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A Look at Semantic Web Technology and the Potential Semantic Web Search in the Modern Era

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Semantic IoT: Theory and Applications

Part of the book series: Studies in Computational Intelligence ((SCI,volume 941))

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Abstract

The Semantic Web supports a set of technologies that exploit the standardization of the semantic representation of informational resources available on the web, representing the evolution of the current web. It provides a mechanism for formatting data in a machine-readable manner. Helping people in certain activities are done manually and end up consuming a lot of time in human daily life, linking individual properties of these data with globally accessible schemes. Since with so much information evolution in digital searches is inevitable, which with this technology provides ease and provides inferences about sates in scalable activities and modes. Therefore, this chapter aims to provide an overview of the semantic web and technology behind the semantic web search Engines, showing and approaching its success relation, with a concise bibliographic background, categorizing and synthesizing the potential of both technologies.

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References

  1. Workman, M.: Introduction to This Book. In Semantic Web, pp. 1–5. Springer, Cham

    Google Scholar 

  2. Andročec, 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)

    Article  Google Scholar 

  3. Bernstein, A., Hendler, J., Noy, N.: A new look at the semantic web. Commun. ACM 59(9), 35–37 (2016)

    Article  Google Scholar 

  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)

    Google Scholar 

  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)

  6. França, R.P, Iano, Y., Monteiro, A.C.B., Arthur, R., Estrela, V.V. Betterment Proposal to Multipath Fading Channels Potential to MIMO Systems. In: Brazilian technology symposium, pp. 115–130. Springer, Cham (2018, October)

    Google Scholar 

  7. França, R.P., Iano, Y., Monteiro, A.C.B., Arthur, R.: Improvement for channels with multipath fading (MF) through the methodology CBEDE. In: Fundamental and Supportive Technologies for 5G Mobile Networks, pp. 25–43. IGI Global (2020)

    Google Scholar 

  8. França, R.P., Iano, Y., Monteiro, A.C.B., Arthur, R.: A proposal of improvement for transmission channels in cloud environments using the CBEDE methodology. In: Modern Principles, Practices, and Algorithms for Cloud Security, pp. 184–202. IGI Global (2020)

    Google Scholar 

  9. França, R.P., Iano, Y., Monteiro, A.C.B., Arthur, R.: Improvement of the transmission of information for ICT techniques through CBEDE methodology. In: Utilizing Educational Data Mining Techniques for Improved Learning: Emerging Research and Opportunities, pp. 13–34. IGI Global (2020)

    Google Scholar 

  10. França, R.P., Peluso, M., Monteiro, A.C.B., Iano, Y., Arthur, R., Estrela, V.V.: Development of a kernel: a deeper look at the architecture of an operating system. In: Brazilian technology symposium, pp. 103–114. Springer, Cham (2018, October)

    Google Scholar 

  11. Monteiro, A.C.B., Iano, Y., França, R.P., Arthur, R., Estrela, V.V.: A comparative study between methodologies based on the hough transform and watershed transform on the blood cell count. In: Brazilian technology symposium, pp. 65–78. Springer, Cham (2018, October)

    Google Scholar 

  12. Monteiro, A.C.B., Iano, Y., França, R.P., Arthur, R.: Methodology of high accuracy, sensitivity and specificity in the counts of erythrocytes and Leukocytes in blood smear images. In: Brazilian technology symposium, pp. 79–90. Springer, Cham (2018, October)

    Google Scholar 

  13. Monteiro, A.C.B., Iano, Y., França, R.P.: Detecting and counting of blood cells using watershed transform: an improved methodology. In: Brazilian technology symposium, pp. 301–310. Springer, Cham (2017, December)

    Google Scholar 

  14. Monteiro, A.C.B., Iano, Y., França, R.P.: An improved and fast methodology for automatic detecting and counting of red and white blood cells using watershed transform. VIII Simpósio de Instrumentação e Imagens Médicas (SIIM)/VII Simpósio de Processamento de Sinais da UNICAMP (2017)

    Google Scholar 

  15. McIlraith, S.A., Son, T.C., Zeng, H.: Semantic web services. IEEE Intell. Syst. 16(2), 46–53 (2001)

    Article  Google Scholar 

  16. Vandenbussche, P.Y., Atemezing, G.A., Poveda-Villalón, M., Vatant, B.: Linked Open Vocabularies (LOV): a gateway to reusable semantic vocabularies on the Web. Seman. Web 8(3), 437–452 (2017)

    Article  Google Scholar 

  17. Klusch, M., Kapahnke, P., Schulte, S., Lecue, F., Bernstein, A.: Semantic web service search: a brief survey. KI-Künstliche Intelligenz 30(2), 139–147 (2016)

    Article  Google Scholar 

  18. ud@@@ Din, I., Khusro, S., Ullah, I., Rauf, A.: Semantic history: ontology-based modeling of users’ web browsing behaviors for improved web page revisitation. In: Proceedings of the Computational Methods in Systems and Software, pp. 204–215. Springer, Cham (2018, September)

    Google Scholar 

  19. Krause, S., Hennig, L., Moro, A., Weissenborn, D., Xu, F., Uszkoreit, H., Navigli, R.: Sar-graphs: a language resource connecting linguistic knowledge with semantic relations from knowledge graphs. J. Web Seman. 37, 112–131 (2016)

    Article  Google Scholar 

  20. Klimek, B.: Proposing an OntoLex-MMoOn alignment: towards an interconnection of two linguistic domain models. In: LDK workshops, pp. 68–73 (2017)

    Google Scholar 

  21. Hitzler, P., Krotzsch, M., Rudolph, S.: Foundations of Semantic Web Technologies. Chapman and Hall/CRC (2009)

    Google Scholar 

  22. Poirier, L.: Making the Web Meaningful: A History of Web Semantics. The SAGE Handbook of Web History, pp. 256–269. SAGE, London (2018)

    Google Scholar 

  23. Berners-Lee, T., Fielding, R., Masinter, L.: Uniform Resource Identifiers (URI): Generic Syntax (1998)

    Google Scholar 

  24. Seltzer, W.: World Wide Web Consortium (W3C) standards for the open web platform. In: Open Source, Open Standards, Open Minds Conference Proceedings, Washington DC (2016, April)

    Google Scholar 

  25. Abou-Zahra, S., Brewer, J., Cooper, M.: Web standards to enable an accessible and inclusive internet of things (IoT). In: Proceedings of the 14th Web for All Conference on the Future of Accessible Work. 2017. W4A '17: Proceedings of the 14th Web for All Conference on The Future of Accessible Work April 2017, Article No. 9, pp. 1–4. https://doi.org/10.1145/3058555.3058568

  26. Peng, P., Zou, L.: Survey on federated RDF systems. Front. Data Comput. 1(1), 73–81 (2019)

    Google Scholar 

  27. Ristoski, P., Paulheim, H.: Semantic Web in data mining and knowledge discovery: a comprehensive survey. Web Seman. Sci. Serv. Agents World Wide Web 36, 1–22 (2016)

    Article  Google Scholar 

  28. Pereira, F.A., Krzyzanowski, R.F., de Morais Imperatriz, I.M.: Técnicas de Search Engine Optimization (SEO) aplicadas no site da Biblioteca Virtual da FAPESP. Cadernos BAD 1, 251–265 (2019)

    Google Scholar 

  29. Bala, M., D. Verma.: A critical review of digital marketing. Int. J. Manag. IT Eng. 8(10), 321–339 (2018)

    Google Scholar 

  30. Kasemsap, K.: Software as a service, semantic web, and big data: theories and applications. In: The Resource Management and Efficiency in Cloud Computing Environments, pp. 264–285. IGI Global (2017)

    Google Scholar 

  31. Zhong, N., Liu, J., Yao, Y.: Web intelligence. Springer Science & Business Media (2003). https://books.google.com.br/books?hl=ptBR&lr=&id=9ovNrElSkKEC&oi=fnd&pg=PA1&dq=Web+Intelligence.+Springer+Science+%26+Business+Media&ots=0eQcmbjUyJ&sig=mC91HVXN_i7xzrsgWK0ed02azw#v=onepage&q=WebIntelligence.SpringerScience%26BusinessMedia&f=false

  32. Calbimonte, J.P., Jeung, H., Corcho, O., Aberer, K.: Enabling query technologies for the semantic sensor web. Int. J. Seman. Web Inf. Syst. (IJSWIS) 8(1), 43–63 (2012)

    Article  Google Scholar 

  33. Souza, E.G., Bezerra, D.A., Costa, W.F.C.: Description of resources in a metadata structure inspired in the FRBR model: Brapci 2.0. Em Questão 22(1), 113z136 (2016, Jan/Apr); 24(2), 136–113 (2018)

    Google Scholar 

  34. Palmirani, M., Rossi, A., Martoni, M., Margaret, H.: A methodological framework to design a machine-readable privacy icon set. In: Data Protection/LegalTech Proceedings of the 21st International Legal Informatics Symposium IRIS 2018 (2018)

    Google Scholar 

  35. Pauwels, P., Zhang, S., Lee, Y.C.: Semantic web technologies in AEC industry: a literature overview. Autom. Constr. 73, 145–165 (2017)

    Article  Google Scholar 

  36. Baader, F., et al. (eds.): The Description Logic Handbook: Theory, Implementation and Applications. Cambridge University Press, Cambridge (2003)

    Google Scholar 

  37. Singhal, A., Pandey, D., Nagpal, R., Mehrotra, D.: Measuring informativeness of a web document. In: 2016 6th International Conference-Cloud System and Big Data Engineering (Confluence), pp. 654–657. IEEE (2016, January)

    Google Scholar 

  38. Krause, J.: HTML: hypertext markup language. In: Introducing Web Development, pp. 39–63. Apress, Berkeley, CA (2016)

    Google Scholar 

  39. Cover, R., Duncan N., Barnard, D.T.: The progress of SGML (Standard Generalized Markup Language): extracts from a comprehensive bibliography. Literary Linguist. Comput. 6(3), 197–209 (1991)

    Google Scholar 

  40. Frohme, M., Steffen, B.: Active mining of document type definitions. In: The international workshop on formal methods for industrial critical systems, pp. 147–161. Springer, Cham (2018, September)

    Google Scholar 

  41. Gao, C.F., Qian, Y., Zhou, D.P.: U.S. Patent No. 10,318,616. U.S. Patent and Trademark Office, Washington, DC (2019)

    Google Scholar 

  42. O’farrell, W.G., Consens, M.: U.S. Patent No. 10,394,685. U.S. Patent and Trademark Office, Washington, DC (2019)

    Google Scholar 

  43. Wang, M., Wang, J., Guo, K.: Extensible markup language keywords search based on security access control. Int. J. Grid Util. Comput. 9(1), 43–50 (2018)

    Article  Google Scholar 

  44. Creamer, T.E., Hrischuk, C.E. U.S. Patent No. 9,817,914. U.S. Patent and Trademark Office, Washington, DC (2017)

    Google Scholar 

  45. Lefrançois, M., Zimmermann, A., Bakerally, N.: A SPARQL extension for generating RDF from heterogeneous formats. In: The European Semantic Web Conference, pp. 35–50. Springer, Cham (2017, May)

    Google Scholar 

  46. Adjallah-Kondo, G.C.., Ma, Z.: A survey on JSON mapping with XML/RDF. In: Emerging Technologies and Applications in Data Processing and Management, pp. 92–113. IGI Global (2019)

    Google Scholar 

  47. Zaveri, A., Rula, A., Maurino, A., Pietrobon, R., Lehmann, J., Auer, S.: Quality assessment for linked data: a survey. Seman. Web 7(1), 63–93 (2016)

    Article  Google Scholar 

  48. Tammisto, Y., Lindman, J.: Definition of open data services in software business. In International Conference of Software Business, pp. 297–303. Springer, Berlin, Heidelberg (2012, June)

    Google Scholar 

  49. Gottschalk, K., Graham, S., Kreger, H., Snell, J.: Introduction to web services architecture. IBM Syst. J. 41(2), 170–177 (2002)

    Article  Google Scholar 

  50. Guarino, N., Oberle, D., Staab, S.: What is an ontology?. In Handbook on Ontologies, pp. 1–17. Springer, Berlin, Heidelberg (2009)

    Google Scholar 

  51. Steffen, S., Studer, R. (eds.) Handbook on Ontologies. Springer Science & Business Media (2010)

    Google Scholar 

  52. Gruber, T. (2018). Ontology. In: Liu, L., Özsu, M.T. (eds.) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_1318

  53. Silva, A.M.D.D.: Folksonomies in archives: controlled collaboration for specific documents. Ariadne 77 (2017)

    Google Scholar 

  54. Rebstadt, J., Brinkschulte, L., Enders, A., Mertens, R.: A visual language for OWL lite editing. In: SEMANTiCS. Posters, Demos, SuCCESS (2016, September)

    Google Scholar 

  55. Pauwels, P., Terkaj, W.: EXPRESS to OWL for construction industry: towards a recommendable and usable ifcOWL ontology. Autom. Constr. 63, 100–133 (2016)

    Article  Google Scholar 

  56. Mandal, S., Roy, S.K.: Linked open data: FOAF-enabled graph visualization. Chin. Librarianship 45 (2018)

    Google Scholar 

  57. Chiba, H., Uchiyama, I.: SPANG: a SPARQL client supporting generation and reuse of queries for distributed RDF databases. BMC Bioinf. 18(1), 93 (2017)

    Article  Google Scholar 

  58. Patel, P., Ali, M. I., Sheth, A.: From raw data to smart manufacturing: AI and semantic web of things for industry 4.0. IEEE Intell. Syst. 33(4), 79–86 (2018)

    Google Scholar 

  59. Erl, T.: Service-Oriented Architecture: Analysis and Design for Services and Microservices. Prentice-Hall Press (2016)

    Google Scholar 

  60. Sabou, M., Aroyo, L., Bontcheva, K., Bozzon, A., Qarout, R.K.: Semantic web and human computation: the status of an emerging field. Seman. Web 9(3), 291–302 (2018)

    Article  Google Scholar 

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Authors and Affiliations

  1. School of Electrical and Computer Engineering (FEEC), University of Campinas – UNICAMP, Av. Albert Einstein – 400, Barão Geraldo, Campinas, São Paulo, Brazil

    Reinaldo Padilha França, Ana Carolina Borges Monteiro & Yuzo Iano

  2. Faculty of Technology (FT), University of Campinas (UNICAMP), Limeira, São Paulo, Brazil

    Rangel Arthur

Authors
  1. Reinaldo Padilha França
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  2. Ana Carolina Borges Monteiro
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  3. Rangel Arthur
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  4. Yuzo Iano
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Corresponding author

Correspondence to Reinaldo Padilha França .

Editor information

Editors and Affiliations

  1. Amity Institute of Information Technology, Amity University Uttar Pradesh Lucknow Campus, Lucknow, Uttar Pradesh, India

    Rajiv Pandey

  2. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Marcin Paprzycki

  3. Amity Institute of Information Technology, Amity University Uttar Pradesh Lucknow Campus, Lucknow, Uttar Pradesh, India

    Nidhi Srivastava

  4. Database System Laboratory, University of Aizu, Aizu-Wakamatsu, Fukushima, Japan

    Subhash Bhalla

  5. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Katarzyna Wasielewska-Michniewska

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França, R.P., Monteiro, A.C.B., Arthur, R., Iano, Y. (2021). A Look at Semantic Web Technology and the Potential Semantic Web Search in the Modern Era. In: Pandey, R., Paprzycki, M., Srivastava, N., Bhalla, S., Wasielewska-Michniewska, K. (eds) Semantic IoT: Theory and Applications. Studies in Computational Intelligence, vol 941. Springer, Cham. https://doi.org/10.1007/978-3-030-64619-6_3

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