knowledge acquired from search query logs: Results from an exploratory study
"Data Mining and Multi-agent Integration" Springer Publishing
Access to knowledge about user goals represents a critical component for
realizing the vision of intelligent agents acting upon user intent on the web. Yet, the
manual acquisition of knowledge about user goals is costly and often infeasible. In
a departure from existing approaches, this paper proposes Goal Mining as a novel
perspective for knowledge acquisition. The research presented in this chapter makes
the following contributions: (a) it presents Goal Mining as an emerging field of
research and a corresponding automatic method for the acquisition of user goals
from web corpora, in the case of this paper search query logs (b) it provides insights
into the nature and some characteristics of these goals and (c) it shows that the goals
acquired from query logs exhibit traits of a long tail distribution, thereby providing
access to a broad range of user goals. Our results suggest that search query logs
represent a viable, yet largely untapped resource for acquiring knowledge about
explicit user goals