GENESIS - A generic RDF data access interface
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Standard
Proceedings - 2017 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2017. ed. / Amit Sheth. Association for Computing Machinery, Inc, 2017. p. 125-131 (Proceedings - 2017 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2017).
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Harvard
APA
Vancouver
Bibtex
}
RIS
TY - CHAP
T1 - GENESIS - A generic RDF data access interface
AU - Ermilov, Timofey
AU - Moussallem, Diego
AU - Usbeck, Ricardo
AU - Ngomo, Axel Cyrille Ngonga
N1 - Publisher Copyright: © 2017 ACM.
PY - 2017/8/23
Y1 - 2017/8/23
N2 - The availability of billions of facts represented in RDF on the Web provides novel opportunities for data discovery and access. In particular, keyword search and question answering approaches enable even lay people to access this data. However, the interpretation of the results of these systems, as well as the navigation through these results, remains challenging. In this paper, we present Genesis, a generic RDF data access interface. Genesis can be deployed on top of any knowledge base and search engine with minimal effort and allows for the representation of RDF data in a layperson-friendly way. This is facilitated by the modular architecture for reusable components underlying our framework. Currently, these include a generic search back-end, together with corresponding interactive user interface components based on a service for similar and related entities as well as verbalization services to bridge between RDF and natural language.
AB - The availability of billions of facts represented in RDF on the Web provides novel opportunities for data discovery and access. In particular, keyword search and question answering approaches enable even lay people to access this data. However, the interpretation of the results of these systems, as well as the navigation through these results, remains challenging. In this paper, we present Genesis, a generic RDF data access interface. Genesis can be deployed on top of any knowledge base and search engine with minimal effort and allows for the representation of RDF data in a layperson-friendly way. This is facilitated by the modular architecture for reusable components underlying our framework. Currently, these include a generic search back-end, together with corresponding interactive user interface components based on a service for similar and related entities as well as verbalization services to bridge between RDF and natural language.
KW - Knowledge extraction
KW - Semantic user interface
KW - Semantic web
KW - Similarity
KW - Summarization
KW - Informatics
KW - Business informatics
UR - http://www.scopus.com/inward/record.url?scp=85030992493&partnerID=8YFLogxK
U2 - 10.1145/3106426.3106514
DO - 10.1145/3106426.3106514
M3 - Article in conference proceedings
AN - SCOPUS:85030992493
SN - 978-1-4503-4951-2
T3 - Proceedings - 2017 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2017
SP - 125
EP - 131
BT - Proceedings - 2017 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2017
A2 - Sheth, Amit
PB - Association for Computing Machinery, Inc
T2 - 16th IEEE/WIC/ACM International Conference on Web Intelligence, WI 2017
Y2 - 23 August 2017 through 26 August 2017
ER -