Systematic mapping study on question answering frameworks over linked data

Ceren Ocal Tasar; Murat Komesli; Murat Osman Unalir

Systematic mapping study on question answering frameworks over linked data

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Author(s): Ceren Ocal Tasar¹ ; Murat Komesli² ; Murat Osman Unalir³
- Affiliations: 1: Department of Software Engineering, Faculty of Engineering , Yasar University , Universite cad. 37, 35100 Izmir , Turkey ;
  2: Department of Management Information Systems , School of Applied Sciences, Yasar University , Universite cad. 37, 35100 Izmir , Turkey ;
  3: Department of Computer Engineering, Faculty of Engineering , Ege University , Universite cad. 3, 35100 Izmir , Turkey
Source: Volume 12, Issue 6, December 2018, p. 461 – 472
DOI: 10.1049/iet-sen.2018.5105 , Print ISSN 1751-8806, Online ISSN 1751-8814

Received 16/10/2017, Accepted 11/06/2018, Revised 10/04/2018, Published 30/07/2018

Employing linked data technologies and semantic endpoints for question answering systems are expanding approaches among the researchers. Therefore, systems that combine syntactic and semantic analysis and enrich input questions by sentence-level recognition are examined. A systematic mapping study is conducted to identify and analyse the studies from major databases, journals and proceedings of conferences or workshops published between 2010 and 2017. With a set of 14 research questions, inclusion and exclusion criteria are specified. 53 studies are selected as primary studies from an initial set of 845 papers. This study provides a mapping while focusing on the methods and identifying the gaps between required and existing approaches. Popular approaches which have gained the most attention among researchers are given as a conclusion. Moreover, a comparison between the authors’ study and related work in the literature is given to point out the differences and the contributions of their study. As the result of the comparison, it is concluded that the study is a novel and original topic on question answering frameworks.

References

1. 1)
  - 18. Nivre, J.: ‘Dependency parsing’. Lang. Linguist Compass, 2010, 4, (3), pp. 138–152.
2. 2)
  - 22. Lopez, V., Unger, C., Cimiano, P., et al: ‘Evaluating question answering over linked data’, Web Semant., 2013, 21, pp. 3–13.
3. 3)
  - 13. Kitchenham, B., Charters, S.: ‘Guidelines for performing systematic literature reviews in software engineering’. Technical Report, Ver. 2.3 EBSE Technical Report, 2007.
4. 4)
  - 28. Gupta, P., Gupta, V.: ‘A survey of text question answering techniques’, Int. J. Comput. Applications’, 2012, 53, (4), pp. 1–8.
5. 5)
  - 8. Guo, Y., Li, Y., Shao, Z.: ‘A semantic processing model for sentence understanding based on cognitive learning’. Proc. 2011 IEEE 3rd Int. Conf. Communication Software and Networks, China, May 2011, pp. 106–110.
6. 6)
  - 3. Lee, T.B., Hendler, J., Lassila, O.: ‘The semantic web’. Sci. Am., 2001, 284, (5), pp. 34–43.
7. 7)
  - 10. Collobert, R., Weston, J., Bottou, L., et al: ‘Natural language processing (almost) from scratch’, J. Mach. Learn. Res., 2011, 12, pp. 2493–2537.
8. 8)
  - 25. Mishra, A., Jain, S.K.: ‘A survey on question answering systems with classification’, J. King Saud Uni., 2016, 28, (3), pp. 345–361.
9. 9)
  - 23. Wieringa, R., Maiden, N., Mead, N., et al: ‘Requirements engineering paper classification and evaluation criteria: a proposal and a discussion’, Requir. Eng., 2006, 11, (1), pp. 102–107.
10. 10)
  - 7. Shehata, S., Karray, F., Kamel, M.: ‘Enhancing search engine quality using concept-based text retrieval’. Proc. IEEE/WIC/ACM Int. Conf. Web Intelligence, USA, November 2007, pp. 26–32.
11. 11)
  - 26. Dwivedi, S.K., Singh, V.: ‘Research and reviews in question answering system’, Procedia Technol., 2013, 10, pp. 417–424.
12. 12)
  - 5. Pugsee, J., Evens, M.W., Rivepiboon, W.: ‘Analysis of Thai sentences with a serial verb using a semantic lexicon’. Proc. 2006 5th IEEE Int. Conf. Cognitive Informatics, China, July 2006, pp. 484–494.
13. 13)
  - 27. Bouziane, A., Bouchiha, D., Doumi, N., et al: ‘Question answering systems: survey and trends’, Procedia Comput. Sci., 2015, 73, pp. 366–375.
14. 14)
  - 11. Bernstein, A., Kaufmann, E., Göhring, A., et al: ‘Querying ontologies: a controlled English interface for end-users’. Proc. 4th Int. Semantic Web Conf., Ireland, November 2005, pp. 112–126.
15. 15)
  - 2. Hoque, M.M., Rahman, M.J., Dhar, P.K.: ‘Lexical semantics: a new approach to analyze the Bangla sentence with semantic features’. Proc. Int. Conf. Information and Communication Technology (ICICT), Bangladesh, March 2007, pp. 87–91.
16. 16)
  - 14. Brereton, B., Kitchenham, D., Budgen, M., et al: ‘Lessons from applying the systematic literature review process within the software engineering domain’, J. Syst. Softw., 2007, 80, (4), pp. 571–583.
17. 17)
  - 29. Allam, A.M.N., Haggag, M.H.: ‘The question answering systems: a survey’, Int. J. Res. Rev. Inf. Sci., 2012, 2, (3), pp. 211–221.
18. 18)
  - 21. Walter, S., Unger, C., Cimiano, P.: ‘ATOLL: a framework for the automatic induction of ontology lexica’, Data Knowl. Eng., 2014, 94, pp. 148–162.
19. 19)
  - 9. Temizer, M., Diri, B.: ‘Automatic subject-object-verb relation extraction’. Proc. 2012 Int. Symp. Innovations in Intelligent Systems and Applications, Turkey, July 2012, pp. 1–4.
20. 20)
  - 1. Hayes, P., Carbonell, J.G.: ‘A tutorial on techniques and applications for natural language processing’. Technical Report, Carnegie-Mellon University, 1983.
21. 21)
  - 6. Indurkhya, N., Damerau, F.J.: ‘Handbook of natural language processing’, (CRC Press, Boca Raton, FL, 2010, 2nd edn.).
22. 22)
  - 20. McCrae, J., Spohr, D., Cimiano, P.: ‘Linking lexical resources and ontologies on the semantic web with lemon’. Proc. 8th Extended Semantic Web Conf., Greece, May 2011, pp. 245–259.
23. 23)
  - 19. Celikkaya, G., Torunoglu, D., Eryigit, G.: ‘Named entity recognition on real data: a preliminary investigation for turkish’. Proc. 2013 7th Int. Conf. Application of Information and Communication Technologies, Azerbaijan, October 2013, pp. 1–5.
24. 24)
  - 30. Kolomiyets, O., Moens, M.F.: ‘A survey on question answering technology from an information retrieval perspective’, Inf. Sci., 2011, 181, (24), pp. 5412–5434.
25. 25)
  - 31. Lopez, V., Uren, V., Sabou, M., et al: ‘Is question answering fit for the semantic web?: A survey’, Semant. Web, 2011, 2, (2), pp. 125–155.
26. 26)
  - 17. Schmid, H.: ‘Probabilistic part-of-speech tagging using decision trees’. Proc. Int. Conf. on New Methods in Language Processing, UK, 1994, pp. 44–49.
27. 27)
  - 15. Petersen, K., Vakkalanka, S., Kuzniarz, L.: ‘Guidelines for conducting systematic mapping studies in software engineering: An update’, Inf. Softw. Technol., 2015, 64, pp. 1–18.
28. 28)
  - 16. Engström, E., Runeson, P.: ‘Software product line testing – a systematic mapping study’, Inf. Softw. Technol., 2011, 53, (1), pp. 2–13.
29. 29)
  - 32. Höffner, K., Walter, S., Marx, E., et al: ‘Survey on challenges of question answering in the semant’, Semantic Web J., 2017, 8, (6), pp. 895–920.
30. 30)
  - 24. Saini, A., Yadav, P.K.: ‘A survey on question –answering system’, Int. J. Eng. Comput. Sci., 2017, 6, (3), pp. 20453–20457.
31. 31)
  - 4. Guo, R., Ren, F.: ‘Towards the relationship between semantic web and NLP’. Proc. 2009 IEEE Int. Conf. Natural Language Processing and Knowledge Engineering, China, September 2009, pp. 1–8.
32. 32)
  - 12. Petersen, K., Feldt, R., Mujtaba, S., et al: ‘Systematic mapping studies in software engineering’. Proc. 12th Int. Conf. Evaluation and Assessment in Software Engineering, Italy, June 2008, pp. 68–77.

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Systematic mapping study on question answering frameworks over linked data

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