• Conference Object  

      A data mashup language for the Data Web 

      Jarrar, M.; Dikaiakos, Marios D. (2009)
      This paper is motivated by the massively increasing structured data on the Web (Data Web), and the need for novel methods to exploit these data to their full potential. Building on the remarkable success of Web 2.0 mashups, ...
    • Conference Object  

      MashQL: A query-by-diagram topping SPARQL towards semantic data mashups 

      Jarrar, M.; Dikaiakos, Marios D. (2008)
      This article is motivated by the importance of building web data mashups. Building on the remarkable success of Web 2.0 mashups, and specially Yahoo Pipes, we generalize the idea of mashups and regard the Internet as a ...
    • Article  

      A query formulation language for the data web 

      Jarrar, M.; Dikaiakos, Marios D. (2012)
      We present a query formulation language (called MashQL) in order to easily query and fuse structured data on the web. The main novelty of MashQL is that it allows people with limited IT skills to explore and query one (or ...
    • Article  

      Querying the data web: The mashql approach 

      Jarrar, M.; Dikaiakos, Marios D. (2010)
      MashQL, a novel query formulation language for querying and mashing up structured data on the Web, doesn't require users to know the queried data's structure or the data itself to adhere to a schema. In this article, the ...