Problems like solving crosswords
from clues have been defined as AI-complete (Littman 2000) and are extremely
challenging for machines since there is no closed-world assumption and
they require human-level knowledge. Interestingly, for the first time
since AI's kick-off, there is a first nucleus of technology, such as search
engines, information retrieval and machine learning techniques, that enable
computers to enfold with semantics real-life concepts. Our goal is that
of designing a software system, called WebCrow, whose major assumption
is to attack crosswords making use of the Web as its primary source of
knowledge, being this an extremely rich and self-updating repository of
human knowledge.
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