research-article

Entity-centric Data Fusion on the Web

Authors:

Andreas Thalhammer,

Rudi StuderAuthors Info & Claims

HT '17: Proceedings of the 28th ACM Conference on Hypertext and Social Media

Pages 25 - 34

https://doi.org/10.1145/3078714.3078717

Published: 04 July 2017 Publication History

Abstract

A lot of current web pages include structured data which can directly be processed and used. Search engines, in particular, gather that structured data and provide question answering capabilities over the integrated data with an entity-centric presentation of the results. Due to the decentralized nature of the web, multiple structured data sources can provide similar information about an entity. But data from different sources may involve different vocabularies and modeling granularities, which makes integration difficult. We present an approach that identifies similar entity-specific data across sources, independent of the vocabulary and data modeling choices. We apply our method along the scenario of a trustable knowledge panel, conduct experiments in which we identify and process entity data from web sources, and compare the output to a competing system. The results underline the advantages of the presented entity-centric data fusion approach.

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Cited By

Wu WShi LXiao JZhang C(2021)The Method of User Information Fusion Oriented to Manufacturing Service Value NetHuman Centered Computing10.1007/978-3-030-70626-5_7(68-74)Online publication date: 12-Mar-2021
https://doi.org/10.1007/978-3-030-70626-5_7
De Santo AHolzer ABernhaupt RMueller FVerweij DAndres JMcGrenere JCockburn AAvellino IGoguey ABjørn PZhao SSamson BKocielnik R(2020)Interacting with Linked Data: A Survey from the SIGCHI PerspectiveExtended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3334480.3382909(1-12)Online publication date: 25-Apr-2020
https://dl.acm.org/doi/10.1145/3334480.3382909
Thoma SThalhammer AHarth AStuder R(2019)FusEACM Transactions on the Web10.1145/330612813:2(1-36)Online publication date: 17-Feb-2019
https://dl.acm.org/doi/10.1145/3306128
Show More Cited By

Index Terms

Entity-centric Data Fusion on the Web
1. Information systems
  1. World Wide Web
    1. Web data description languages
      1. Semantic web description languages
        Resource Description Framework (RDF)
    2. Web mining
      1. Data extraction and integration

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Published In

cover image ACM Conferences

HT '17: Proceedings of the 28th ACM Conference on Hypertext and Social Media

July 2017

336 pages

ISBN:9781450347082

DOI:10.1145/3078714

General Chairs:
Peter Dolog
Aalborg University, Denmark
,
Peter Vojtas
Charles University, Prague, Czech Republic
,
Program Chairs:
Francesco Bonchi
ISI Foundation, Turin, Italy
,
Denis Helic
Graz University of Technology, Austria

Copyright © 2017 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 July 2017

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Research-article

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German Federal Ministry of Education and Research (BMBF) within the Software Campus project SumOn
Marie Curie International Research Staff Exchange Scheme (IRSES) of the European Union Seventh Framework Programme (FP7/2007- 2013)

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HT'17

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SIGWEB

HT'17: 28th Conference on Hypertext and Social Media

July 4 - 7, 2017

Prague, Czech Republic

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HT '17 Paper Acceptance Rate 19 of 69 submissions, 28%;

Overall Acceptance Rate 342 of 1,022 submissions, 33%

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Cited By

Wu WShi LXiao JZhang C(2021)The Method of User Information Fusion Oriented to Manufacturing Service Value NetHuman Centered Computing10.1007/978-3-030-70626-5_7(68-74)Online publication date: 12-Mar-2021
https://doi.org/10.1007/978-3-030-70626-5_7
De Santo AHolzer ABernhaupt RMueller FVerweij DAndres JMcGrenere JCockburn AAvellino IGoguey ABjørn PZhao SSamson BKocielnik R(2020)Interacting with Linked Data: A Survey from the SIGCHI PerspectiveExtended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3334480.3382909(1-12)Online publication date: 25-Apr-2020
https://dl.acm.org/doi/10.1145/3334480.3382909
Thoma SThalhammer AHarth AStuder R(2019)FusEACM Transactions on the Web10.1145/330612813:2(1-36)Online publication date: 17-Feb-2019
https://dl.acm.org/doi/10.1145/3306128
Nentwig MGroß AMöller MRahm E(2017)Distributed Holistic Clustering on Linked DataOn the Move to Meaningful Internet Systems. OTM 2017 Conferences10.1007/978-3-319-69459-7_25(371-382)Online publication date: 23-Oct-2017
https://dl.acm.org/doi/10.1007/978-3-319-69459-7_25

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