Semantic Reasoning Science: Scalink

The challenge – a deluge of data

More and more data is being made available everyday from a variety of data sources. These sources can include

Typically, city data is hetergeneous, sem-structured and volatile. Moreover, it exists in many different formats, such as xls, csv, xml, rdbms, kml, gtfs.

Veli Bicer Elizabeth M. Daly Yiannis Gkoufas Jer Hayes Freddy Lécué Rahul Nair
Marco Luca Sbodio Anika Schumann Martin Stephenson Simone Tallevi-Diotallevi Pierpaolo Tommasi Jiewen Wu

Quick facts


Scalink architecture

Aggregations (click to open or close)


Related publications

  1. Bicer et al., TRM--Learning Dependencies between Text and Structure with Topical Relational Models, ISWC 2013.
  2. Bicer et al., Ranking support for keyword search on structured data using relevance models, CIKM 2011.
  3. Lecue et al., Predicting Severity of Road Traffic Congestion Using Semantic Web Technologies, ESWC 2014.
  4. Kotoulas et al., SPUD - Semantic Processing of Urban Data, Journal of Web Semantics, 2014.
  5. Lecue et al., STAR-CITY: Semantic traffic analytics and reasoning for CITY, IUI 2014.
  6. A. Wagner, V. Bicer, T. Tran, Pay-as-you-go Approximate Join Top-k Processing for the Web of Data. ESWC, 2014.
  7. Y. Ma, T. Tran, V. Bicer, TYPifier: Inferring the Type Semantics of Structured Data, ICDE 2013.
  1. A.Wagner, V. Bicer, T.Tran, Selectivity Estimation for Text-Rich Databases, EDBT 2013.
  2. A.Wagner, V. Bicer, T.Tran, R.Studer, Holistic and Compact Selectivity Estimation for Hybrid Queries over RDF Graphs, ISWC 2014.
  3. E. M. Daly, F. Lecue, V. Bicer , Westland Row Why So Slow? Fusing Social Media and Linked Data Sources for Understanding Real-Time Traffic Conditions, IUI 2013.
  4. V. Bicer, V. Lopez, Searching in the city of knowledge, SIGIR 2013 (Tutorial).
  5. S. Bischof, S. Decker, T. Krennwallner, N. Lopes, A. Polleres: Mapping between RDF and XML with XSPARQL. J. Data Semantics 2012.