A Novel Combined Term Suggestion Service for Domain-Specific Digital Libraries
Interactive query expansion can assist users during their query formulation process. We conducted a user study with over 4,000 unique visitors and four different design approaches for a search term suggestion service. As a basis for our evaluation we have implemented services which use three different vocabularies: (1) user search terms, (2) terms from a terminology service and (3) thesaurus terms. Additionally, we have created a new combined service which utilizes thesaurus term and terms from a domain-specific search term recommender. Our results show that the thesaurus-based method clearly is used more often compared to the other single-method implementations. We interpret this as a strong indicator that term suggestion mechanisms should be domain-specific to be close to the user terminology. Our novel combined approach which interconnects a thesaurus service with additional statistical relations outperformed all other implementations. All our observations show that domain-specific vocabulary can support the user in finding alternative concepts and formulating queries.
KeywordsEvaluation Term Suggestion Query Suggestion Thesaurus Digital Libraries Interactive Query Expansion
Unable to display preview. Download preview PDF.
- 2.Belkin, N.J.: Anomalous states of knowledge as a basis for information retrieval. Canadian Journal of Information Science 5, 133–143 (1980)Google Scholar
- 4.Cucerzan, S., Brill, E.: Spelling Correction as an Iterative Process that Exploits the Collective Knowledge of Web Users. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing, EMNLP (2004)Google Scholar
- 5.Efthimiadis, E.N.: Query expansion. Annual Review of Information Systems and Technology (ARIST) 31, 121–187 (1996)Google Scholar
- 7.Hargittai, E.: Hurdles to information seeking: Spelling and typographical mistakes during users’ online behavior. Journal of the Association of Information Systems 7(1), 52–67 (2006)Google Scholar
- 10.Kelly, D., Gyllstrom, K., Bailey, E.W.: A comparison of query and term suggestion features for interactive searching. In: Proceedings of the 32nd International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 371–378 (2009)Google Scholar
- 11.Marchionini, G., White, R., Belkin, N., Golovchinsky, G., Kelly, D., Pirolli, P., Schraefel, M.: Information Seeking Support Systems: An invitational workshop sponsored by the National Science Foundation (2008)Google Scholar
- 12.Mayr, P., Petras, V.: Cross-concordances: terminology mapping and its effectiveness for information retrieval. In: 74th IFLA World Library and Information Congress, Québec, Canada (2008)Google Scholar
- 13.Nettle, D.: Segmental inventory size, word length, and communicative efficiency. Linguistics 2, 359–367 (1995)Google Scholar
- 14.Petras, V.: How one word can make all the difference - using subject metadata for automatic query expansion and reformulation. In: Peters, C., Gey, F.C., Gonzalo, J., Müller, H., Jones, G.J.F., Kluck, M., Magnini, B., de Rijke, M., Giampiccolo, D. (eds.) CLEF 2005. LNCS, vol. 4022, pp. 21–23. Springer, Heidelberg (2006)CrossRefGoogle Scholar
- 15.Plaunt, C., Norgard, B.A.: An association-based method for automatic indexing with a controlled vocabulary. J. Am. Soc. Inf. Sci. 49, 888–902 (1998)Google Scholar
- 16.Schatz, B.R., Johnson, E.H., Cochrane, P.A., Chen, H.: Interactive term suggestion for users of digital libraries: using subject thesauri and co-occurrence lists for information retrieval. In: Proceedings of the First ACM International Conference on Digital Libraries, pp. 126–133. ACM, New York (1996)CrossRefGoogle Scholar
- 19.White, R.W., Bilenko, M., Cucerzan, S.: Studying the use of popular destinations to enhance web search interaction. In: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 159–166. ACM, New York (2007)Google Scholar