2005
DOI: 10.1007/11575801_17
|View full text |Cite
|
Sign up to set email alerts
|

Multidimensional RDF

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
5
0

Year Published

2006
2006
2024
2024

Publication Types

Select...
4
2

Relationship

0
6

Authors

Journals

citations
Cited by 12 publications
(5 citation statements)
references
References 12 publications
0
5
0
Order By: Relevance
“…The following result states that if we require A to be a partial order with a top element 12 , then we are guaranteed consistency.…”
Section: T K } Inmentioning
confidence: 99%
See 2 more Smart Citations
“…The following result states that if we require A to be a partial order with a top element 12 , then we are guaranteed consistency.…”
Section: T K } Inmentioning
confidence: 99%
“…[5] gives a model for temporal RDF, allowing triples to be specified as true for a finite time interval. [12] defines a model for representing multi-dimensional RDF, where information can be context dependent; for instance the title of a book may be represented in different languages. Our approach differs from all of the above: (i) we define a general framework for extending the RDF data model with annotations from an arbitrary partially ordered set; (ii) we give efficient algorithms for querying annotated RDF ontologies.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…18 The issue appears to have been ongoing for many years as Gergatsoulis and Lilis maintain that the web lacks semantic information and it has proved challenging to process such a massive set of interconnected data as mentioned 18 years ago. 19 Clearly, online collections must be understood and used efficiently both by humans and machines, because machine-consumable content will end up in human-consumable content. 20…”
Section: Literature Reviewmentioning
confidence: 99%
“…Within the database community, extensive research has been conducted on two notions of time: valid time (when a change occurred in the real world) and transaction time (when a change was entered to the database) [22]. Various proposals adapting the notion of valid time have been made by the Linked Data community, such as temporal RDF graphs (temporal reification vocabulary) [16,15], multidimensional RDF (extended triple notion) [10], applied temporal RDF (named graphs) [43], stRDF (temporal quad) [25], RDF SpatialTemporalThematic (based on temporal graphs) [34], and temporal quintuples [26].…”
Section: Extensions Of Rdf(s)mentioning
confidence: 99%