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Search Computing: Managing Complex Search Queries
November/December 2010 (vol. 14 no. 6) pp. 14-22
Search computing focuses on building answers to complex search queries (for example, "Where can I attend an interesting conference in my field near a sunny beach?") by interacting with a constellation of cooperating search services, and using result ranking and joining as the dominant factors for service composition. The service computing paradigm has so far been neutral to the specific features of search applications and services. To address this weakness, search computing advocates a new approach in which search, join, and ranking are the central aspects for service composition. 1. R. Kumar and A. Tomkins, "A Characterization of Online Search Behaviour," Data Eng. Bull., vol. 32, no. 2, June 2009, pp. 3–11. 2. D. Braga et al., "Optimization of Multi-Domain Queries on the Web," Proc. Very Large Databases (VLDB), ACM Press, 2008, pp. 562–573. 3. R. Baeza-Yates and P. Raghavan, "Next Generation Web Search," Search Computing Challenges and Directions, S. Ceri, and M. Brambilla eds., LNCS 5950, Springer, 2010, pp. 11–23. 4. S. Ceri, and M. Brambilla eds., , Search Computing Challenges and Directions, LNCS 5950, Springer, 2010. 5. M. Brambilla and S. Ceri, "Engineering Search Computing Applications: Vision and Challenges," Proc. 7th Joint Meeting of the European Software Eng. Conf. and the ACM SIGSOFT Symp. Foundations of Software Eng. (ESEC/FSE 09), ACM Press, 2009, pp. 365–372. 6. D. Braga, "Panta Rhei: A Query Execution Environment," Search Computing: Challenges and Directions, LNCS 5950, Springer, 2010, pp. 225–243. 7. D. Braga et al., "Joining the Results of Heterogeneous Search Engines," Information Systems, vol. 33, nos. 7–8, 2008, pp. 658–680. 8. A. Bozzon et al., "Liquid Query: Multi-Domain Exploratory Search on the Web," Proc. 19th Int'l World Wide Web Conf. (WWW 2010), ACM Press, 2010, pp. 161–170. 9. F. Daniel et al., "Understanding UI Integration: A Survey of Problems, Technologies, and Opportunities," IEEE Internet Computing, vol. 11, no. 3, 2007, pp. 59–66. 1. S. Ceri et al., Designing Data-Intensive Web Applications, Morgan Kaufmann, 2002. 2. J.C. Shafer, R. Agrawal, and H.W. Lauw, "Symphony: Enabling Search-Driven Applications," Proc. VLDB Workshop Using Search Engine Technology for Information Management (USETIM), 2009; http://vldb2009.org/files/ProceedingsUSETIM paper-4.pdf.
Index Terms:
search, service composition, information exploration, rank aggregation, search engine, exploratory search
Citation:
Stefano Ceri, Adnan Abid, Mamoun Abu Helou, Davide Barbieri, Alessandro Bozzon, Daniele Braga, Marco Brambilla, Alessandro Campi, Francesco Corcoglioniti, Emanuele Della Valle, Davide Eynard, Piero Fraternali, Michael Grossniklaus, Davide Martinenghi, Stefania Ronchi, Marco Tagliasacchi, Salvatore Vadacca, "Search Computing: Managing Complex Search Queries," IEEE Internet Computing, vol. 14, no. 6, pp. 14-22, Nov.-Dec. 2010, doi:10.1109/MIC.2010.106 Usage of this product signifies your acceptance of the Terms of Use.
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