60
R. P. França et al.
project to share information from all over the world eventually created unimaginable
proportions. This is certainly very good because of the breadth and quantity of sources
with diverse content, but it ended up causing real chaos of information. Because
anyone publishes their own information, the volume is so absurd that it pollutes the
results and makes browsing increasingly confusing and scattered [1].
Semantic Web is not a new information network, but a project to apply intelligent
concepts to the current Internet. In it each information comes with a well-defined
meaning and is no longer loose in the sea of content, allowing a better interaction
with the user. New search engines, innovative interfaces, creation of thesaurus, and
intelligent content organization are some examples of enhancements. This way, it
will no longer be necessary to have to mine the internet for in search of the desired
information, it will behave as a whole, no longer as a pile of information piled up
[2].
It enriches research and exploitation of results on the web, semantic web technologies continue to rise as a progressive integration of search engines and social
networks, the development of search engines tailored to the specific needs of companies, and even the growing adoption for e-commerce sites, since it’s about optimizing
the target of relevant information [1–3].
The Semantic Web introduces several standards RDF, which model for describing
all data, and even considering RDF Schema, which creates of vocabularies and
descriptive term sets. Even evaluating OWL as a language for creating ontologies
supporting logical processing (inference, clustering). Still pondering SPARQL that
allows obtaining information from RDF graphs [4].
OWL (Web Ontology Language), explicitly relates relationships as constraints
and hierarchy between concepts in a (semi) formal way. Allowing both people and
machines to understand the concepts that represent the data available, brings up
structured knowledge allowing the use of agents for search and inference. OWL is
one of the most robust forms of representation currently occurs through the use of
ontologies [5].
The interaction between man and computer has become increasingly common,
through the development of methodologies that improve both telecommunication
systems [6–8], operational system [9] and human health [10–14]. In this context,
semantic search describes the possibility for computers and humans to work in
cooperation, linking meanings of words, and giving meaning to content published
on the Internet. In short, the news made search results more accurate for users, with
search engines going beyond the keyword and considering not only the search terms,
but synonyms, context, and more complex factors such as user location and search
previous performed [1, 15].
Offering less spammy search results, more knowledge of user intent, and more
conversation enables users to have a better experience. That way, today when trying
to produce good content, the user becomes authoritative in your market and are much
more likely to be referenced by search engines [16, 17].
R. P. França et al.
project to share information from all over the world eventually created unimaginable
proportions. This is certainly very good because of the breadth and quantity of sources
with diverse content, but it ended up causing real chaos of information. Because
anyone publishes their own information, the volume is so absurd that it pollutes the
results and makes browsing increasingly confusing and scattered [1].
Semantic Web is not a new information network, but a project to apply intelligent
concepts to the current Internet. In it each information comes with a well-defined
meaning and is no longer loose in the sea of content, allowing a better interaction
with the user. New search engines, innovative interfaces, creation of thesaurus, and
intelligent content organization are some examples of enhancements. This way, it
will no longer be necessary to have to mine the internet for in search of the desired
information, it will behave as a whole, no longer as a pile of information piled up
[2].
It enriches research and exploitation of results on the web, semantic web technologies continue to rise as a progressive integration of search engines and social
networks, the development of search engines tailored to the specific needs of companies, and even the growing adoption for e-commerce sites, since it’s about optimizing
the target of relevant information [1–3].
The Semantic Web introduces several standards RDF, which model for describing
all data, and even considering RDF Schema, which creates of vocabularies and
descriptive term sets. Even evaluating OWL as a language for creating ontologies
supporting logical processing (inference, clustering). Still pondering SPARQL that
allows obtaining information from RDF graphs [4].
OWL (Web Ontology Language), explicitly relates relationships as constraints
and hierarchy between concepts in a (semi) formal way. Allowing both people and
machines to understand the concepts that represent the data available, brings up
structured knowledge allowing the use of agents for search and inference. OWL is
one of the most robust forms of representation currently occurs through the use of
ontologies [5].
The interaction between man and computer has become increasingly common,
through the development of methodologies that improve both telecommunication
systems [6–8], operational system [9] and human health [10–14]. In this context,
semantic search describes the possibility for computers and humans to work in
cooperation, linking meanings of words, and giving meaning to content published
on the Internet. In short, the news made search results more accurate for users, with
search engines going beyond the keyword and considering not only the search terms,
but synonyms, context, and more complex factors such as user location and search
previous performed [1, 15].
Offering less spammy search results, more knowledge of user intent, and more
conversation enables users to have a better experience. That way, today when trying
to produce good content, the user becomes authoritative in your market and are much
more likely to be referenced by search engines [16, 17].