EP-SPARQL: a unified language for event processing and stream reasoning

By Darko Anicic, Paul Fodor, S. Rudolph, Nenad Stojanovic. The Web Conference, 2011

428 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Signal Processing

View Paper: https://www.semanticscholar.org/paper/95b75baaf259fa0ad83c0c27e0c74d4210ec7481

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Minh Dao-Tran
2. Schahram Dustdar
3. Quan Z. Sheng
4. Manfred Hauswirth
5. Athanasios V. Vasilakos
6. Danh Le-Phuoc
7. Josiane Xavier Parreira
8. Yongrui Qin

In Computer Networks and Communications

1. Yongrui Qin
2. Minh Dao-Tran
3. Schahram Dustdar
4. Quan Z. Sheng
5. Manfred Hauswirth
6. Athanasios V. Vasilakos
7. Danh Le-Phuoc
8. Josiane Xavier Parreira

In Signal Processing

1. Minh Dao-Tran
2. Manfred Hauswirth
3. Athanasios V. Vasilakos
4. Danh Le-Phuoc
5. Josiane Xavier Parreira
6. Yongrui Qin

Citations in the corpus

• When things matter: A survey on data-centric internet of things (2016, methodology): “(Calbimonte et al., 2010) No Limited Limited Limited C-SPARQL (Barbieri et al., 2010) No Rich Limited Limited EP-SPARQL (Anicic et al., 2011) No Limited Rich Limited CQELS (Phuoc et al., 2011) Yes Limited Limited Limited Early database systems for sensor networks such as TinyDB and Cougar only act…”
• The Internet of Things: A Survey from the Data-Centric Perspective (2013, neutral): “SPARQLstream [89] is an extension of SPARQL that facilitates querying over RDF streams.”
• A Native and Adaptive Approach for Unified Processing of Linked Streams and Linked Data (2011, methodology): “Existing work with this focus comprises Streaming SPARQL [11], C-SPARQL [9], SPARQLstream [14], and EP-SPARQL [3] as the main approaches.”