A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Natural language vs. Boolean query evaluation: a comparison of retrieval performance
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Foundations of Databases: The Logical Level
Foundations of Databases: The Logical Level
Modern Information Retrieval
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Personal and Ubiquitous Computing
DBXplorer: A System for Keyword-Based Search over Relational Databases
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Keyword Searching and Browsing in Databases using BANKS
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
The description logic handbook: theory, implementation, and applications
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On Data Management in Pervasive Computing Environments
IEEE Transactions on Knowledge and Data Engineering
Ontology Based Context Modeling and Reasoning using OWL
PERCOMW '04 Proceedings of the Second IEEE Annual Conference on Pervasive Computing and Communications Workshops
Computer Supported Cooperative Work
NaLIX: an interactive natural language interface for querying XML
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Searching the Web: From Keywords to Semantic Queries
ICITA '05 Proceedings of the Third International Conference on Information Technology and Applications (ICITA'05) Volume 2 - Volume 02
The SMART Retrieval System—Experiments in Automatic Document Processing
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ObjectRank: a system for authority-based search on databases
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Context Aware Retrieval of Health Information on the Web
LA-WEB '06 Proceedings of the Fourth Latin American Web Congress
Discover: keyword search in relational databases
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
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ACM SIGMOD Record
Context-aware information retrieval on a ubiquitous medical learning environment
Proceedings of the 2008 ACM symposium on Applied computing
SQAK: doing more with keywords
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
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International Journal of Web Engineering and Technology
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
Extending autocompletion to tolerate errors
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Semantics and complexity of SPARQL
ACM Transactions on Database Systems (TODS)
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Communications of the ACM - Scratch Programming for All
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Keyword querying and ranking in databases
Proceedings of the VLDB Endowment
Ontology-based interpretation of keywords for semantic search
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Expressive and flexible access to web-extracted data: a keyword-based structured query language
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Si-SEEKER: ontology-based semantic search over databases
KSEM'06 Proceedings of the First international conference on Knowledge Science, Engineering and Management
SemSearch: a search engine for the semantic web
EKAW'06 Proceedings of the 15th international conference on Managing Knowledge in a World of Networks
Semantic pervasive advertising
RR'13 Proceedings of the 7th international conference on Web Reasoning and Rule Systems
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Pervasive access to distributed data sources by means of mobile devices is becoming a frequent realistic operational context in many application domains. In these scenarios data access may be thwarted by the scarce knowledge that users have of the application and of the underlying data schemas and complicated by limited query interfaces, due to the small size of the devices. A viable solution to this problem could be expressing the queries in natural language; however, in applications like medical emergencies, data management systems must obey requirements such as very fast and precise data access which make this solution infeasible. To reduce the time needed to get answers to user queries, the paper proposes a lightweight, context-aware approach based on the combination of keywords with natural language queries. The method employs ontologies and query patterns to support the users in formulating the most appropriate query for retrieving the desired data. Precision and query efficiency are further improved by focusing searches only to the data which are meaningful w.r.t. the current context, thus supporting the users' situation awareness. The approach has been integrated in the SAFE system, developed for mobile and Web, and has been applied in cardiology to support medical personnel in emergency interventions on patients affected by chronic cerebro-vascular diseases. Experimental results have shown that the proposed solution significantly reduces the time to get useful data w.r.t. traditional form-based approaches.