76
R. P. França et al.
8 Conclusions
The growth of the internet was huge and in less than two decades and what was a
project to share information from around the world created unimaginable proportions.
It is very useful because of the breadth and quantity of sources with diverse content,
but eventually caused real chaos of information. Because anyone publishes their own
information, and the volume is absurdly large that it pollutes the results and makes
browsing increasingly confusing and scattered.
The term semantic refers to the meaning or essence of something, when applied to
the search, the concept is related to the study of words and their logic. So, semantic
search aims to improve the accuracy of results by understanding the intention of
the search user. As long as there is a semantic search system using data such as
localization, word variation, synonyms, among other characteristics.
Currently, there are still problems related to the non-understanding of search by
current search systems. That is, when a web search is performed, the system returns
the information not based on an understanding, but based on keywords that may or
may not be related to what was searched.
From this principle emerges the Semantic Web, based on the Web that can bring
to users more accurate information, where both people and computers are able to
understand this data and, in this paradigm, the Web comes to be seen as a large
database. And so, the Semantic web through its technologies is a way for computers to
understand what the user wants, and from this view, the problem is now considered the
need to create technologies capable of making computers understand more precisely
the meaning of words and terms.
This type of scenario is very positive since it deals with existing technologies that
only need to be standardized, and there is no need to simply redo everything that
already exists and bring new technologies. Some adjustments are needed, evolving
the web languages already in use for a fully implemented semantic point of view.
References
1. Workman, M.: Introduction to This Book. In Semantic Web, pp. 1–5. Springer, Cham
2. Androˇ cec, D., Novak, M., Oreški, D.: Using semantic web for internet of things interoperability:
a systematic review. Int. J. Semant. Web Inf. Syst. (IJSWIS) 14(4), 147–171 (2018)
3. Bernstein, A., Hendler, J., Noy, N.: A new look at the semantic web. Commun. ACM 59(9),
35–37 (2016)
4. Machado, L.M.O., Souza, R.R., Graça Simões, M.: Semantic web or web of data? A diachronic
study (1999 to 2017) of the publications of tim berners-lee and the world wide web consortium.
J. Assoc. Inf. Sci. Technol. 70(7), 701–714 (2019)
5. Nagvenkar, A., Pawar, J.D., Bhattacharyya, P.: Indowordnet conversion to web ontology
language (OWL). In: Mititelu, V.B., Forascu, C., Fellbaum, C. Vossen, P. Bucharest (eds.)
Proc. 8. Global WordNet Conference, Romania, 27-30 Jan 2016. 2016; 255–258. http://irgu.
unigoa.ac.in/drs/handle/unigoa/4419 (2016)
R. P. França et al.
8 Conclusions
The growth of the internet was huge and in less than two decades and what was a
project to share information from around the world created unimaginable proportions.
It is very useful because of the breadth and quantity of sources with diverse content,
but eventually caused real chaos of information. Because anyone publishes their own
information, and the volume is absurdly large that it pollutes the results and makes
browsing increasingly confusing and scattered.
The term semantic refers to the meaning or essence of something, when applied to
the search, the concept is related to the study of words and their logic. So, semantic
search aims to improve the accuracy of results by understanding the intention of
the search user. As long as there is a semantic search system using data such as
localization, word variation, synonyms, among other characteristics.
Currently, there are still problems related to the non-understanding of search by
current search systems. That is, when a web search is performed, the system returns
the information not based on an understanding, but based on keywords that may or
may not be related to what was searched.
From this principle emerges the Semantic Web, based on the Web that can bring
to users more accurate information, where both people and computers are able to
understand this data and, in this paradigm, the Web comes to be seen as a large
database. And so, the Semantic web through its technologies is a way for computers to
understand what the user wants, and from this view, the problem is now considered the
need to create technologies capable of making computers understand more precisely
the meaning of words and terms.
This type of scenario is very positive since it deals with existing technologies that
only need to be standardized, and there is no need to simply redo everything that
already exists and bring new technologies. Some adjustments are needed, evolving
the web languages already in use for a fully implemented semantic point of view.
References
1. Workman, M.: Introduction to This Book. In Semantic Web, pp. 1–5. Springer, Cham
2. Androˇ cec, D., Novak, M., Oreški, D.: Using semantic web for internet of things interoperability:
a systematic review. Int. J. Semant. Web Inf. Syst. (IJSWIS) 14(4), 147–171 (2018)
3. Bernstein, A., Hendler, J., Noy, N.: A new look at the semantic web. Commun. ACM 59(9),
35–37 (2016)
4. Machado, L.M.O., Souza, R.R., Graça Simões, M.: Semantic web or web of data? A diachronic
study (1999 to 2017) of the publications of tim berners-lee and the world wide web consortium.
J. Assoc. Inf. Sci. Technol. 70(7), 701–714 (2019)
5. Nagvenkar, A., Pawar, J.D., Bhattacharyya, P.: Indowordnet conversion to web ontology
language (OWL). In: Mititelu, V.B., Forascu, C., Fellbaum, C. Vossen, P. Bucharest (eds.)
Proc. 8. Global WordNet Conference, Romania, 27-30 Jan 2016. 2016; 255–258. http://irgu.
unigoa.ac.in/drs/handle/unigoa/4419 (2016)