Intelligent Query Answering by Knowledge Discovery Techniques
IEEE Transactions on Knowledge and Data Engineering
Context-Sensitive Semantic Query Expansion
ICAIS '02 Proceedings of the 2002 IEEE International Conference on Artificial Intelligence Systems (ICAIS'02)
Distributed caching with memcached
Linux Journal
Exploratory search: from finding to understanding
Communications of the ACM - Supporting exploratory search
Generating query substitutions
Proceedings of the 15th international conference on World Wide Web
Principles of dataspace systems
Proceedings of the twenty-fifth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Context-aware query classification
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Executing SPARQL Queries over the Web of Linked Data
ISWC '09 Proceedings of the 8th International Semantic Web Conference
Liquid query: multi-domain exploratory search on the web
Proceedings of the 19th international conference on World wide web
Data summaries for on-demand queries over linked data
Proceedings of the 19th international conference on World wide web
An agglomerative query model for discovery in linked data: semantics and approach
Procceedings of the 13th International Workshop on the Web and Databases
DrillBeyond: enabling business analysts to explore the web of open data
Proceedings of the VLDB Endowment
Linked Data and Live Querying for Enabling Support Platforms for Web Dataspaces
ICDEW '12 Proceedings of the 2012 IEEE 28th International Conference on Data Engineering Workshops
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The problem of the inability of machines to interpret and process information published on web pages caused the development of a web of data, next to the web of documents. The idea is known as the Semantic Web, where links between information are established in a way that machines can understand and interpret. With its development, new applications were introduced to query and process this linked data. Additionally the open data initiative was launched with the goal to publish governmental, scientific, and cultural data freely accessible on the web. Often, this open data is offered in a semi-structured form, like CSV files, but can also be transformed into linked data format. With this linked open data, programs can be created that efficiently process queries and find information. This work is supposed to integrate the support for discovery queries into an existing LOD cache engine. The goal is to develop a new approach that processes SPARQL queries and augments the result with discovered information from different (online) sources. Thus, the approach can help users to explore new information and knowledge more easily. Users should not worry about what particular data is stored locally and which identifiers are used. To do so, we plan to extend the rewriting process during logical optimization of SPARQL queries.