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R. P. França et al.
of the lower layers, together with the need to validate it from a reliability point of
view. Therefore, the reliability of the information must be verifiable under a logical
validity based on requirements that prove unchanged be of correct source, and cannot
be denied by its issuer. The Digital Signature is inserted in the structure with the
function of incorporating security mechanisms that guarantee the reliability of the
information, together to obtain a reliable web where the exchanged information is
reliable through certification [18, 32].
However, despite the benefits and advantages of the Semantic Web, some obstacles
are still present for its full adoption related to the little existing semantic content
which makes its evolution difficult. Still considering that no ontological language
is accepted as the ideal for the Semantic Web, besides not being fully standardized
with each other. This also hinders their integration, where there must be efforts of
adoption and standardization in order to reap the rewards that the meaning next to
search automation will bring about the Semantic Web [58–60].
Where in an increasingly expanding virtual world flooded with data that can be
converted into useful information, knowledge is a living, organic being. Which has
the potential to branch into newspapers, books, libraries, research centers, companies, government institutions, social networks, among others. Forming a universe of
specificities and peculiarities intrinsic to each of these segments requiring a broad
portfolio of vocabularies to standardize these inter-relations of your data with men
and machines [1].
6 Discussion
The Web is flooded with data in which this volume only grows by the day, but it is
also a fact that this data does not have a clear and established meaning. This makes it
impossible to use in an integrated manner without conflict, to determine this meaning
and convert this data into Information usable by any agent (human or computer) is
the ultimate goal of the Semantic Web. In a way, the Semantic Web is a vision of what
the web will be like in the future, where computer agents can finally understand the
meaning of data in the same way that people understand and act upon it, performing
repetitive tasks and helping users of the most diverse ways.
The semantic search comes from the idea of the semantic web, making search
results more accurate for users, because for those who perform a search, the expectation is a simple answer, and thus the semantic search is much more accurate.
Considering there are also advantages for search engines, which offer less spammy
search results, more knowledge of user intent and more conversation, gives users a
better experience.
Impacting also in the production of content focused on semantic search, since
quality content must be produced, where search engines need to know what your
material is about in order to recommend it to people. Assessing that good content
produced makes authority in the digital market and is much more likely to be
referenced.
R. P. França et al.
of the lower layers, together with the need to validate it from a reliability point of
view. Therefore, the reliability of the information must be verifiable under a logical
validity based on requirements that prove unchanged be of correct source, and cannot
be denied by its issuer. The Digital Signature is inserted in the structure with the
function of incorporating security mechanisms that guarantee the reliability of the
information, together to obtain a reliable web where the exchanged information is
reliable through certification [18, 32].
However, despite the benefits and advantages of the Semantic Web, some obstacles
are still present for its full adoption related to the little existing semantic content
which makes its evolution difficult. Still considering that no ontological language
is accepted as the ideal for the Semantic Web, besides not being fully standardized
with each other. This also hinders their integration, where there must be efforts of
adoption and standardization in order to reap the rewards that the meaning next to
search automation will bring about the Semantic Web [58–60].
Where in an increasingly expanding virtual world flooded with data that can be
converted into useful information, knowledge is a living, organic being. Which has
the potential to branch into newspapers, books, libraries, research centers, companies, government institutions, social networks, among others. Forming a universe of
specificities and peculiarities intrinsic to each of these segments requiring a broad
portfolio of vocabularies to standardize these inter-relations of your data with men
and machines [1].
6 Discussion
The Web is flooded with data in which this volume only grows by the day, but it is
also a fact that this data does not have a clear and established meaning. This makes it
impossible to use in an integrated manner without conflict, to determine this meaning
and convert this data into Information usable by any agent (human or computer) is
the ultimate goal of the Semantic Web. In a way, the Semantic Web is a vision of what
the web will be like in the future, where computer agents can finally understand the
meaning of data in the same way that people understand and act upon it, performing
repetitive tasks and helping users of the most diverse ways.
The semantic search comes from the idea of the semantic web, making search
results more accurate for users, because for those who perform a search, the expectation is a simple answer, and thus the semantic search is much more accurate.
Considering there are also advantages for search engines, which offer less spammy
search results, more knowledge of user intent and more conversation, gives users a
better experience.
Impacting also in the production of content focused on semantic search, since
quality content must be produced, where search engines need to know what your
material is about in order to recommend it to people. Assessing that good content
produced makes authority in the digital market and is much more likely to be
referenced.