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Annals of Computer Science and Information Systems, Volume 11

Proceedings of the 2017 Federated Conference on Computer Science and Information Systems

Research on Proposals and Trends in the Architectures of Semantic Search Engines: A Systematic Literature Review

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DOI: http://dx.doi.org/10.15439/2017F88

Citation: Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 11, pages 271280 ()

Full text

Abstract. Semantic web technologies have gained some spotlight in recent years, mostly explained by the spread of mobile devices and broadband Internet access. As once envisioned by Tim Berners-Lee, semantic web technologies have fostered the development of standards that enable, in turn, the emergence of semantic search engines that give users the information they are looking for. This paper presents the results of a systematic literature review that focuses on understanding the proposals on the semantic search engines from an architectural point of view. From the results it is possible to say that most of the studies propose an integral solution for their users where their requirements, the context and the modules that comprise the search engine have a great role to play. Ontologies and knowledge also play an important role in these architectures as they evolve, enabling a great myriad of solutions that respond in a better way to the users' expectations.

References

  1. T. Berners-Lee, J. Hendler, O. Lassila et al., “The semantic web,” Scientific American, vol. 284, no. 5, pp. 28–37, 2001. http://dx.doi.org/10.1038/scientificamerican0501-34. [Online]. Available: http://dx.doi.org/10.1038/scientificamerican0501-34
  2. B. Kitchenham, “Procedures for performing systematic reviews,” Keele, UK, Keele University, vol. 33, no. 2004, pp. 1–26, 2004.
  3. M. Petticrew and H. Roberts, Systematic reviews in the social sciences: A practical guide. John Wiley & Sons, 2008. [Online]. Available: http://dx.doi.org/10.1002/9780470754887
  4. M. Zarour, A. Abran, J.-M. Desharnais, and A. Alarifi, “An investigation into the best practices for the successful design and implementation of lightweight software process assessment methods: A systematic literature review,” Journal of Systems and Software, vol. 101, pp. 180 – 192, 2015. http://dx.doi.org/10.1016/j.jss.2014.11.041. [Online]. Available: http://dx.doi.org/10.1016/j.jss.2014.11.041
  5. T. Luu, F. Klemm, I. Podnar, M. Rajman, and K. Aberer, “Alvis peers: A scalable full-text peer-to-peer retrieval engine,” in Proceedings of the International Workshop on Information Retrieval in Peer-to-peer Networks, ser. P2PIR ’06. New York, NY, USA: ACM, 2006. doi: 10.1145/1183579.1183588. ISBN 1-59593-527-4 pp. 41–48. [Online]. Available: http://doi.acm.org/10.1145/1183579.1183588
  6. A. Hogan, A. Harth, J. Umbrich, S. Kinsella, A. Polleres, and S. Decker, “Searching and browsing linked data with swse: The semantic web search engine,” Journal of Web Semantics, vol. 9, no. 4, pp. 365–401, 2011. http://dx.doi.org/10.1016/j.websem.2011.06.004. [Online]. Available: http://dx.doi.org/10.1016/j.websem.2011.06.004
  7. K. Schutte, F. Bomhof, G. Burghouts, J. Van Diggelen, P. Hiemstra, J. Van ’T Hof, W. Kraaij, H. Pasman, A. Smith, C. Versloot, and J. De Wit, “Goose: Semantic search on internet connected sensors,” Proceedings of SPIE - The International Society for Optical Engineering, vol. 8758, 2013. http://dx.doi.org/10.1117/12.2018112. [Online]. Available: http://dx.doi.org/10.1117/12.2018112
  8. D. Çelik, A. ElçI, and E. Elverici, “Finding suitable course material through a semantic search agent for learning management systems of distance education,” Proceedings - International Computer Software and Applications Conference, pp. 386–391, 2011. http://dx.doi.org/10.1109/COMPSACW.2011.71. [Online]. Available: http://dx.doi.org/ 10.1109/COMPSACW.2011.71
  9. M. Ponnada and N. Sharda, “Model of a semantic web search engine for multimedia content retrieval,” Proceedings - 6th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2007; 1st IEEE/ACIS International Workshop on e-Activity, IWEA 2007, pp. 818–823, 2007. http://dx.doi.org/10.1109/ICIS.2007.135. [Online]. Available: http://dx.doi.org/10.1109/ICIS.2007.135
  10. F. K. Amanqui, K. J. Serique, S. D. Cardoso, J. L. D. Santos, A. Albuquerque, and D. A. Moreira, “Improving biodiversity data retrieval through semantic search and ontologies,” in Web Intelligence (WI) and Intelligent Agent Technologies (IAT), 2014 IEEE/WIC/ACM International Joint Conferences on, vol. 1, Aug 2014. http://dx.doi.org/10.1109/WI-IAT.2014.44 pp. 274–281. [Online]. Available: http://dx.doi.org/10.1109/WI-IAT.2014.44
  11. T. Dao, T. Hoang, X. Ta, and M. Ho Ba Tho, “Knowledge-based personalized search engine for the web-based human musculoskeletal system resources (hmsr) in biomechanics,” Journal of Biomedical Informatics, vol. 46, no. 1, pp. 160–173, 2013. http://dx.doi.org/10.1016/j.jbi.2012.11.001. [Online]. Available: http://dx.doi.org/10.1016/j.jbi.2012.11.001
  12. T. Bürger and G. Güntner, “Smart content factory - semantic knowledge based indexing of audiovisual archives,” IET Seminar Digest, vol. 2005, no. 11099, pp. 367–371, 2005. http://dx.doi.org/10.1049/ic.2005.0757. [Online]. Available: http://dx.doi.org/10.1049/ic.2005.0757
  13. F. A. Durão, T. A. Vanderlei, E. S. Almeida, and S. R. de L. Meira, “Applying a semantic layer in a source code search tool,” in Proceedings of the 2008 ACM Symposium on Applied Computing, ser. SAC ’08. New York, NY, USA: ACM, 2008. doi: 10.1145/1363686.1363952. ISBN 978-1-59593-753-7 pp. 1151–1157. [Online]. Available: http://doi.acm.org/10.1145/1363686.1363952
  14. E. Borini, R. Damiano, V. Lombardo, and A. Pizzo, “Dramasearch. character-mediated search in cultural heritage,” Proceedings - 2009 2nd Conference on Human System Interactions, HSI ’09, pp. 554–561, 2009. http://dx.doi.org/10.1109/HSI.2009.5091038. [Online]. Available: http://dx.doi.org/10.1109/HSI.2009.5091038
  15. A. M. Khattak, J. Mustafa, N. Ahmed, K. Latif, and S. Khan, “Intelligent search in digital documents,” in Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01, ser. WI-IAT ’08. Washington, DC, USA: IEEE Computer Society, 2008. http://dx.doi.org/10.1109/WIIAT.2008.208. ISBN 978-0-7695-3496-1 pp. 558–561. [Online]. Available: http://dx.doi.org/10.1109/WIIAT.2008.208
  16. A. M. Khattak, N. Ahmad, J. Mustafa, Z. Pervez, K. Latif, and S. Y. Lee, “Context-aware search in dynamic repositories of digital documents,” in 2013 IEEE 16th International Conference on Computational Science and Engineering, Dec 2013. http://dx.doi.org/10.1109/CSE.2013.59 pp. 338–345. [Online]. Available: http://dx.doi.org/10.1109/CSE.2013.59
  17. D. Çelik, E. Elverici, A. Elçi, and N. Inan, “Educational activity finder for children with pervasive developmental disorder through a semantic search system,” in 2012 IEEE 36th Annual Computer Software and Applications Conference, July 2012. http://dx.doi.org/10.1109/COMPSAC.2012.84.ISSN 0730-3157 pp. 482–487. [Online]. Available: http://dx.doi.org/10.1109/COMPSAC.2012.84
  18. N. Guelfi, C. Pruski, and C. Reynaud, “Experimental assessment of the target adaptive ontology-based web search framework,” in 2010 10th Annual International Conference on New Technologies of Distributed Systems (NOTERE), May 2010. http://dx.doi.org/10.1109/NOTERE.2010.5536622. ISSN 2162-1896 pp. 297–302. [Online]. Available: http://dx.doi.org/10. 1109/NOTERE.2010.5536622
  19. S. Movva, R. Ramachandran, S. Graves, and H. Conover, “Customizable search engine with semantic and resource aggregation capability,” in 2008 10th IEEE Conference on E-Commerce Technology and the Fifth IEEE Conference on Enterprise Computing, E-Commerce and E-Services, July 2008. http://dx.doi.org/10.1109/CECandEEE.2008.115. ISSN 2378-1963 pp. 376–381. [Online]. Available: http://dx.doi.org/10.1109/CECandEEE.2008.115
  20. A. Vasilateanu, N. Goga, and A. Moldoveanu, “Semantic report search engine - questor,” in System Theory, Control and Computing (ICSTCC), 2014 18th International Conference, Oct 2014. http://dx.doi.org/10.1109/ICSTCC.2014.6982404 pp. 134–139. [Online]. Available: http://dx.doi.org/10.1109/ICSTCC.2014.6982404
  21. M. E. Kholy and A. Elfatatry, “Intelligent broker a knowledge based approach for semantic web services discovery,” in Evaluation of Novel Approaches to Software Engineering (ENASE), 2015 International Conference on, April 2015. http://dx.doi.org/10.5220/0005455300390044 pp. 39–44. [Online]. Available: http://dx.doi.org/10.5220/0005455300390044
  22. M. Thangaraj and G. Sujatha, “An architectural design for effective information retrieval in semantic web,” Expert Systems with Applications, vol. 41, no. 18, pp. 8225–8233, 2014. http://dx.doi.org/10.1016/j.eswa.2014.07.017. [Online]. Available: http://dx.doi.org/10.1016/j.eswa.2014.07.017
  23. S. Paiva, M. Cabrer, and A. Solla, “Precision: A semantic search guided-based system,” Systems Theory: Perspectives, Applications and Developments, pp. 209–228, 2014.
  24. G. Besbes, H. Baazaoui-Zghal, and H. Ghezela, “Fuzzy ontology-based system for personalized information retrieval,” KDIR 2014 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, pp. 286–293, 2014.
  25. U. Bügel, M. Schmieder, B. Schnebel, T. Schlachter, and R. Ebel, “Leveraging ontologies for environmental information systems,” IFIP Advances in Information and Communication Technology, vol. 359 AICT, pp. 364–371, 2011. http://dx.doi.org/10.1007/978-3-642-22285-6_40. [Online]. Available: http://dx.doi.org/10.1007/978-3-642-22285-6_40
  26. D. Ślęzak, A. Janusz, W. Świeboda, H. Nguyen, J. Bazan, and A. Skowron, “Semantic analytics of pubmed content,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7058 LNCS, pp. 63–74, 2011. http://dx.doi.org/10.1007/978-3-642-25364-5_7. [Online]. Available: http://dx.doi.org/10.1007/978-3-642-25364-5_7
  27. D. Mouromtsev, P. Haase, E. Cherny, D. Pavlov, A. Andreev, and A. Spiridonova, “Towards the russian linked culture cloud: Data enrichment and publishing,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9088, pp. 637–651, 2015. http://dx.doi.org/10.1007/978-3-319-18818-8_39. [Online]. Available: http: //dx.doi.org/10.1007/978-3-319-18818-8_39
  28. R. Mendonça, A. F. Rosa, J. L. Oliveira, and A. Teixeira, “Ontology-based health information search: Application to the neurological disease domain,” in 2013 8th Iberian Conference on Information Systems and Technologies (CISTI), June 2013. ISSN 2166-0727 pp. 1–6.
  29. H. Dong, F. K. Hussain, and E. Chang, “A service search engine for the industrial digital ecosystems,” IEEE Transactions on Industrial Electronics, vol. 58, no. 6, pp. 2183–2196, June 2011. http://dx.doi.org/10.1109/TIE.2009.2031186. [Online]. Available: http://dx.doi.org/10.1109/TIE.2009.2031186
  30. A. N. Jamgade and S. J. Karale, “Ontology based information retrieval system for academic library,” in Innovations in Information, Embedded and Communication Systems (ICIIECS), 2015 International Conference on, March 2015. http://dx.doi.org/10.1109/ICIIECS.2015.7193106 pp. 1–6. [Online]. Available: http://dx.doi.org/10.1109/ICIIECS.2015.7193106
  31. L. Kerschberg, H. Jeong, Y. Song, and W. Kim, “A case-based framework for collaborative semantic search in knowledge sifter,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4626 LNAI, pp. 16–30, 2007. http://dx.doi.org/10.1007/978-3-540-74141-1_2. [Online]. Available: http://dx.doi.org/10.1007/978-3-540-74141-1_2
  32. M. Jurczyk-Bunkowska and I. Pawełoszek, “The concept of semantic system for supporting planning of innovation processes [koncepcja semantycznego system wspomagania planowania procesów innowacji],” Polish Journal of Management Studies, vol. 11, no. 1, pp. 79–89, 2015.
  33. F. Corradini, F. De Angelis, F. Paoloni, A. Polzonetti, and B. Re, “A case study of a semantic search engine for g2g collaboration based on intelligent documents,” Proceedings of 4th International Conference on e-Government, ICEG 2008, pp. 499–506, 2008.
  34. B. Boehm, “Software risk management,” in European Software Engineering Conference. Springer, 1989. http://dx.doi.org/10.1007/3-540-51635-2_29 pp. 1–19. [Online]. Available: http://dx.doi.org/10.1007/3-540-51635-2_29
  35. M. Uschold, “Where are the semantics in the semantic web?” AI Mag., vol. 24, no. 3, pp. 25–36, Sep. 2003.
  36. M. Fernandez, V. Lopez, M. Sabou, V. Uren, D. Vallet, E. Motta, and P. Castells, “Semantic search meets the web,” in Proceedings of the 2008 IEEE International Conference on Semantic Computing, ser. ICSC ’08. Washington, DC, USA: IEEE Computer Society, 2008. http://dx.doi.org/10.1109/ICSC.2008.52. ISBN 978-0-7695-3279-0 pp. 253–260. [Online]. Available: http://dx.doi.org/10.1109/ICSC.2008.52
  37. W. Wang, S. De, G. Cassar, and K. Moessner, “Knowledge representation in the internet of things: Semantic modelling and its applications,” Automatika – Journal for Control, Measurement, Electronics, Computing and Communications, vol. 54, no. 4, pp. 388 – 400, October 2013. http://dx.doi.org/10.7305/automatika.54-4.414. [Online]. Available: http://dx.doi.org/10.7305/automatika.54-4.414
  38. A. Gómez-Pérez, M. Fernández-López, and O. Corcho, Ontological Engineering: with examples from the areas of Knowledge Management, e-Commerce and the Semantic Web. Springer Science & Business Media, 2006. [Online]. Available: http://dx.doi.org/10.1007/b97353
  39. T. R. Gruber, “A translation approach to portable ontology specifications,” Knowledge acquisition, vol. 5, no. 2, pp. 199–220, 1993. http://dx.doi.org/10.1006/knac.1993.1008. [Online]. Available: http://dx.doi.org/10.1006/knac.1993.1008
  40. G. Abowd, L. Bass, P. Clements, R. Kazman, and L. Northrop, “Recommended best industrial practice for software architecture evaluation.” DTIC Document, Tech. Rep., 1997.