@Unpublished{guha04a,
  author =	 {R. Guha and R. McCool and R. Fikes},
  title =	 {Contexts for the Semantic Web},
  note =	 {TAP group. Stanford University},
  year =	 2004,
  abstract =	 {A central theme of the semantic web is that programs
                  should be able to easily aggregate data from
                  different sources. Unfortunately, even if two sites
                  provide their data using the same data model and
                  vocabulary, subtle differences in their use of terms
                  and in the assumptions they make pose challenges for
                  aggregation. Experiences with the TAP project reveal
                  some of the phenomena that pose obstacles to a
                  simplistic model of aggregation. Similar experiences
                  have been reported by AI projects such as Cyc, which
                  has lead to the development and use of various
                  context mechanisms. In this paper we report on some
                  of the problems with aggregating independently
                  published data and propose a context mechanism to
                  handle some of these problems. We briefly survey the
                  context mechanisms developed in in AI and contrast
                  them with the requirements of a context mechanism
                  for the semantic web. Finally, we present a context
                  mechanism for the semantic web that is adequate to
                  handle the aggregation tasks, yet simple from both
                  computational and model theoretic perspectives.},
  keywords =     {sweb ai},
  url =		 {http://jmvidal.cse.sc.edu/library/guha04a.pdf},
  googleid = 	 {dZnLIIZFLzEJ:scholar.google.com/},
  cluster = 	 {3544127874142017909}
}