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Query-Based Versus Resource-Based Cache Strategies in Tag-Based Browsing Systems

  • Joaquín Gayoso-Cabada
  • Mercedes Gómez-Albarrán
  • José-Luis SierraEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11279)

Abstract

Tag-based browsing is a popular interaction model for navigating digital libraries. According to this model, users select descriptive tags to filter resources in the collections. Typical implementations of the model are based on inverted indexes. However, these implementations can require a considerable amount of set operations to update the browsing state. To palliate this inconvenience, it is possible to adopt suitable cache strategies. In this paper we describe and compare two of these strategies: (i) a query-based strategy, according to which previously computed browsing states are indexed by sets of selected tags; and (ii) a resource-based strategy, according to which browsing states are indexed by sets of filtered resources. Our comparison focused on runtime performance, and was carried out empirically, using a real-world web-based collection in the field of digital humanities. The results obtained show that the resource-based strategy clearly outperforms the query-based one.

Keywords

Tag-based browsing Cache strategy Inverted indexes Digital humanities 

Notes

Acknowledgements

This research is supported by the research projects TIN2014-52010-R and TIN2017-88092-R. Also, we would like to thank Mercedes Guinea and Alfredo Fernández-Valmayor (El Caño Foundation, Panamá), for their work on Chasqui.

References

  1. 1.
    Bloehdorn, S., Görlitz, O., Schenk, S., Völkel, M.: TagFS - tag semantics for hierarchical file systems. In: Proceedings of the 6th International Conference on Knowledge Management (I-KNOW 2006) (2006)Google Scholar
  2. 2.
    Buendía, F., Gayoso-Cabada, J., Sierra, J.-L.: Using digital medical collections to support radiology training in e-learning platforms. In: Pammer-Schindler, V., Pérez-Sanagustín, M., Drachsler, H., Elferink, R., Scheffel, M. (eds.) EC-TEL 2018. LNCS, vol. 11082, pp. 566–569. Springer, Cham (2018).  https://doi.org/10.1007/978-3-319-98572-5_46CrossRefGoogle Scholar
  3. 3.
    Carpineto, C., Romano, G.: Concept Data Analysis: Theory and Applications. Wiley, Hoboken (2004)CrossRefGoogle Scholar
  4. 4.
    Chambi, S., Lemire, D., Kaser, O., Godin, R.: Better bitmap performance with Roaring bitmaps. Softw.-Pract. Exp. 46(5), 709–719 (2016)CrossRefGoogle Scholar
  5. 5.
    Culpepper, J.-S.; Moffat, A.: Efficient set intersection for inverted indexing. ACM Trans. Inf. Syst. 29(1), Article no. 1 (2010)CrossRefGoogle Scholar
  6. 6.
    Dimitrov, D., Helic, D., Strohmaier, M.: Tag-based navigation and visualization. In: Brusilovsky, P., He, D. (eds.) Social Information Access. LNCS, vol. 10100, pp. 181–212. Springer, Cham (2018).  https://doi.org/10.1007/978-3-319-90092-6_6CrossRefGoogle Scholar
  7. 7.
    Eck, O., Schaefer, D.: A semantic file system for integrated product data management. Adv. Eng. Inform. 25(2), 177–184 (2011)CrossRefGoogle Scholar
  8. 8.
    Gayoso-Cabada, J., Gómez-Albarrán, M., Sierra, J.-L.: Tag-based browsing of digital collections with inverted indexes and browsing cache. In: Proceedings of the 6th Edition of the Technological Ecosystems for Enhancing Multiculturality Conference (TEEM 2018) (2018)Google Scholar
  9. 9.
    Gayoso-Cabada, J., Rodríguez-Cerezo, D., Sierra, J.-L.: Multilevel browsing of folksonomy-based digital collections. In: Cellary, W., Mokbel, Mohamed F., Wang, J., Wang, H., Zhou, R., Zhang, Y. (eds.) WISE 2016. LNCS, vol. 10042, pp. 43–51. Springer, Cham (2016).  https://doi.org/10.1007/978-3-319-48743-4_4CrossRefGoogle Scholar
  10. 10.
    Gayoso-Cabada, J., Rodríguez-Cerezo, D., Sierra, J.-L.: Browsing digital collections with reconfigurable faceted thesauri. In: 25th International Conference on Information Systems Development (ISD), Katowize, Poland (2016)Google Scholar
  11. 11.
    Gayoso-Cabada, J., Rodríguez-Cerezo, D., Sierra, J.-L.: Browsing digital collections with reconfigurable faceted thesauri. In: Gołuchowski, J., Pańkowska, M., Linger, H., Barry, C., Lang, M., Schneider, C. (eds.) Complexity in Information Systems Development. LNISO, vol. 22, pp. 69–86. Springer, Cham (2017).  https://doi.org/10.1007/978-3-319-52593-8_5CrossRefGoogle Scholar
  12. 12.
    Gifford, D.K., Jouvelot, P., Sheldon, M.A., O’Toole, J.W.: Semantic file systems. SIGOPS Oper. Syst. Rev. 25(5), 16–25 (1991)CrossRefGoogle Scholar
  13. 13.
    Greene, G.-J., Dunaiski, M., Fischer, B.: Browsing publication data using tag clouds over concept lattices constructed by key-phrase extraction. In: Proceedings of Russian and South African Workshop on Knowledge Discovery Techniques Based on Formal Concept Analysis (RuZA 2015) (2015)Google Scholar
  14. 14.
    Helic, D., Trattner, C., Strohmaier, M., Andrews, K.: On the navigability of social tagging systems. In: 2010 IEEE Second International Conference on Social Computing (SocialCom 2010), pp. 161–168 (2010)Google Scholar
  15. 15.
    Hernandez, M.-E., Falconer, S.-M., Storey, M.-A., Carini, S., Sim, I.: Synchronized tag clouds for exploring semi-structured clinical trial data. In: Proceedings of the 2008 Conference of the Center for Advanced Studies on Collaborative Research: Meeting of Minds (CASCON 2008) (2008)Google Scholar
  16. 16.
    Kammerer, Y., Nairn, R., Pirolli, P., Chi, E.H.: Signpost from the masses: learning effects in an exploratory social tag search browser. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI 2009) (2009)Google Scholar
  17. 17.
    Kleinberg, J.: Navigation in a small world. Nature 406(6798), 845 (2000)CrossRefGoogle Scholar
  18. 18.
    Koutrika, G., Zadeh, Z.-M., Garcia-Molina, H.: CourseCloud: summarizing and refining keyword searches over structured data. In: Proceedings of the 12th International Conference on Extending Database Technology (EDBT), pp. 1132–1135 (2009)Google Scholar
  19. 19.
    Leone, S., Geel, M., Müller, C., Norrie, M.C.: Exploiting tag clouds for database browsing and querying. In: Soffer, P., Proper, E. (eds.) CAiSE Forum 2010. LNBIP, vol. 72, pp. 15–28. Springer, Heidelberg (2011).  https://doi.org/10.1007/978-3-642-17722-4_2CrossRefGoogle Scholar
  20. 20.
    Lin, Y.-L., Brusilovsky, P., He, D.: Finding cultural heritage images through a Dual-Perspective Navigation Framework. Inf. Proc. Manag. 52(5), 820–839 (2016)CrossRefGoogle Scholar
  21. 21.
    Redden, C.S.: Social bookmarking in academic libraries: trends and applications. J. Acad. Librariansh. 36(3), 219–227 (2010)CrossRefGoogle Scholar
  22. 22.
    Salton, G., McGill, M.J.: Introduction to Modern Information Retrieval. McGraw-Hill, New York (1986)zbMATHGoogle Scholar
  23. 23.
    Schwartz, B., Tkachenko, V., Zaitsev, P.: High Performance MySQL, 3rd edn. O’Reilly Media, Sebastopol (2012)Google Scholar
  24. 24.
    Seltzer, M., Murphy, N.: Hierarchical file systems are dead. In: Proceedings of the 12th Conference on Hot Topics in Operating Systems (HotOS 2009) (2009)Google Scholar
  25. 25.
    Sierra, J.-L., Fernández-Valmayor, A., Guinea, M., Hernanz, H.: From research resources to learning objects: process model and virtualization experiences. Educ. Technol. Soc. 9(3), 56–68 (2006)Google Scholar
  26. 26.
    Sim, H., Kim, Y., Vazhkudai, S.S., Vallée, G.R., Lim, S.-H., Butt, A.R.: Tagit: an integrated indexing and search service for file systems. In: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC 2017) (2017)Google Scholar
  27. 27.
    Trattner, C., Lin, Y., Parra, D., Yue, Z., Real, W., Brusilovsky, P.: Evaluating tag-based information access in image collections. In: Proceedings of the 23rd ACM Conference on Hypertext and Social Media (HT 2012), pp. 113–122 (2012)Google Scholar
  28. 28.
    Watson, R., Dekeyser, S., Albadri, N.: Exploring the design space of metadata-focused file management systems. In: Proceedings of the Australasian Computer Science Week Multiconference (ACSW 2017) (2017)Google Scholar
  29. 29.
    Way, T., Eklund, P.: Social tagging for digital libraries using formal concept analysis. In: Proceedings of the 17th International Conference on Concept Lattices and Their Applications (CLA 2010) (2010)Google Scholar
  30. 30.
    Zobel, J., Moffat, A.: Inverted files for text search engines. ACM Comput. Surv. 33(2), Article 6 (2006)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Joaquín Gayoso-Cabada
    • 1
  • Mercedes Gómez-Albarrán
    • 1
  • José-Luis Sierra
    • 1
    Email author
  1. 1.Universidad Complutense de MadridMadridSpain

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