The Web has become the world s largest database, with search
being the main tool that allows organizations and individuals to
exploit its huge amount of information. Search on the Web has been
traditionally based on textual and structural similarities,
ignoring to a large degree the semantic dimension, i.e.,
understanding the meaning of the query and of the document content.
Combining search and semantics gives birth to the idea of semantic
search. Traditional search engines have already advertised some
semantic dimensions. Some of them, for instance, can enhance their
generated result sets with documents that are semantically related
to the query terms even though they may not include these terms.
Nevertheless, the exploitation of the semantic search has not yet
reached its full potential.
In this book, Roberto De Virgilio, Francesco Guerra and Yannis
Velegrakis present an extensive overview of the work done in
Semantic Search and other related areas. They explore different
technologies and solutions in depth, making their collection a
valuable and stimulating reading for both academic and industrial
researchers.
The book is divided into three parts. The first introduces the
readers to the basic notions of the Web of Data. It describes the
different kinds of data that exist, their topology, and their
storing and indexing techniques. The second part is dedicated to
Web Search. It presents different types of search, like the
exploratory or the path-oriented, alongside methods for their
efficient and effective implementation. Other related topics
included in this part are the use of uncertainty in query
answering, the exploitation of ontologies, and the use of semantics
in mashup design and operation. The focus of the third part is on
linked data, and more specifically, on applying ideas originating
in recommender systems on linked data management, and on techniques
for the efficiently querying answering on linked data."
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