Linked data on the web (LDOW2008)
Proceedings of the 17th international conference on World Wide Web
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
Kosmix: high-performance topic exploration using the deep web
Proceedings of the VLDB Endowment
Liquid query: multi-domain exploratory search on the web
Proceedings of the 19th international conference on World wide web
Competing for users' attention: on the interplay between organic and sponsored search results
Proceedings of the 19th international conference on World wide web
Human-assisted graph search: it's okay to ask questions
Proceedings of the VLDB Endowment
Exploratory search in multi-domain information spaces with liquid query
Proceedings of the 20th international conference companion on World wide web
Efficient computation of search computing queries
Search computing
Tools supporting search computing application development
Search computing
Search computing: multi-domain search on ranked data
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
Exploratory multi-domain search on web data sources with liquid queries
ICWE'11 Proceedings of the 11th international conference on Web engineering
Exploratory search framework for Web data sources
The VLDB Journal — The International Journal on Very Large Data Bases
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Current search engines do not support queries that require a complex combination of information. Problems such as "Which theatre offers an at least-three-stars action movie in London close to a good Italian restaurant" can only be solved by asking multiple queries, possibly to different search engines, and then manually combining results, thereby performing "data integration in the brain." While searching the Web is the preferred method for accessing information in everyday's practice, users expect that search systems will soon be capable of mastering complex queries. However, combining information requires a drastic change of perspective: a new generation of search computing systems is needed, capable of going beyond the capabilities of current search engines. In this paper we show how search computing should open to modular composition, as many other kinds of software computations. We first motivate our work by describing our vision, and then describe how the challenges of multi-domain search are addressed by a prototype framework, whose internal "anatomy" is disclosed.