Temporal Data Representation and Querying Based on RDF

Querying RDF Data

This chapter provides an introduction to the RDF language as well as surveys the languages that can be used for querying RDF graphs. Then it reviews some of the languages that can be used for querying RDF and provides a comparison between these query languages.

Applied Temporal RDF: Efficient Temporal Querying of RDF Data with SPARQL

Many applications operate on time-sensitive data. Some of these data are only valid for certain intervals (e.g., job-assignments, versions of software code), others describe temporal events that happened at certain points in time (e.g., a persons birthday). Until recently, the only way to incorporate time into Semantic Web models was as a data type property. Temporal RDF, however, considers tim...

Knowledge-based Multimodal Data Representation and Querying

This paper focuses on the representation and querying of knowledge-based multimodal data. Our work stands in the multidisciplinary project OTIM (Tools for Multimodal Annotation) dedicated to the development of tools for multimodal annotation of french conversational data. OTIM aims at encoding and manipulating annotations from all the linguistic domains in an unique framework. Defining a data m...

Storing and Querying RDF Data in Atlas∗

Querying RDF Data Using A Multigraph-based Approach

RDF is a standard for the conceptual description of knowledge, and SPARQL is the query language conceived to query RDF data. The RDF data is cherished and exploited by various domains such as life sciences, Semantic Web, social network, etc. Further, its integration at Web-scale compels RDF management engines to deal with complex queries in terms of both size and structure. In this paper, we pr...