Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Endris, Kemele"'
Data in the energy domain grows at unprecedented rates. Despite the great potential that IoT platforms and other big data-driven technologies have brought in the energy sector, data exchange and data integration are still not wholly achieved. As a re
Externí odkaz:
http://arxiv.org/abs/2107.06999
Data in the energy domain grows at unprecedented rates and is usually generated by heterogeneous energy systems. Despite the great potential that big data-driven technologies can bring to the energy sector, general adoption is still lagging. Several
Externí odkaz:
http://arxiv.org/abs/2107.01965
Linking Data initiatives have fostered the publication of large number of RDF datasets in the Linked Open Data (LOD) cloud, as well as the development of query processing infrastructures to access these data in a federated fashion. However, different
Externí odkaz:
http://arxiv.org/abs/1601.05270
Autor:
Shekarpour, Saeedeh, Lukovnikov, Denis, Kumar, Ashwini Jaya, Endris, Kemele, Singh, Kuldeep, Thakkar, Harsh, Lange, Christoph
Question Answering (QA) systems are becoming the inspiring model for the future of search engines. While recently, underlying datasets for QA systems have been promoted from unstructured datasets to structured datasets with highly semantic-enriched m
Externí odkaz:
http://arxiv.org/abs/1601.03541
Many LOD datasets, such as DBpedia and LinkedGeoData, are voluminous and process large amounts of requests from diverse applications. Many data products and services rely on full or partial local LOD replications to ensure faster querying and process
Externí odkaz:
http://arxiv.org/abs/1505.07130
Data in the energy domain grows at unprecedented rates. Despite the great potential that IoT platforms and other big data-driven technologies have brought in the energy sector, data exchange and data integration are still not wholly achieved. As a re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b7670f735a2e62e9f7e6b1595e58029
Autor:
Kaffee, Lucie-Aimee, Endris, Kemele M., Vidal, Maria-Esther, Comerio, Marco, Sadeghi, Mersedeh, Chaves-Fraga, David, Colpaert Pieter
This volumne presents the proceedings of the 1st International Workshop on Approaches for Making Data Interoperable (AMAR 2019) and 1st International Workshop on Semantics for Transport (Sem4Tra) held in Karlsruhe, Germany, September 9, 2019, co-loca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a18e336dd262617747e956f4a3c60ed6
Autor:
Endris, Kemele M., Giménez-Garcıa, José-M., Thakkar, Harsh, Demidova, Elena, Lange, Christoph, Zimmermann, Antoine
Following the Linked Data principles means maximising thereusability of data over the Web. A strong reason for reusing a dataset isthat it is considered useful for some application. Considering the broaddefinition of data quality as \fitness for use"
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______212::3bed783675c6411cac86b671fbdbc291
https://hal-emse.ccsd.cnrs.fr/emse-01317206
https://hal-emse.ccsd.cnrs.fr/emse-01317206
Publikováno v:
Datenbank-Spektrum; Jul2019, Vol. 19 Issue 2, p95-106, 12p
Publikováno v:
HAL
Semantic Web Collaborative Spaces Workshop 2014 (SWCS 2014), co-located with the 13th International Semantic Web Conference (ISWC 2014)
Semantic Web Collaborative Spaces Workshop 2014 (SWCS 2014), co-located with the 13th International Semantic Web Conference (ISWC 2014), Oct 2014, Riva del Garda, Italy
Semantic Web Collaborative Spaces Workshop 2014 (SWCS 2014), co-located with the 13th International Semantic Web Conference (ISWC 2014)
Semantic Web Collaborative Spaces Workshop 2014 (SWCS 2014), co-located with the 13th International Semantic Web Conference (ISWC 2014), Oct 2014, Riva del Garda, Italy
International audience; In this paper, we present an approach to explain SPARQL query results for Linked Data using why-provenance. We present a non-annotation-based algorithm to generate why-provenance and show its feasibility for Linked Data. We pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db372b3165bbaaaf95bbf615e65be056