Combining fuzzy information from multiple systems
Journal of Computer and System Sciences
A model for web services discovery with QoS
ACM SIGecom Exchanges
Optimal aggregation algorithms for middleware
Journal of Computer and System Sciences - Special issu on PODS 2001
Meteor-s web service annotation framework
Proceedings of the 13th international conference on World Wide Web
Supporting top-k join queries in relational databases
The VLDB Journal — The International Journal on Very Large Data Bases
Exact functional context matching for web services
Proceedings of the 2nd international conference on Service oriented computing
The Lixto data extraction project: back and forth between theory and practice
PODS '04 Proceedings of the twenty-third ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Progressive skyline computation in database systems
ACM Transactions on Database Systems (TODS) - Special Issue: SIGMOD/PODS 2003
SIAM Journal on Discrete Mathematics
Efficient top-k aggregation of ranked inputs
ACM Transactions on Database Systems (TODS)
Shooting stars in the sky: an online algorithm for skyline queries
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Communications of the ACM - Web science
A survey of top-k query processing techniques in relational database systems
ACM Computing Surveys (CSUR)
Joining the results of heterogeneous search engines
Information Systems
IEEE Internet Computing
Optimization of multi-domain queries on the web
Proceedings of the VLDB Endowment
Aggregated search of data and services
Information Systems
Mobile multi-domain search over structured web data
Search Computing
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Search computing is a novel discipline whose goal is to answer complex, multi-domain queries. Such queries typically require combining in their results domain knowledge extracted from multiple Web resources; therefore, conventional crawling and indexing techniques, which look at individual Web pages, are not adequate for them. In this paper, we sketch the main characteristics of search computing and we highlight how various classical computer science disciplines - including software engineering, Web engineering, service-oriented architectures, data management, and human-computing interaction - are challenged by the search computing approach.