Optimization of multi-domain queries on the 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
Designing service marts for engineering search computing applications
ICWE'10 Proceedings of the 10th international conference on Web engineering
Proceedings of the VLDB Endowment
Search Computing: challenges and Directions
Search Computing: challenges and Directions
The anatomy of a multi-domain search infrastructure
ICWE'11 Proceedings of the 11th international conference on Web engineering
A conceptual framework for linked data exploration
ICWE'11 Proceedings of the 11th international conference on Current Trends in Web Engineering
An entity class model based correlated query path selection method in multiple domains
APWeb'12 Proceedings of the 14th Asia-Pacific international conference on Web Technologies and Applications
Materialization of web data sources
Search Computing
Natural language interfaces to data services
Search Computing
A bottom-up, knowledge-aware approach to integrating and querying web data services
ACM Transactions on the Web (TWEB)
Hi-index | 0.00 |
We demonstrate the Search Computing framework for multi-domain queries upon ranked data collected from Web sources. Search Computing answers to queries like "Find a good Jazz concert close to a specified location, a good restaurant and a hotel at walking distance" and fills the gap between generic and domain-specific search engines, by proposing new methods, techniques, interfaces, and tools for building search-based applications spanning multiple data services. The main enabling technology is an execution engine supporting methods for rank-join execution upon ranked data sources, abstracted and wrapped by means of a unifying service model. The demo walks through the interface for formulating multi-domain queries and follows the steps of the query engine that builds the result, with the help of run-time monitors that clearly explain the system's behavior. Once results are extracted, the demonstration shows several approaches for visualizing results and exploring the information space.