abstract

Interacting with Linked Data: A Survey from the SIGCHI Perspective

Authors:

Alessio De Santo,

Adrian HolzerAuthors Info & Claims

CHI EA '20: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems

Pages 1 - 12

https://doi.org/10.1145/3334480.3382909

Published: 25 April 2020 Publication History

Abstract

The Semantic Web can be defined as an extension of the current Web, in which data is given well-defined meaning, better-enabling computers and people to work together. Linked Data (LD) has been envisioned as an essential element for the Semantic Web, listing a set of best practices for publishing and connecting structured data on the Web. Enabling humans to interact with this data is a crucial and challenging step to bring the Semantic Web forward. In order to better understand how the Human-Computer Interaction community has contributed to this effort, this late-breaking work presents a review focusing on the ACM Special Interest Group on Computer-Human Interaction (SIGCHI) venues. Our findings show that despite LD being a topic of interest to a variety of stakeholders, there are missing possibilities for end-users to query, browse and visualize LD, underlying the need for further investigations.

References

[1]

Tarek Abid, Mohamed Ridda Laouar, Hafed Zarzour, and Mohamed Tarek Khadir. 2016. Smart cities based on web semantic technologies. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing Adjunct - UbiComp '16. 1303--1308.

Digital Library

[2]

Irfan Ali and Nosheen Fatima Warraich. 2018. Linked data initiatives in libraries and information centres: A systematic review. The Electronic Library (2018), 04--2018.

[3]

Carmelo Ardito, Giuseppe Desolda, Maristella Matera, and Maria F Costabile. 2016. Exploiting visual notations for data exploration: The EFESTO platform. In Proceedings of the Workshop on Advanced Visual Interfaces AVI, Vol. 07--10-June. 290--291.

Digital Library

[4]

Jorge Baier, Daroch Dietrich, Juan I. Reutter, and Domagoj Vrgoc. 2017. Evaluating navigational RDF queries over the Web. Engineering Letters 26, 2 (2017), 203--209.

Digital Library

[5]

Tim Berners-Lee, Wendy Hall, James A. Hendler, Kieron O'Hara, Nigel Shadbolt, and Daniel J. Weitzner. 2006. A framework for Web Science. Foundations and Trends in Web Science 1, 1 (2006), 1--130.

Digital Library

[6]

Tim Berners-Lee and Ralph Swick. 2000. Semantic Web. (2000). https://www.w3.org/2000/Talks/0516-sweb-tbl/all

[7]

Christian Bizer, Tom Heath, and Tim Berners-Lee. 2009. Linked Data - The Story So Far. International Journal on Semantic Web and Information Systems (IJSWIS) 5 (2009).

[8]

Grégoire Burel and Amparo E. Cano. 2010. Understanding web documents using semantic overlays. In International Conference on Intelligent User Interfaces, Proceedings IUI. 405--406.

Digital Library

[9]

Aba-Sah Dadzie and Matthew Rowe. 2011. Approaches to visualising linked data: A survey Journal Item. Technical Report.

[10]

Elizabeth M Daly, Freddy Lecue, and Veli Bicer. 2013. Westland Row Why So Slow - Fusing Social Media and Linked Data Sources for Understanding Real-Time Traffic Conditions. In IUI '13 Proceedings of the 2013 international conference on Intelligent user interfaces. 203--212.

Digital Library

[11]

Zolzaya Dashdorj, Fondazione Bruno, Kessler Dkm, Fondazione Bruno, Kessler Dkm, and Roberto Larcher. 2013. Semantic Enrichment of Mobile Phone Data Records. (2013).

[12]

Alessio De Angelis, Fabio Gasparetti, Alessandro Micarelli, and Giuseppe Sansonetti. 2017. A Social Cultural Recommender based on Linked Open Data. In Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization - UMAP '17. 329--332.

Digital Library

[13]

Duane Degler, Scott Henninger, and Lisa Battle. 2007. Semantic Web HCI: discussing research implications. Proceedings of ACM CHI 2007 Conference on Human Factors in Computing Systems 2 (2007), 1909--1912.

Digital Library

[14]

Ronald Denaux, Vania Dimitrova, Lydia Lau, Paul Brna, Dhaval Thakker, and Christina Steiner. 2014. Employing Linked Data and Dialogue for Modelling Cultural Awareness of a User. In Proceedings of the 19th international conference on Intelligent User Interfaces - IUI '14. 241--246.

Digital Library

[15]

Tommaso Di Noia, Roberto Mirizzi, Vito Claudio Ostuni, and Davide Romito. 2012. Exploiting the web of data in model-based recommender systems. In Proceedings of the sixth ACM conference on Recommender systems - RecSys '12. 253.

Digital Library

[16]

Chaohai Ding, Mike Wald, and Gary Wills. 2014. A Survey of Open Accessibility Data. In W4A '14: Proceedings of the 11th Web for All Conference. 37:1--37:4.

Digital Library

[17]

Chaohai Ding, Mike Wald, and Gary Wills. 2015. Linked data-driven decision support for accessible travelling. In Proceedings of the 12th Web for All Conference on - W4A '15. 1--2.

Digital Library

[18]

Bruno Dumas, Tim Broché, Lode Hoste, and Beat Signer. 2012. ViDaX: An interactive semantic data visualisation and exploration tool. In Proceedings of the International... 757--760.

Digital Library

[19]

Mathieu D'Aquin and Nicolas Jay. 2013. Interpreting data mining results with linked data for learning analytics: motivation, case study and direction. Third Conference on Learning Analytics and Knowledge (2013).

Digital Library

[20]

Danila Feitosa, DIego Dermeval, Thiago Ávila, Ig Ibert Bittencourt, Bernadette Farias Lóscio, and Seiji Isotani. 2018. A systematic review on the use of best practices for publishing linked data. Online Information Review 42, 1 (2018), 107--123.

[21]

Cristhian Figueroa, Iacopo Vagliano, Oscar Rodr'Rocha, and Maurizio Morisio. 2015. A systematic literature review of Linked Data-based recommender systems. Concurrency and Computation: Practice and Experience 27, 17 (2015), 4659--4684.

Digital Library

[22]

Andre Freitas and Edward Curry. 2014. Natural language queries over heterogeneous linked data graphs. In Proceedings of the 19th international conference on Intelligent User Interfaces - IUI '14. 279--288.

Digital Library

[23]

Florian Haag and Thomas Ertl. 2014. Filter Dials: Combine Filter Criteria, See How Much Data is Available. In Proceedings of the 2014 International Working Conference on Advanced Visual Interfaces. 369--370.

Digital Library

[24]

Florian Haag, Steffen Lohmann, Steffen Bold, and Thomas Ertl. 2014. Visual SPARQL Querying Based on Extended Filter / Flow Graphs Categories and Subject Descriptors. In Proceedings of the 2014 International Working Conference on Advanced Visual Interfaces. 305--312.

Digital Library

[25]

María Hallo, Sergio Luján-Mora, Alejandro Maté, and Juan Trujillo. 2016. Current state of Linked Data in digital libraries. Journal of Information Science 42, 2 (2016), 117--127.

Digital Library

[26]

Tatjana Jevsikova, Andrius Berniukeviius, and Eugenijus Kurilovas. 2017. Application of resource description framework to personalise learning: Systematic review and methodology. Informatics in Education 16, 1 (2017), 61--82.

[27]

Surya Kallumadi and William H Hsu. 2018. Interactive Recommendations by Combining User-Item Preferences with Linked Open Data. In Adjunct Publication of the 26th Conference on User Modeling, Adaptation and Personalization - UMAP '18. 121--125.

Digital Library

[28]

Ali Khalili and Sören Auer. 2013. User interfaces for semantic authoring of textual content: A systematic literature review. Journal of Web Semantics 22 (2013), 1--18.

Digital Library

[29]

Houda Khrouf and Raphaël Troncy. 2013. Hybrid event recommendation using linked data and user diversity. In Proceedings of the 7th ACM conference on Recommender systems - RecSys '13. 185--192.

Digital Library

[30]

Spyros Kotoulas, Vanessa Lopez, Marco Luca Sbodio, Martin Stephenson, Pierpaolo Tommasi, and Pol Mac Aonghusa. 2014a. A Linked Data Approach to Care Coordination. In Proceedings of the 25th ACM conference on Hypertext and social media - HT '14. 77--87.

Digital Library

[31]

Spyros Kotoulas, Vanessa Lopez, Marco Luca Sbodio, Pierpaolo Tommasi, Martin Stephenson, and Pol Mac Aonghusa. 2014b. Improving cross-domain information sharing in care coordination using semantic web technologies. In Proceedings of the 19th international conference on Intelligent User Interfaces IUI '14. 347--352.

Digital Library

[32]

Steffen Lohmann, Philipp Heim, Timo Stegemann, and Jürgen Ziegler. 2010. The RelFinder user interface: interactive exploration of relationships between objects of interest. In Proceedings of the 14th International Conference on Intelligent User Interfaces (IUI 2010). 421--422.

Digital Library

[33]

Vanessa Lopez Garcia, Martin Stephenson, Spyros Kotoulas, and Pierpaolo Tommasi. 2014. Finding mr and mrs entity in the city of knowledge. In Proceedings of the 25th ACM conference on Hypertext and social media - HT '14. 261--266.

Digital Library

[34]

Valentina Maccatrozzo, Manon Terstall, and Lora Aroyo. 2017. SIRUP : Serendipity In Recommendations via User Perceptions. (2017), 35--44.

Digital Library

[35]

m.c. Schraefel, Jennifer Golbeck, Duane Degler, Abraham Bernstein, and Lloyd Rutledge. 2008. Semantic web user interactions. 3929.

Digital Library

[36]

Cataldo Musto, Tiziano Franza, Giovanni Semeraro, Marco de Gemmis, and Pasquale Lops. 2018. Deep Content-based Recommender Systems Exploiting Recurrent Neural Networks and Linked Open Data. In Adjunct Publication of the 26th Conference on User Modeling, Adaptation and Personalization - UMAP '18. 239--244.

Digital Library

[37]

Cataldo Musto, Pasquale Lops, Pierpaolo Basile, Marco de Gemmis, and Giovanni Semeraro. 2016a. Semantics-aware Graph-based Recommender Systems Exploiting Linked Open Data. In Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization - UMAP '16. 229--237.

Digital Library

[38]

Cataldo Musto, Fedelucio Narducci, Pasquale Lops, Marco De Gemmis, and Giovanni Semeraro. 2016b. ExpLOD : A Framework for Explaining Recommendations based on the Linked Open Data Cloud. In Proceedings of the 10th ACM Conference on Recommender Systems - RecSys '16. 151--154.

Digital Library

[39]

Cataldo Musto, Giovanni Semeraro, Marco de Gemmis, and Pasquale Lops. 2017. A Hybrid Recommendation Framework Exploiting Linked Open Data and Graph-based Features. Umap (2017), 375--376.

[40]

Johan Oomen and Lora Aroyo. 2011. Crowdsourcing in the cultural heritage domain. In Proceedings of the 5th International Conference on Communities and Technologies - C&T '11. 138.

Digital Library

[41]

Vito Claudio Ostuni, Tommaso Di Noia, Roberto Mirizzi, and Eugenio Di Sciascio. 2014. Top-N recommendations from implicit feedback leveraging linked open data. In CEUR Workshop Proceedings, Vol. 1127. 20--27.

Digital Library

[42]

Enrico Palumbo and Giuseppe Rizzo. 2017. entity2rec : Learning User-Item Relatedness from Knowledge Graphs for Top-N entity2rec: Learning User-Item Relatedness from Knowledge Graphs for Top-N Item Recommendation. In Proceedings of the Eleventh ACM Conference on Recommender Systems - RecSys '17.

Digital Library

[43]

Heiko Paulheim. 2012. Explain-a-LOD : Using Linked Open Data for Interpreting Statistics. Proceedings of the 17th International Conference on Intelligent User Interfaces (2012), 2--3.

Digital Library

[44]

Heiko Paulheim and Lars Meyer. 2011. Ontology-based Information Visualization in Integrated UIs. In Proceedings of the 2011 International Conference on Intelligent User Interfaces (IUI). 451--452. http://portal.acm.org/citation.cfm?id=1943494

Digital Library

[45]

Tassilo Pellegrini. 2012. Semantic metadata in the news production process - Achievements and challenges. In 16th International Academic MindTrek Conference 2012: "Envisioning Future Media Environments", MindTrek 2012. 125--133.

[46]

Tassilo Pellegrini, Christian Dirschl, and Katja Eck. 2014. Linked Data Business Cube -- A systematic approach to Semantic Web business models. In Proceedings of the 18th International Academic MindTrek Conference on Media Business, Management, Content & Services Academic MindTrek '14. 132--141.

Digital Library

[47]

Guangyuan Piao and John G. Breslin. 2016. Analyzing Aggregated Semantics-enabled User Modeling on Google+ and Twitter for Personalized Link Recommendations. In Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization - UMAP '16. 105--109.

Digital Library

[48]

V A Pinto and F S Parreiras. 2014. Enterprise linked data: A systematic mapping study. 33rd International Conference on Conceptual Modeling, ER 2014 8823 (2014), 253--262.

[49]

Jeffrey Pomerantz. 2015. Metadata. MIT Press.

[50]

Qurat Ul Ain Saleem, Nadia Butt, and Nosheen Fatima Warriach. 2018. Applications of linked data technologies in libraries: Technical and ethical considerations. 2018 International Conference on Information Management and Processing, ICIMP 2018 2018-Janua (2018), 11--15.

[51]

Jaakko Salonen, Jukka Huhtamäki, and Ossi Nykänen. 2013. Challenges in Heterogeneous Web Data Analytics - Case Finnish Growth Companies in Social Media. In 17th International Academic MindTrek Conference 2013: "Making Sense of Converging Media", October 1--3, Tampere, Finland. 131--138.

Digital Library

[52]

Ricky J. Sethi. 2017. Crowdsourcing the Verification of Fake News and Alternative Facts. In Proceedings of the 28th ACM Conference on Hypertext and Social Media, Vol. 60. 3361--3369.

Digital Library

[53]

Anselm Strauss and Juliet Corbin. 1990. Basics of qualitative research. Sage publications.

[54]

Anselm L Strauss. 1987. Qualitative analysis for social scientists. Cambridge university press.

[55]

J. Subercaze and C. Gravier. 2014. FoP: Never-ending face recognition and data lifting. In HT 2014 Proceedings of the 25th ACM Conference on Hypertext and Social Media. 321--323.

Digital Library

[56]

Michelle Tew, Kim M. Dalziel, Dennis J. Petrie, and Philip M. Clarke. 2017. Growth of linked hospital data use in Australia: A systematic review. Australian Health Review 41, 4 (8 2017), 394.

[57]

Andreas Thalhammer, Steffen Thoma, Andreas Harth, and Rudi Studer. 2017. Entity-centric Data Fusion on the Web. In Proceedings of the 28th ACM Conference on Hypertext and Social Media - HT '17. 25--34.

Digital Library

[58]

Ilaria Torre and Ilknur Celik. 2015. User-Adapted Web of Things for Accessibility. In Proceedings of the 26th ACM Conference on Hypertext & Social Media - HT '15. 341--344.

Digital Library

[59]

Markel Vigo, Caroline Jay, and Robert Stevens. 2014. Design insights for the next wave ontology authoring tools. In Proceedings of the 32nd annual ACM conference on Human factors in computing systems CHI '14. 1555--1558.

Digital Library

[60]

Markel Vigo, Caroline Jay, and Robert Stevens. 2015. Constructing Conceptual Knowledge Artefacts. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems - CHI '15. 3385--3394.

Digital Library

[61]

Gemma Webster, David E Beel, Chris Mellish, Claire D Wallace, and Jeff Pan. 2015. CURIOS : Connecting Community Heritage through Linked Data. In In Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing. 639--648.

Digital Library

Cited By

Mussa ORana OGoossens BOrozco Ter wengel PPerera C(2024)ForestQB: Enhancing Linked Data Exploration through Graphical and Conversational UIs IntegrationACM Journal on Computing and Sustainable Societies10.1145/36757592:3(1-33)Online publication date: 16-Sep-2024
https://dl.acm.org/doi/10.1145/3675759
Xia SAnzum NSalihoglu SZhao JKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)KTabulator: Interactive Ad hoc Table Creation using Knowledge GraphsProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445227(1-14)Online publication date: 6-May-2021
https://dl.acm.org/doi/10.1145/3411764.3445227

Index Terms

Interacting with Linked Data: A Survey from the SIGCHI Perspective
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Empirical studies in HCI
    2. Interaction techniques

Recommendations

Linked data on the web (LDOW2008)
WWW '08: Proceedings of the 17th international conference on World Wide Web

The Web is increasingly understood as a global information space consisting not just of linked documents, but also of Linked Data. More than just a vision, the resulting Web of Data has been brought into being by the maturing of the Semantic Web ...
Using the relation ontology Metarel for modelling Linked Data as multi-digraphs
Linked Data for Health Care and the Life Sciences

The Semantic Web standards OWL and RDF are often used to represent biomedical information as Linked Data; however, the OWL/RDF syntax, which combines both, was never optimised for querying. By combining two formal paradigms for modelling Linked Data, ...
4th linked data on the web workshop (LDOW2011)
WWW '11: Proceedings of the 20th international conference companion on World wide web

The Web has developed into a global information space consisting not just of linked documents, but also of Linked Data. In 2010, we have seen significant growth in the size of the Web of Data, as well as in the number of communities contributing to its ...

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences

CHI EA '20: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems

April 2020

4474 pages

ISBN:9781450368193

DOI:10.1145/3334480

General Chairs:
Regina Bernhaupt
Eindhoven University of Technology, Netherlands
,
Florian 'Floyd' Mueller
Monash University, Australia
,
David Verweij
Newcastle University, UK
,
Josh Andres
RMIT, Australia
,
Program Chairs:
Joanna McGrenere
University of British Columbia, Canada
,
Andy Cockburn
University of Canterbury, New Zealand
,
Ignacio Avellino
University of Maryland Baltimore County, USA
,
Alix Goguey
Grenoble Alpes University, France
,
Pernille Bjørn
University of Copenhagen, Denmark
,
Shengdong (Shen) Zhao
National University of Singapore, Singapore
,
Briane Paul Samson
Future University Hakodate, Japan & De La Salle University, Philippines
,
Rafal Kocielnik
University of Washington, USA

Copyright © 2020 Owner/Author.

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Sponsors

SIGCHI: ACM Special Interest Group on Computer-Human Interaction

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 April 2020

Check for updates

Author Tags

Qualifiers

Abstract

Conference

CHI '20

Sponsor:

SIGCHI

CHI '20: CHI Conference on Human Factors in Computing Systems

April 25 - 30, 2020

HI, Honolulu, USA

Acceptance Rates

Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

Upcoming Conference

CHI 2025

Sponsor:
sigchi

ACM CHI Conference on Human Factors in Computing Systems

April 26 - May 1, 2025

Yokohama , Japan

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

2
Total Citations
View Citations
241
Total Downloads

Downloads (Last 12 months)32
Downloads (Last 6 weeks)2

Reflects downloads up to 25 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

Mussa ORana OGoossens BOrozco Ter wengel PPerera C(2024)ForestQB: Enhancing Linked Data Exploration through Graphical and Conversational UIs IntegrationACM Journal on Computing and Sustainable Societies10.1145/36757592:3(1-33)Online publication date: 16-Sep-2024
https://dl.acm.org/doi/10.1145/3675759
Xia SAnzum NSalihoglu SZhao JKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)KTabulator: Interactive Ad hoc Table Creation using Knowledge GraphsProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445227(1-14)Online publication date: 6-May-2021
https://dl.acm.org/doi/10.1145/3411764.3445227

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

HTML Format

View this article in HTML Format.

Media

Figures

Other

Tables

View Table of Contents