Thesis: automatic ontology generation from web tabular structures
AI Communications
RDF123: From Spreadsheets to RDF
ISWC '08 Proceedings of the 7th International Conference on The Semantic Web
A Pattern Based Approach for Re-engineering Non-Ontological Resources into Ontologies
ASWC '08 Proceedings of the 3rd Asian Semantic Web Conference on The Semantic Web
LinkedGeoData: Adding a Spatial Dimension to the Web of Data
ISWC '09 Proceedings of the 8th International Semantic Web Conference
Privacy-preserving data publishing: A survey of recent developments
ACM Computing Surveys (CSUR)
Unlocking the potential of public sector information with semantic web technology
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Live linked open sensor database
Proceedings of the 6th International Conference on Semantic Systems
Querying RDF streams with C-SPARQL
ACM SIGMOD Record
Recovering semantics of tables on the web
Proceedings of the VLDB Endowment
TWC LOGD: A portal for linked open government data ecosystems
Web Semantics: Science, Services and Agents on the World Wide Web
A publishing pipeline for linked government data
ESWC'12 Proceedings of the 9th international conference on The Semantic Web: research and applications
Guided exploration and integration of urban data
Proceedings of the 24th ACM Conference on Hypertext and Social Media
Searching in the city of knowledge: challenges and recent developments
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
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In this paper, we present QuerioCity, a platform to catalog, index and query highly heterogenous information coming from complex systems, such as cities. A series of challenges are identified: namely, the heterogeneity of the domain and the lack of a common model, the volume of information and the number of data sets, the requirement for a low entry threshold to the system, the diversity of the input data, in terms of format, syntax and update frequency (streams vs static data), and the sensitivity of the information. We propose an approach for incremental and continuous integration of static and streaming data, based on Semantic Web technologies. The proposed system is unique in the literature in terms of handling of multiple integrations of available data sets in combination with flexible provenance tracking, privacy protection and continuous integration of streams. We report on lessons learnt from building the first prototype for Dublin.