Effective keyword search in relational databases
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Effective keyword-based selection of relational databases
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
A graph method for keyword-based selection of the top-K databases
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Top-k Exploration of Query Candidates for Efficient Keyword Search on Graph-Shaped (RDF) Data
ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
The RDF-3X engine for scalable management of RDF data
The VLDB Journal — The International Journal on Very Large Data Bases
Data summaries for on-demand queries over linked data
Proceedings of the 19th international conference on World wide web
Sig.ma: live views on the web of data
Proceedings of the 19th international conference on World wide web
YARS2: a federated repository for querying graph structured data from the web
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Linked data metrics for flexible expert search on the open web
ESWC'11 Proceedings of the 8th extended semantic web conference on The semantic web: research and applications - Volume Part I
ANAPSID: an adaptive query processing engine for SPARQL endpoints
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part I
KOIOS: utilizing semantic search for easy-access and visualization of structured environmental data
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part II
Freshening up while staying fast: towards hybrid SPARQL queries
EKAW'12 Proceedings of the 18th international conference on Knowledge Engineering and Knowledge Management
Improving the recall of live linked data querying through reasoning
RR'12 Proceedings of the 6th international conference on Web Reasoning and Rule Systems
Hybrid SPARQL queries: fresh vs. fast results
ISWC'12 Proceedings of the 11th international conference on The Semantic Web - Volume Part I
Hi-index | 0.00 |
The proliferation of linked data on the Web paves the way to a new generation of applications that exploit heterogeneous data from different sources. However, because this Web of data is large and continuously evolving, it is non-trivial to identify the relevant link data sources and to express some given information needs as structured queries against these sources. In this work, we allow users to express needs in terms of simple keywords. Given the keywords, we define the problem of finding the relevant sources as the one of keyword query routing. As a solution, we present a family of summary models, which compactly represents the Web of linked data and allows to quickly find relevant sources. The proposed models capture information at different levels, representing summaries of varying granularity. They represent different trade-offs between effectiveness and efficiency. We provide a theoretical analysis of these trade-offs and also, verify them in experiments carried out in a real-world setting using more than 150 publicly available datasets.