A foundation for capturing and querying complex multidimensional data
Information Systems - Data warehousing
The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling
The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling
Swoogle: a search and metadata engine for the semantic web
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Efficient keyword search for smallest LCAs in XML databases
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Capturing summarizability with integrity constraints in OLAP
ACM Transactions on Database Systems (TODS)
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Automating multidimensional design from ontologies
Proceedings of the ACM tenth international workshop on Data warehousing and OLAP
Fragment-based approximate retrieval in highly heterogeneous XML collections
Data & Knowledge Engineering
A tool for data cube construction from structurally heterogeneous XML documents
Journal of the American Society for Information Science and Technology
Falcons: searching and browsing entities on the semantic web
Proceedings of the 17th international conference on World Wide Web
Bio2RDF: Towards a mashup to build bioinformatics knowledge systems
Journal of Biomedical Informatics
Medical Data Integration and the Semantic Annotation of Medical Protocols
CBMS '08 Proceedings of the 2008 21st IEEE International Symposium on Computer-Based Medical Systems
Generating complex ontology instances from documents
Journal of Algorithms
A relational data harmonization approach to XML
Journal of Information Science
Modular reuse of ontologies: theory and practice
Journal of Artificial Intelligence Research
Efficient retrieval of ontology fragments using an interval labeling scheme
Information Sciences: an International Journal
Semplore: A scalable IR approach to search the Web of Data
Web Semantics: Science, Services and Agents on the World Wide Web
A survey on summarizability issues in multidimensional modeling
Data & Knowledge Engineering
Discovering functional dependencies for multidimensional design
Proceedings of the ACM twelfth international workshop on Data warehousing and OLAP
Semantic clustering of XML documents
ACM Transactions on Information Systems (TOIS)
Reducing metadata complexity for faster table summarization
Proceedings of the 13th International Conference on Extending Database Technology
Safe and economic re-use of ontologies: a logic-based methodology and tool support
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
The Description Logic Handbook: Theory, Implementation and Applications
The Description Logic Handbook: Theory, Implementation and Applications
Invited paper: Sig.ma: Live views on the Web of Data
Web Semantics: Science, Services and Agents on the World Wide Web
Multidimensional integrated ontologies: a framework for designing semantic data warehouses
Journal on Data Semantics XIII
Searching semantic data warehouses: models, issues, architectures
Proceedings of the 2nd International Workshop on Semantic Search over the Web
Business model ontologies in OLAP cubes
CAiSE'13 Proceedings of the 25th international conference on Advanced Information Systems Engineering
RDF analytics: lenses over semantic graphs
Proceedings of the 23rd international conference on World wide web
Hi-index | 0.00 |
The Semantic Web (SW) deployment is now a realization and the amount of semantic annotations is ever increasing thanks to several initiatives that promote a change in the current Web towards the Web of Data, where the semantics of data become explicit through data representation formats and standards such as RDF/(S) and OWL. However, such initiatives have not yet been accompanied by efficient intelligent applications that can exploit the implicit semantics and thus, provide more insightful analysis. In this paper, we provide the means for efficiently analyzing and exploring large amounts of semantic data by combining the inference power from the annotation semantics with the analysis capabilities provided by OLAP-style aggregations, navigation, and reporting. We formally present how semantic data should be organized in a well-defined conceptual MD schema, so that sophisticated queries can be expressed and evaluated. Our proposal has been evaluated over a real biomedical scenario, which demonstrates the scalability and applicability of the proposed approach.