The three semantics of fuzzy sets
Fuzzy Sets and Systems - Special issue: fuzzy sets: where do we stand? Where do we go?
Searching the Semantic Web: Approximate Query Processing Based on Ontologies
IEEE Intelligent Systems
Fuzzy Sets Defined on a Hierarchical Domain
IEEE Transactions on Knowledge and Data Engineering
Scalable querying services over fuzzy ontologies
Proceedings of the 17th international conference on World Wide Web
Fuzzy Annotation of Web Data Tables Driven by a Domain Ontology
ESWC 2009 Heraklion Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications
A relaxed approach to RDF querying
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
A fuzzy extension for the XPath query language
FQAS'06 Proceedings of the 7th international conference on Flexible Query Answering Systems
IEEE Transactions on Fuzzy Systems
Combining approximation and relaxation in semantic web path queries
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part I
An ontology-based method for duplicate detection in web data tables
DEXA'11 Proceedings of the 22nd international conference on Database and expert systems applications - Volume Part I
An ontological and terminological resource for n-ary relation annotation in web data tables
OTM'11 Proceedings of the 2011th Confederated international conference on On the move to meaningful internet systems - Volume Part II
Data reliability assessment in a data warehouse opened on the web
FQAS'11 Proceedings of the 9th international conference on Flexible Query Answering Systems
| Hi-index | 0.00 |
This paper concerns the design of a workflow which permits to feed and query a data warehouse opened on the Web, driven by a domain ontology. This data warehouse has been built to enrich local data sources and is composed of data tables extracted from Web documents. We recall the main steps of our semi-automatic method to annotate Web data tables driven by a domain ontology. The output of this method is an XML/RDF data warehouse composed of XML documents representing Web data tables with their fuzzy RDF annotations. We then present how to query simultaneously the local data sources and the XML/RDF data warehouse, using the domain ontology, through a flexible querying language. This language allows preferences to be expressed in selection criteria using fuzzy sets. We study more precisely how to retrieve approximate answers extracted from the Web data tables by comparing preferences expressed as fuzzy sets with fuzzy annotations using SPARQL.