Query Language

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Hassan Chafi - One of the best experts on this subject based on the ideXlab platform.

  • pgql a property graph Query Language
    Proceedings of the Fourth International Workshop on Graph Data Management Experiences and Systems, 2016
    Co-Authors: Oskar Van Rest, Sungpack Hong, Xuming Meng, Hassan Chafi
    Abstract:

    Graph-based approaches to data analysis have become more widespread, which has given need for a Query Language for graphs. Such a graph Query Language needs not only SQL-like functionality for Querying structured data, but also intrinsic support for typical graph-style applications: reachability analysis, path finding and graph construction. We propose a new Query Language for the popular Property Graph (PG) data model: the Property Graph Query Language (PGQL). PGQL is based on the paradigm of graph pattern matching, closely follows syntactic structures of SQL, and provides regular path queries with conditions on labels and properties to allow for reachability and path finding queries. Besides intrinsic vertex, edge and path types, PGQL also has the graph as intrinsic type and allows for graph construction and Query composition.

  • GRADES - PGQL: a property graph Query Language
    Proceedings of the Fourth International Workshop on Graph Data Management Experiences and Systems - GRADES '16, 2016
    Co-Authors: Oskar Van Rest, Sungpack Hong, Xuming Meng, Hassan Chafi
    Abstract:

    Graph-based approaches to data analysis have become more widespread, which has given need for a Query Language for graphs. Such a graph Query Language needs not only SQL-like functionality for Querying structured data, but also intrinsic support for typical graph-style applications: reachability analysis, path finding and graph construction. We propose a new Query Language for the popular Property Graph (PG) data model: the Property Graph Query Language (PGQL). PGQL is based on the paradigm of graph pattern matching, closely follows syntactic structures of SQL, and provides regular path queries with conditions on labels and properties to allow for reachability and path finding queries. Besides intrinsic vertex, edge and path types, PGQL also has the graph as intrinsic type and allows for graph construction and Query composition.

S. Greco - One of the best experts on this subject based on the ideXlab platform.

  • A graphical XML Query Language
    Proceedings 18th International Conference on Data Engineering, 2002
    Co-Authors: S. Flesca, F. Furfaro, S. Greco
    Abstract:

    Informally presents the Query Language /spl Xscr//spl Gscr//spl Lscr/ (eXtensible Graphical Language). The main features of the Language are described by means of two queries on a document named "bib.xml" (a document describing the bibliographic details of a book).

A. Choi - One of the best experts on this subject based on the ideXlab platform.

  • COMPSAC - Dynamic spatial Query Language: a customized Query Language for object-oriented database systems
    [1991] Proceedings The Fifteenth Annual International Computer Software & Applications Conference, 1991
    Co-Authors: A. Choi
    Abstract:

    A design is presented of a customized Query Language for manipulating geometric objects in a three-dimensional space, called dynamic spatial Query Language (DSQL), with which an end user retrieves, updates, and deletes spatial and nonspatial information about the objects without any knowledge of their exact spatial locations. DSQL, as an application-oriented Query Language, is built on top of an object-oriented database system, and operates on a database view that captures spatial characteristics of the objects and relationships among the objects. The authors also describe a bilevel data modeling approach as a methodology for design and implementation application-oriented Query Languages. >

  • Dynamic spatial Query Language: a customized Query Language for object-oriented database systems
    [1991] Proceedings The Fifteenth Annual International Computer Software & Applications Conference, 1991
    Co-Authors: A. Choi
    Abstract:

    A design is presented of a customized Query Language for manipulating geometric objects in a three-dimensional space, called dynamic spatial Query Language (DSQL), with which an end user retrieves, updates, and deletes spatial and nonspatial information about the objects without any knowledge of their exact spatial locations. DSQL, as an application-oriented Query Language, is built on top of an object-oriented database system, and operates on a database view that captures spatial characteristics of the objects and relationships among the objects. The authors also describe a bilevel data modeling approach as a methodology for design and implementation application-oriented Query Languages.

Oskar Van Rest - One of the best experts on this subject based on the ideXlab platform.

  • pgql a property graph Query Language
    Proceedings of the Fourth International Workshop on Graph Data Management Experiences and Systems, 2016
    Co-Authors: Oskar Van Rest, Sungpack Hong, Xuming Meng, Hassan Chafi
    Abstract:

    Graph-based approaches to data analysis have become more widespread, which has given need for a Query Language for graphs. Such a graph Query Language needs not only SQL-like functionality for Querying structured data, but also intrinsic support for typical graph-style applications: reachability analysis, path finding and graph construction. We propose a new Query Language for the popular Property Graph (PG) data model: the Property Graph Query Language (PGQL). PGQL is based on the paradigm of graph pattern matching, closely follows syntactic structures of SQL, and provides regular path queries with conditions on labels and properties to allow for reachability and path finding queries. Besides intrinsic vertex, edge and path types, PGQL also has the graph as intrinsic type and allows for graph construction and Query composition.

  • GRADES - PGQL: a property graph Query Language
    Proceedings of the Fourth International Workshop on Graph Data Management Experiences and Systems - GRADES '16, 2016
    Co-Authors: Oskar Van Rest, Sungpack Hong, Xuming Meng, Hassan Chafi
    Abstract:

    Graph-based approaches to data analysis have become more widespread, which has given need for a Query Language for graphs. Such a graph Query Language needs not only SQL-like functionality for Querying structured data, but also intrinsic support for typical graph-style applications: reachability analysis, path finding and graph construction. We propose a new Query Language for the popular Property Graph (PG) data model: the Property Graph Query Language (PGQL). PGQL is based on the paradigm of graph pattern matching, closely follows syntactic structures of SQL, and provides regular path queries with conditions on labels and properties to allow for reachability and path finding queries. Besides intrinsic vertex, edge and path types, PGQL also has the graph as intrinsic type and allows for graph construction and Query composition.

S. Flesca - One of the best experts on this subject based on the ideXlab platform.

  • A graphical XML Query Language
    Proceedings 18th International Conference on Data Engineering, 2002
    Co-Authors: S. Flesca, F. Furfaro, S. Greco
    Abstract:

    Informally presents the Query Language /spl Xscr//spl Gscr//spl Lscr/ (eXtensible Graphical Language). The main features of the Language are described by means of two queries on a document named "bib.xml" (a document describing the bibliographic details of a book).