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GENESIS - A generic RDF data access interface

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Standard

GENESIS - A generic RDF data access interface. / Ermilov, Timofey; Moussallem, Diego; Usbeck, Ricardo et al.
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

Ermilov, T, Moussallem, D, Usbeck, R & Ngomo, ACN 2017, GENESIS - A generic RDF data access interface. in A Sheth (ed.), Proceedings - 2017 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2017. Proceedings - 2017 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2017, Association for Computing Machinery, Inc, pp. 125-131, 16th IEEE/WIC/ACM International Conference on Web Intelligence, WI 2017, Leipzig, Saxony-Anhalt, Germany, 23.08.17. https://doi.org/10.1145/3106426.3106514

APA

Ermilov, T., Moussallem, D., Usbeck, R., & Ngomo, A. C. N. (2017). GENESIS - A generic RDF data access interface. In A. Sheth (Ed.), Proceedings - 2017 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2017 (pp. 125-131). (Proceedings - 2017 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2017). Association for Computing Machinery, Inc. https://doi.org/10.1145/3106426.3106514

Vancouver

Ermilov T, Moussallem D, Usbeck R, Ngomo ACN. GENESIS - A generic RDF data access interface. In Sheth A, editor, Proceedings - 2017 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2017. Association for Computing Machinery, Inc. 2017. p. 125-131. (Proceedings - 2017 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2017). doi: 10.1145/3106426.3106514

Bibtex

@inbook{d0fdfe7c6c8d4e398830195265812824,
title = "GENESIS - A generic RDF data access interface",
abstract = "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.",
keywords = "Knowledge extraction, Semantic user interface, Semantic web, Similarity, Summarization, Informatics, Business informatics",
author = "Timofey Ermilov and Diego Moussallem and Ricardo Usbeck and Ngomo, {Axel Cyrille Ngonga}",
note = "Publisher Copyright: {\textcopyright} 2017 ACM.; 16th IEEE/WIC/ACM International Conference on Web Intelligence, WI 2017 ; Conference date: 23-08-2017 Through 26-08-2017",
year = "2017",
month = aug,
day = "23",
doi = "10.1145/3106426.3106514",
language = "English",
isbn = "978-1-4503-4951-2",
series = "Proceedings - 2017 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2017",
publisher = "Association for Computing Machinery, Inc",
pages = "125--131",
editor = "Amit Sheth",
booktitle = "Proceedings - 2017 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2017",
address = "United States",

}

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 -

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Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Analyzing the Influence of Knowledge Graph Information on Relation Extraction

Möller, C. & Usbeck, R., 2025, The Semantic Web: 22nd European Semantic Web Conference, ESWC 2025 Portoroz, Slovenia, June 1–5, 2025 Proceedings, Part I. Curry, E., Acosta, M., Poveda-Villalón, M., van Erp, M., Ojo, A., Hose, K., Shimizu, C. & Lisena, P. (eds.). Cham: Springer Nature Switzerland AG, Vol. 1. p. 460-480 21 p. (Lecture Notes in Computer Science ; vol. 15718).

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Bridge-Generate: Scholarly Hybrid Question Answering

Taffa, T. A. & Usbeck, R., 23.05.2025, WWW Companion 2025 - Companion Proceedings of the ACM Web Conference 2025: Companion Proceedings of the ACM Web Conference 2025, April 28-May 2, 2025 Sydney, NSW, Australia. Long, G., Blumestein, M., Chang, Y., Lewin-Eytan, L., Huang, H. & Yom-Tov, E. (eds.). New York: Association for Computing Machinery, Inc, p. 1321-1325 5 p.

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

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Research output: Journal contributions › Other (editorial matter etc.) › Research

Knowledge Graph Question Answering and Large Language Models

Banerjee, D., Hu, N., Tan, Y., Min, D., Wu, Y., Usbeck, R. & Qi, G., 17.03.2025, Handbook on Neurosymbolic AI and Knowledge Graphs. Hitzler, P., Dalal, A., Mahdavinejad, M. S. & Norouzi, S. S. (eds.). IOS Press BV, p. 466-531 66 p. ( Frontiers in Artificial Intelligence and Applications; vol. 400).

Research output: Contributions to collected editions/works › Chapter

DOI

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