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Transcript
A Query Formulation Language For The Data Web
Aim
Abstract
Existing System:
We present a query formulation language (called Mash QL) in
order to easily query and fuse structured data on the web. The main
novelty of Mash QL is that it allows people with limited IT skills to
explore and query one (or multiple) data sources without prior knowledge
about the schema, structure, vocabulary, or any technical details of these
sources. More importantly, to be robust and cover most cases in practice,
we do not assume that a data source should have - an offline or inline schema. This poses several language-design and performance
complexities that we fundamentally tackle.
Proposed System
To illustrate the query formulation power of Mash QL, and without
loss of generality, we chose the Data web scenario. We also chose
querying RDF, as it is the most primitive data model; hence, MashQL can
be similarly used for querying relational databases and XML. We present
two implementations of MashQL, an online mashup editor, and a Firefox
add on. The former illustrates how MashQL can be used to query and
mash up the Data web as simple as filtering and piping web feeds; and the
Firefox add on illustrates using the browser as a web composer rather
than only a navigator. To end, we evaluate MashQL on querying two data
sets, DBLP and DBPedia, and show that our indexing techniques allow
instant user interaction.
Modules:
 Admin Module
 User Module
 DatBase Module
Requirements:
Operating System : Android OS,Android Sdk,Java
IDE
: Eclipse(latest versions)
DataBase
: Sqlite
Ram
:
1GB