- From: Andy Seaborne <andy@apache.org>
- Date: Mon, 28 Oct 2013 16:19:46 +0000
- To: public-propertygraphs@w3.org
Some other areas I think are interesting are: 1/ Merging data / graphs 2/ Inference 3/ "Publishing" and relationship to the web (e.g. use of dereferenceable URIs for concepts) - this also relates to (1). Andy On 25/10/13 14:33, Ashok Malhotra wrote: > Property Graphs differ from other data models such as RDF and > Entity-Relationship (E-R) > in that they support properties on the arcs (relationships). This makes > it easy to represent > and query some kinds of information. Here are two examples: > > EXAMPLE 1: > Consider a case where the nodes represent people. Arcs represent > "friend" relationships > between people. If the arcs have a property such as "started" that > indicates when the > friend relationship was instantiated, then it is easy to process queries > such as: > "Show all people that have been friends for more than 2 years". > > Facebook graph queries have a feature that lets you time-bound queries. > I don't know if they use Property Graphs but time properties on arcs would > certainly facilitate some of these queries. > > EXAMPLE 2: > Consider a situation where the nodes are students and courses. Students > can enroll > in many courses and each course can have many students. A student's > enrollment in > a course would be represented by an arc between the student and the > course. The > student's grade would then be a property of the arc. (There may be > other arc properties > such as the student's attendance). Having the grade as a property of > the arc makes it > simple to ask such queries as "Which students had all A's in all courses?" > > Does this make sense? Clearly such information can be represented and > queried > using other data models but, I claim, not so naturally and so efficiently. > > A claim that has been made is that the data we get from Social Media > fits naturally into > a Property Graph framework. I don't know if this is true. > >
Received on Monday, 28 October 2013 16:20:17 UTC