demonstration

Easy access to the freebase dataset

Authors:

Hannah Bast,

Florian Bäurle,

Björn Buchhold,

Elmar HaußmannAuthors Info & Claims

WWW '14 Companion: Proceedings of the 23rd International Conference on World Wide Web

Pages 95 - 98

https://doi.org/10.1145/2567948.2577016

Published: 07 April 2014 Publication History

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Abstract

We demonstrate a system for fast and intuitive exploration of the Freebase dataset. This required solving several non-trivial problems, including: entity scores for proper ranking and name disambiguation, a unique meaningful name for every entity and every type, extraction of canonical binary relations from multi-way relations (which in Freebase are modeled via so-called mediator objects), computing the transitive hull of selected relations, and identifying and merging duplicates. Our contribution is two-fold. First, we provide for download an up-to-date version of the Freebase data, enriched and simplified as just sketched. Second, we offer a user interface for exploring and searching this data set. The data set, the user interface and a demo video are available from http://freebase-easy.cs.uni-freiburg.de.

References

[1]

H. Bast and B. Buchhold. An index for efficient semantic full-text search. In CIKM, pages 369--378, 2013.

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[2]

K. D. Bollacker, C. Evans, P. Paritosh, T. Sturge, and J. Taylor. Freebase: a collaboratively created graph database for structuring human knowledge. In SIGMOD, pages 1247--1250, 2008.

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[3]

E. Gabrilovich, M. Ringgaard, and A. Subramanya. FACC1: Freebase annotation of ClueWeb corpora, Version 1. (Release date 2013-06--26, Format version 1, Correction level 0).

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E. Kaufmann and A. Bernstein. How useful are natural language interfaces to the semantic web for casual end-users? In ISWC, pages 281--294, 2007.

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T. Neumann and G. Weikum. Scalable join processing on very large RDF graphs. In SIGMOD, pages 627--640, 2009.

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Ma ZLiu JXu BLv KGuo S(2024)A Multi-Hop Reasoning Knowledge Selection Module for Dialogue GenerationElectronics10.3390/electronics1316327513:16(3275)Online publication date: 19-Aug-2024
https://doi.org/10.3390/electronics13163275
Fan WLu PPang KJin RYu W(2024)Linking Entities across Relations and GraphsACM Transactions on Database Systems10.1145/363936349:1(1-50)Online publication date: 28-Feb-2024
https://dl.acm.org/doi/10.1145/3639363
Badrouni MKatar CInoubli W(2024)Large-scale knowledge graph representation learningKnowledge and Information Systems10.1007/s10115-024-02131-566:9(5479-5499)Online publication date: 29-May-2024
https://doi.org/10.1007/s10115-024-02131-5
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Index Terms

Easy access to the freebase dataset
1. Information systems

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Information & Contributors

Information

Published In

WWW '14 Companion: Proceedings of the 23rd International Conference on World Wide Web

April 2014

1396 pages

ISBN:9781450327459

DOI:10.1145/2567948

General Chair:
Chin-Wan Chung
Korea Advanced Institute of Science and Technology, Korea
,
Program Chairs:
Andrei Broder
Google Inc., USA
,
Kyuseok Shim
Seoul National University, Korea
,
Torsten Suel
New York University, USA

In-Cooperation

SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 April 2014

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Author Tags

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Demonstration

Conference

WWW '14

Sponsor:

IW3C2

WWW '14: 23rd International World Wide Web Conference

April 7 - 11, 2014

Seoul, Korea

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Ma ZLiu JXu BLv KGuo S(2024)A Multi-Hop Reasoning Knowledge Selection Module for Dialogue GenerationElectronics10.3390/electronics1316327513:16(3275)Online publication date: 19-Aug-2024
https://doi.org/10.3390/electronics13163275
Fan WLu PPang KJin RYu W(2024)Linking Entities across Relations and GraphsACM Transactions on Database Systems10.1145/363936349:1(1-50)Online publication date: 28-Feb-2024
https://dl.acm.org/doi/10.1145/3639363
Badrouni MKatar CInoubli W(2024)Large-scale knowledge graph representation learningKnowledge and Information Systems10.1007/s10115-024-02131-566:9(5479-5499)Online publication date: 29-May-2024
https://doi.org/10.1007/s10115-024-02131-5
Gupta KAhmad AGhosal TEkbal A(2024)SciND: a new triplet-based dataset for scientific novelty detection via knowledge graphsInternational Journal on Digital Libraries10.1007/s00799-023-00386-x25:4(639-659)Online publication date: 1-Dec-2024
https://dl.acm.org/doi/10.1007/s00799-023-00386-x
Wang HGuo BLiu JDing YYu Z(2023)Towards Informative and Diverse Dialogue Systems Over Hierarchical Crowd Intelligence Knowledge GraphACM Transactions on Knowledge Discovery from Data10.1145/358375817:7(1-25)Online publication date: 4-May-2023
https://dl.acm.org/doi/10.1145/3583758
Furumai KWang YShinohara MIkeda KYu YKato T(2023)Detecting Dialogue Hallucination Using Graph Neural Networks2023 International Conference on Machine Learning and Applications (ICMLA)10.1109/ICMLA58977.2023.00128(871-877)Online publication date: 15-Dec-2023
https://doi.org/10.1109/ICMLA58977.2023.00128
Li LWang QZhao BLi XZhou AWu H(2022)Pre-Training and Fine-Tuning with Next Sentence Prediction for Multimodal Entity LinkingElectronics10.3390/electronics1114213411:14(2134)Online publication date: 7-Jul-2022
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Bast HKalmbach JKlumpp TKramer FSchnelle NAl Hasan MXiong L(2022)Efficient and Effective SPARQL Autocompletion on Very Large Knowledge GraphsProceedings of the 31st ACM International Conference on Information & Knowledge Management10.1145/3511808.3557093(2893-2902)Online publication date: 17-Oct-2022
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Fan WGeng LJin RLu PTugay RYu W(2022)Linking Entities across Relations and Graphs2022 IEEE 38th International Conference on Data Engineering (ICDE)10.1109/ICDE53745.2022.00052(634-647)Online publication date: May-2022
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