1 research outputs found
SEMANTIC DATA CLOUDING OVER THE WEBS
Very often, for business or personal needs, users require to retrieve, in a very fast way,
all the available relevant information about a focused target entity, in order to take
decisions, organize business work, plan future actions. To answer this kind of \u201centity\u201d-
driven user needs, a huge multiplicity of web resources is actually available, coming
from the Social Web and related user-centered services (e.g., news publishing, social
networks, microblogging systems), from the Semantic Web and related ontologies and
knowledge repositories, and from the conventional Web of Documents. The Ph.D.
thesis is devoted to define the notion of in-cloud and a semantic clouding approach for
the construction of in-clouds that works over the Social Web, the Semantic Web, and
the Web of Documents. in-clouds are built for a target entity of interest to organize all
relevant web resources, modeled as web data items, into a graph, on the basis of their
level of prominence and reciprocal closeness. Prominence captures the importance of
a web resource within the in-cloud, by distinguishing, also in a visual way \u201ca la tagcloud\u201d, how much relevant web resources are with respect to the target entity. The
level of closeness between web resources is evaluated using matching and clustering
techniques, with the goal of determining how similar web resources are to each other
and with respect to the target entity