Supporting Dynamic Queries and Annotations Over Data Graphs

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

Matos Fonseca Da Trindade, Joana ; Winslett ; Marianne

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

Others  :  https://www.ideals.illinois.edu/bitstream/handle/2142/26064/MatosFonsecaDaTrindade_Joana.pdf?sequence=1&isAllowed=y

美国|英语

来源: The Illinois Digital Environment for Access to Learning and Scholarship

【 摘 要 】

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.