Databases Reference
In-Depth Information
imprecise matching by observing that an operation is expected to have input and output messages
that match those of the virtual Web service. Therefore, matching Web service input and output
parameters may carry with it a degree of uncertainty.
6.4
COMMUNITIES OF KNOWLEDGE
Communities of knowledge are groups of people who share information and knowledge as a means
of self improvement and socializing. For example, the Rwandan Youth Information Community
Organisation (rYico)
1
is a charitable organization that works to support and empower vulnerable
young people in Rwanda by providing information centers that are of relevance to Rwandan youth
and young adults.
A main challenge in this application is the auto-acquiring of the semantics of semi-structured
and fully-structured pieces of information by educated non-experts to allow social media to improve
the targeting of information. To do so, semantic schema matching should come into play (see Section
3.2.2
). As mentioned before, semantic attribute correspondences can be modeled using the similarity
matrix model and can be of practical value in matcher ensembles.
The information that streams into a community of knowledge should be automatically ex-
tracted, decomposed, unified, merged, and joined with information from other information sources.
Towards this end, tools and algorithms for modeling uncertainty with semantic matchings and for
schema matching of deep-Web documents should be developed. In such a setting, top-
K
queries à
la Google would allow an educated community to reach decisions regarding the assignment of infor-
mation to a community of knowledge and to generate rich semantic connections among information
pieces.
1
http://www.ryico.org/
