Supporting Dynamic Queries and Annotations Over Data Graphs

When managing large-scale graph structured data, such as those derived from social networks and dynamic distributed systems, we often need to associate metadata with whole subgraphs of data. In particular, provenance and trustworthinessare examples of metadata that can be associated to entire sugbraphs. To the extent of our knowledge, however, little work has focused on the problem of representing and querying relationships between graphs. In addition, previous research has mainly focused on annotations for static data. To support recursive and dynamic provenance annotations, we propose representing metadata as dynamic annotations over dynamic data graphs. Specifically, we extend the RDF data model and SPARQL with the notion of variables and named query graphs (i.e., dynamic graphs defined by a SPARQL query) as first-class citizens. By doing so, we allow statements where subjects and objects in RDF triples are dynamic graphs, thus enabling the representation and querying of relationships between graphs. Finally, we define the semantics of an inheritance property for relationships between dynamic graphs, and we study the problems of query containment and query composition in the context of join operations between dynamic graphs.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Computer Science

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2011

Author dc:creator

• Matos Fonseca Da Trindade, Joana

Contributors dc:contributor

• Winslett, Marianne

• Resource Description Framework (rdf)
• SPARQL Protocol and RDF Query Language (sparql)
• metadata
• graphs
• data management
• database
• Structured Query Language (SQL)

Statement dc:rights

• Copyright 2011 Joana Matos Fonseca da Trindade

Language dc:language

en

Handle dc:identifier

http://hdl.handle.net/2142/26064

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/26064