Introducing Time into RDF
By Claudio Gutiérrez, Carlos A. Hurtado, Alejandro A. Vaisman. IEEE Transactions on Knowledge and Data Engineering, 2007
319 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Information Systems, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/f921d355da13890e1eb88815e0c70a1c3a8c17d7
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Fabian M. Suchanek
- Danh Le-Phuoc
- Manfred Hauswirth
- Minh Dao-Tran
- Josiane Xavier Parreira
- Johannes Hoffart
- Klaus Berberich
- S. Rudolph
In Information Systems
- S. Rudolph
- Nenad Stojanovic
- Gerard de Melo
- Fabian M. Suchanek
- Johannes Hoffart
- Manfred Hauswirth
- Gerhard Weikum
- Klaus Berberich
In Sociology and Political Science
Citations in the corpus
- YAGO2: A Spatially and Temporally Enhanced Knowledge Base from Wikipedia: Extended Abstract (2013, background): “[76] introduced a temporal semantics for RDF, coined Temporal RDF, where time is modeled as a label on RDF triples, giving each triple a validity time.”
- EP-SPARQL: a unified language for event processing and stream reasoning (2011, background): “The work in [12] introduces time as a new dimension in RDF graphs.”
- Knowledge Graphs (2020, unknown): “Some annotations model a particular contextual domain; for example, Temporal RDF [210]”
- YAGO2: exploring and querying world knowledge in time, space, context, and many languages (2011, background): “Categories and Subject Descriptors H.1 [Information Systems]: Models and Principles General Terms Algorithms Keywords Knowledge Base, Ontology, Temporal, Geo-Spatial, Textual, Multilingual”
- A Native and Adaptive Approach for Unified Processing of Linked Streams and Linked Data (2011, methodology): “Similar to RDF temporal [22], C-SPARQL, and SPARQLstream, we represent temporal aspects of the data as a timestamp label.”