Skip to main content
SpringerLink
Log in

A Survey on Context-Aware InformationRetrieval Research

  • Conference paper
  • First Online:
Computational Science and Technology (ICCST 2017)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 488))

Included in the following conference series:

  • 1023 Accesses

Abstract

Most of the retrieved documents from the Information Retrieval (IR) System are irrelevant to the user because the IR cannot determine the user’s context. One of the main issues is that the relevancy of the retrieved documents is based on personal assessment that depends on the task to be done and its context. This paper provides the review of prior researches (2003–2016) and concludes the review by providing the summary of the research’s current trends, future direction and opportunity and defining the research gap. First, the findings show that in prior studies, there is no identification of contextual aspect has been done in optimizing the ranking function of the Malay IR. Second, in optimizing the ranking function, the integration process of context representation and document ranking must be done. This approach also has not been done yet in the development of Malay Document Retrieval. If it still stays in the current status, the Malay Document Retrieval system cannot be improved compared to the traditional languages of Context Aware IR System (English).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Ata, B.M.A., Sembok, T.M.T., Yusof, M.: SISDOM: multilingual document retrieval system. Asian Librar. Bradford 4(3), 37–46 (1995). http://ezaccess.library.uitm.edu.my/login?url=http://search.proquest.com/

    Google Scholar 

  2. Xiang, B., Jiang, D., Pei, J., Sun, X., Chen, E., Li, H.: Context-aware ranking in web search. In: SIGIR 2010, Geneva (2009)

    Google Scholar 

  3. Aleman-Meza, B., Halaschek, C., Arpinar, I.B., Sheth, A.: Context-aware semantic association ranking. Technical report 03-010, University of Georgia (2003)

    Google Scholar 

  4. Nazief, B.: Development of computational linguistics research: a challenge for Indonesia. In: Proceedings of the 38th Annual Meeting on Association for Computational Linguistics, ACL 2000, pp. 1–2 (2000)

    Google Scholar 

  5. Keßler, C.: Context-aware semantic-based information retrieval. Inaugural-Dissertation for Doctor of Phylosophy. Wilhelms-Universität Münster (2010)

    Google Scholar 

  6. Akinribido, C.T., Afolabi, B.S., Akhigbe, B.I., Udo, I.J.: A fuzzy ontology based information retrieval system for relevant feedback. Int. J. Comput. Sci. 8(1), 382–389 (2011)

    Google Scholar 

  7. Odijk, D.: Context & semantics in news & web search. SIKS Dissertation Series. No. 2016-20. Dutch Research School for Information and Knowledge Systems, Eindhoven (2016)

    Google Scholar 

  8. Hong, D., Park, Y.-K., Lee, J., Shin, V., Wo, W.: Personalized information retrieval framework. In: Proceedings of the First International Workshop on Personalized Context Modeling and Management for UbiComp Applications (2005)

    Google Scholar 

  9. Ahmad, F., Yusof, M., Sembok, T.M.T.: Experiment with a stemming algorithm for Malay words. J. Am. Soc. Inf. Sci. 47(12), 909–918 (1996)

    Article  Google Scholar 

  10. Zamani, H., Bendersky, M., Wang, X., Zhang, M.: Situational context for ranking in personal search. In: International World Wide Web Conference Committee (IW3C2), pp. 1531–1540. International World Wide Web Conferences Steering Committee, Republic and Canton of Geneva (2017)

    Google Scholar 

  11. Parvin, H., Dahbashi, A., Minaei, B.: Improving Persian text classification and clustering using Persian thesaurus. In: Distributed Computing and Artificial Intelligence. Advances in Intelligent and Soft Computing, vol. 151, pp. 493–500. Springer, Heidelberg (2012)

    Google Scholar 

  12. Hanum, H.M., Bakar, Z.A., Rahman, N.A., Rosli, M.M., Musa, N.: Using topic analysis for querying halal information on Malay documents. Procedia Soc. Behav. Sci. 121, 214–222 (2014)

    Article  Google Scholar 

  13. Bai, J., Nie, J.-Y., Bouchard, H., Cao, G.: Using query contexts in information retrieval. In: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2007, pp. 15–22. ACM, New York (2007)

    Google Scholar 

  14. Agbele, K.K., Ayetiran, E.F., Aruleba, K.D., Ekong, D.O.: Algorithm for information retrieval optimization. In: IEEE 7th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON). IEEE, Vancouver (2016)

    Google Scholar 

  15. Agbele, K.K.: Context-awareness for adaptive information retrieval systems. A thesis submitted in fulfillment of the requirements for the degree of Doctor of Philosophy in Computer Science. Faculty of Science Department of Computer Science, University of the Western Cape, Cape Town (2014)

    Google Scholar 

  16. Ogura, K., Bond, F., Ooyama, Y.: A prototype Japanese-to-Malay translation system. In: Machine Translation Summit VII. Asia-Pacific Association for Machine Translation, Tokyo (1999)

    Google Scholar 

  17. Derczynski, L.R.A., Yang, B., Jensen, C.S.: Towards context-aware search and analysis on social media data. In: Proceedings of the 16th International Conference on Extending Database Technology, EDBT 2013 (2013)

    Google Scholar 

  18. Leong, L.C., Basri, S., Alfred, R.: Enhancing Malay stemming algorithm with background knowledge. In: Proceedings of the 12th Pacific Rim International Conference on Trends in Artificial Intelligence, pp. 137–142. ACM, New York (2012)

    Google Scholar 

  19. Chang, L., Yu, J.X., Qin, L.: Context-sensitive document ranking. In: Proceedings of the 18th ACM Conference on Information and Knowledge Management, CIKM 2009, pp. 1533–1536. ACM, New York (2009)

    Google Scholar 

  20. Suryana, L., Bressan, S.: Automatic learning of stemming rules for the Indonesian language. In: Proceedings of the 17th Pacific Asia Conference on Language, Information and Computation, pp. 62–68. Colips Publications, Singapore (2003)

    Google Scholar 

  21. Tze, L.L., Hussein, N.: Fast prototyping of a Malay WordNet system. In: Proceedings of the Language, Artificial Intelligence and Computer Science for Natural Language Processing (LAICS-NLP) Summer School Workshop, pp. 13–16 (2006)

    Google Scholar 

  22. Sankupelayya, M., Valliappan, S.: Malay-language stemmer. Sunway Acad. J. 3, 147–153 (2006)

    Google Scholar 

  23. Puteh, M., Isa, N., Puteh, S., Redzuan, N.A.: Sentiment mining of Malay newspaper (SAMNews) using artificial immune system. In: Proceedings of the World Congress on Engineering, vol. 3, pp. 1498–1503. Newswood Limited, International Association of Engineers, IAENG, Hong Kong (2013)

    Google Scholar 

  24. Yunus, M.A.M., Zainuddin, R., Abdullah, N.: Semantic method for query translation. Int. Arab J. Inf. Technol. 10(3), 253–259 (2013)

    Google Scholar 

  25. Abdullah, M.T., Ahmad, F., Mahmod, R., Sembok, T.M.T.: Rules frequency order stemmer for Malay language. Int. J. Comput. Sci. Netw. Secur. (IJCSNS) 9(2), 433–438 (2009)

    Google Scholar 

  26. Abdullah, M.T.: Monolingual and cross-language information retrieval approaches for Malay and English language documents. Thesis Submitted to the School of Graduate Studies, Universiti Putra Malaysia, in Fulfilment of the Requirement for the Degree of Doctor of Philosophy. Universiti Putra Malaysia, Serdang (2006)

    Google Scholar 

  27. Loukachevitch, N.V., Dobrov, B.V.: Construction of thematic representations of texts based on domain-specific thesaurus. AAAI Technical report SS-02-09 (2002)

    Google Scholar 

  28. Ahmad, N.D., Bennett, B., Atwell, E.: Semantic-based ontology for Malay Qur’an reader. In: 4th International Conference on Islamic Applications in Computer Science and Technologies (2016)

    Google Scholar 

  29. Ab Samat, N., Murad, M.A.A., Abdullah, M.T., Atan, R.: Term weighting schemes experiment based on SVD for Malay text retrieval. Int. J. Comput. Sci. Netw. Secur. (IJCSNS) 8(10), 357–361 (2008)

    Google Scholar 

  30. Ab Samat, N., Murad, M.A.A., Abdullah, M.T., Atan, R.: Malay documents clustering algorithm based on singular value decomposition. J. Theor. Appl. Inf. Technol. 8(2), 180–186 (2005)

    Google Scholar 

  31. Ab Samat, N., Murad, M.A.A., Atan, R., Abdullah, M.T.: Categorization of Malay documents using latent semantic indexing. In: Proceedings of Knowledge Management International Conference, pp. 87–91. ACM, New York (2008)

    Google Scholar 

  32. Ismail, N.K., Rahman, N.A., Bakar, Z.A., Sembok, T.M.T.: Terms visualization for Malay translated Quran documents. In: Proceedings of the International Conference on Electrical Engineering and Informatics Institut Teknologi Bandung, Indonesia, pp. 17–19. IEEE Xplore (2007)

    Google Scholar 

  33. Rahman, N.A., Mabni, Z., Omar, N., Hanum, H.F.M., Rahim, N.N.A.T.M.: A parallel latent semantic indexing (LSI) algorithm for Malay Hadith translated document retrieval. J. Commun. Comput. Inf. Sci. 545, 154–163 (2015)

    Google Scholar 

  34. Sharef, N.M., Madzin, H.: Semantic-based medical records retrieval via medical-context away query expansion and ranking. J. Theor. Appl. Inf. Technol. 58(3), 697–706 (2013)

    Google Scholar 

  35. Rais, N.H., Abdullah, M.T., Kadir, R.A.: Query translation architecture for Malay-English cross-language information retrieval system. In: International Symposium in Information Technology (ITSim). IEEE Xplore (2010)

    Google Scholar 

  36. Mylonas, P., Vallet, D., Castells, P., Fernandez, M., Avrithis, Y.: Personalized information retrieval based on context and ontological knowledge. Knowl. Eng. Rev. 23(1), 73–100 (2007)

    Google Scholar 

  37. Alfred, R., Leong, L.C., On, C.K., Anthony, P.: Malay named entity recognition based on rule-based approach. Int. J. Mach. Learn. Comput. (IJMLC) 4(3), 300–306 (2014)

    Article  Google Scholar 

  38. Baeza-Yates, R., Ribeiro-Neto, B.: Modern Information Retrieval the Concepts and Technology Behind Search, 2nd edn. Pearson Education Limited, Harlow (2011)

    Google Scholar 

  39. Noah, S.A., Ismail, F.: Automatic classifications of Malay proverbs using Naïve Bayesian algorithm. Inf. Technol. J. 7, 1016–1022 (2008)

    Article  Google Scholar 

  40. Noah, S.A., Amruddin, A.Y., Omar, N.: Semantic similarity measures for Malay sentences. In: Goh, D.H.-L., Cao, T.H., Sølvberg, I.T., Rasmussen, E. (eds.) ICADL 2007. LNCS, vol. 4822, pp. 117–126. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  41. Doraisamy, S., Golzari, S., Norowi, N.M., Sulaiman, M.N.B., Udzir, N.I.: A study on feature selection and classification techniques for automatic genre classification of traditional Malay music. In: 9th International Conference on Music Information Retrieval, ISMIR 2008, pp. 331–336. Drexel University, Philadelphia (2008)

    Google Scholar 

  42. Fadzli, S.A., Norsalehen, A.K., Syarilla, I.A., Hasni, H., Dhalila, M.S.S.: Simple rules Malay stemmer. In: The International Conference on Informatics and Applications (ICIA 2012), pp. 28–35. The Society of Digital Information and Wireless Communication (SDIWC) (2012)

    Google Scholar 

  43. Sembok, T.M.T.: Word stemming algorithms and retrieval effectiveness in Malay and Arabic documents retrieval systems. Int. J. Comput. Electr. Autom. Control Inf. Eng. 1(10), 3197–3199 (2007)

    Google Scholar 

  44. Bakar, Z.A., Sembok, T.M.T., Yusoff, M.: An evaluation of retrieval effectiveness using spelling correction and string-similarity matching methods on Malay texts. J. Am. Soc. Inf. Sci. Technol. 51, 691–706 (2000)

    Article  Google Scholar 

Download references

Acknowledgement

All authors are grateful for Universiti Teknologi MARA, Shah Alam, Selangor for financial support.

Author information

Authors and Affiliations

  1. Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Selangor Darul Ehsan, Malaysia

    Shaiful Bakhtiar bin Rodzman, Normaly Kamal Ismail & Nurazzah Abd Rahman

Authors
  1. Shaiful Bakhtiar bin Rodzman
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Normaly Kamal Ismail
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Nurazzah Abd Rahman
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Shaiful Bakhtiar bin Rodzman .

Editor information

Editors and Affiliations

  1. Knowledge Technology Research Unit, Faculty of Computing and Informatics, Universiti Malaysia Sabah, Kota Kinabalu, Malaysia

    Rayner Alfred

  2. School of Information Science, Japan Advanced Institute of Science and Technology, Nomi, Ishikawa, Japan

    Hiroyuki Iida

  3. Faculty of Computing and Informatics, Universiti Malaysia Sabah, Kota Kinabalu, Malaysia

    Ag. Asri Ag. Ibrahim

  4. School of Information Science, Security and Networks Area, Japan Advanced Institute of Science and Technology, Nomi, Ishikawa, Japan

    Yuto Lim

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

bin Rodzman, S.B., Ismail, N.K., Rahman, N.A. (2018). A Survey on Context-Aware InformationRetrieval Research. In: Alfred, R., Iida, H., Ag. Ibrahim, A., Lim, Y. (eds) Computational Science and Technology. ICCST 2017. Lecture Notes in Electrical Engineering, vol 488. Springer, Singapore. https://doi.org/10.1007/978-981-10-8276-4_38

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-8276-4_38

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-8275-7

  • Online ISBN: 978-981-10-8276-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation