Smart Museum Tour using Linked Open Data

Linked Open Data is structured data on the web that is published and shared from various sources. Related data is connected using web standards such as URIs and RDF. The current linked open data cloud comprises billions of triples. With the availability of various open data sets, a number of innovative and interesting applications are possible. This paper focuses on using data integration techniques and ontology engineering for linked data generation that can be used for the creation of a smart museum tour. The Smithsonian American Art Museum has a vivid collection of American artworks. The data about all artworks and sculptures and their location in the museum is published as Linked Open Data. This paper presents a linked data generation approach for a smart museum tour application that uses the user’s location as input and displays information about all the nearby artworks and additional connected and related information from a linked open data set about an artwork chosen.

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Author and article information

Contributors

Somesh Siddabasappa

Suyog Somesh Halikar

Ravikanth Dodda

Nikhil Hiremath

Srividya Bansal

Conference

Publication date (Print): July 2022

Pages: 1-8

Affiliations

[0001]School of Computing and Augmented Intelligence

Arizona State University, Mesa, AZ, USA

Article

DOI: 10.14236/ewic/ODAK22.6

SO-VID: c399e718-afa9-4739-b835-5a3ffc2f5cd8

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This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: Proceedings of the Symposium on Open Data and Knowledge for a Post-Pandemic Era ODAK22, UK

Conference acronym: ODAK 2022

Conference number:

Conference location: Brighton, UK

Conference date: June 30-July 1, 2022

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: Open Data and Knowledge for a Post-Pandemic Era

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1477-9358 BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/ODAK22.6

Self URI (journal page): https://ewic.bcs.org/

REFERENCES

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F MatsumuraI KobayashiF KatoT KamuraI OhmukaiH Takeda Producing and Consuming Linked Open Data on Art with a Local Community Proceedings of the Third International Workshop on Consuming Linked Data (COLD2012) CEUR Workshop Proceedings (2012)
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M DragoniS TonelliG Moretti A Knowledge Management Architecture for Digital Cultural Heritage ACM Journal on Computing and Cultural Heritage 10 3 15:1-15:18 2017
M DragoniE CabrioS TonelliS Villata Enriching a Small Artwork Collection Through Semantic Linking Extended Semantic Web Conference (ESWC) 724 740 2016

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Comment on this article

[1] B HaslhoferA Isaac data.europeana.eu - The Europeana Linked Open Data Pilot Multiple values selected The Hague, The Netherlands Jul 2011

[2] V BoerJ WielemakerJ GentM HildebrandA IsaacJ OssenbruggenG Schreiber Supporting Linked Data Production for Cultural Heritage Institutes: The Amsterdam Museum Case Study E SimperlP CimianoA PolleresO CorchoV Presutti Lecture Notes in Computer Science 733 747 Springer Berlin Heidelberg 2012

[3] F MatsumuraI KobayashiF KatoT KamuraI OhmukaiH Takeda Producing and Consuming Linked Open Data on Art with a Local Community Proceedings of the Third International Workshop on Consuming Linked Data (COLD2012) CEUR Workshop Proceedings (2012)

[4] P SzekelyC. A KnoblockF YangX ZhuE. E FinkR AllenG Goodlander 2013 May Connecting the Smithsonian American Art museum to the linked data cloud In Extended Semantic Web Conference 593 607 Springer, Berlin, Heidelberg

[5] Florentine Renaissance Drawings: A Linked Catalog for the Semantic Web by L Klic, J Nelson, A Provo in Journal of Art Libraries Society of North America 2018

[6] Bernard Berenson The Drawings of the Florentine Painters: Classified, Criticised and Studied as Documents in the History and Appreciation of Tuscan Art, with a Copious Catalogue Raisonné London John Murray 1903

[7] Lessons Learned in Building Linked Data for the American Art Collaborative by CA Knoblock, P Szekely, etal in Intl. Semantic Web Conference 2017

[8] D OldmanD Tanase 2018 Reshaping the Knowledge Graph by Connecting Researchers Data and Practices in ResearchSpace 11137 325 340

[9] C.A KnoblockP SzekelyJ.L AmbiteA GoelS GuptaK LermanM MusleaM TaheriyanP Mallick Semi-automatically mapping structured sources into the semantic web Semantic Web Springer 2012 375 390

[10] M TaheriyanC.A KnoblockP SzekelyJ.L Ambite Learning the semantics of structured data sources Journal of Web Semantics 37 C 2016

[11] J VolzC BizerM GaedkeG Kobilarov Silk: a link discovery framework for the web of data Proceedings of the 2nd Linked Data on the Web 2009

[12] C BizerT HeathT Berners-Lee Linked data-the story so far International journal on semantic web and information systems 5 3 1 22 2009

[13] S. K BansalS Kagemann Integrating Big Data: A Semantic Extract-Transform-Load Framework Computer 48 3 42 50 Mar 2015 [Cross Ref]

[14] ResearchSpace Website: http://github.com/researchspace/

[15] Deduplication library Website: https://github.com/dedupeio/dedupe

[16] SAAM LOD Website: https://github.com/uscisi-i2/saam-lod/wiki

[17] OpenRefine Website: https://openrefine.org/

[18] Apache Fuseki Server Website: https://jena.apache.org/documentation/fuseki2/index.html

[19] Protege OWL editor Website: https://protege.stanford.edu/

[20] React JS Website: https://reactjs.org/

[21] M DragoniS TonelliG Moretti A Knowledge Management Architecture for Digital Cultural Heritage ACM Journal on Computing and Cultural Heritage 10 3 15:1-15:18 2017

[22] M DragoniE CabrioS TonelliS Villata Enriching a Small Artwork Collection Through Semantic Linking Extended Semantic Web Conference (ESWC) 724 740 2016

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