Abstract
Many projects have already analyzed the current limitations and challenges on the integration of the Linked Open Data (LOD) cloud in mobile augmented reality (MAR) applications for cultural heritage, and underline the future directions and capabilities. The majority of the above works relies on the detected geo-location of the user or his device by various sensors (GPS – global positioning system, accelerometer, camera, etc.) or geo-based linked data, while others use marker-based techniques to link various locations with labels and descriptions of specific geodata. But when it comes to indoor environments (museums, libraries) where tracking the accurate user’s position and orientation is challenging due to the lack of GPS valid sensor data, complex and costly technological systems need to be implemented for identifying user’s OoI (Object of Interest). This paper describes a concept which is based on image identification and matching between frames from the user’s camera and stored images from the Europeana platform, that can link the LOD cloud from cultural institutes around Europe and mobile augmented reality applications in cultural heritage without the need of the accurate user’s location, and discusses the challenges and future directions of this approach.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Vert, S., Vasiu, R.: Integrating linked open data in mobile augmented reality applications-a case study. TEM J. 4(1), 35–43 (2015)
Aydin, B., et al.: Extending augmented reality mobile application with structured knowledge from the LOD cloud. In: IMMoA (2013)
Bizer, C., Heath, T., Berners-Lee, T.: Linked data-the story so far. In: Semantic Services, Interoperability and Web Applications: Emerging Concepts, pp. 205–227 (2009)
Shadbolt, N., Berners-Lee, T., Hall, W.: The semantic web revisited. IEEE Intell. Syst. 21(3), 96–101 (2006)
Marden, J., et al.: Linked open data for cultural heritage: evolution of an information technology. In: Proceedings of the 31st ACM International Conference on Design of Communication. ACM (2013)
van Aart, C., Wielinga, B., van Hage, W.R.: Mobile cultural heritage guide: location-aware semantic search. In: Cimiano, P., Pinto, H.S. (eds.) EKAW 2010. LNCS (LNAI), vol. 6317, pp. 257–271. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-16438-5_18
Bettadapura, V., Essa, I., Pantofaru, C.: Egocentric field-of-view localization using first-person point-of-view devices. In: 2015 IEEE Winter Conference on Applications of Computer Vision (WACV), pp. 626–633. IEEE (2015)
Chen, K.W., Wang, C.H., Wei, X., Liang, Q., Yang, M.H., Chen, C.S., Hung, Y.P.: To Know Where We Are: Vision-Based Positioning in Outdoor Environments. arXiv preprint arXiv:1506.05870 (2015)
Kalman, R.E.: A new approach to linear filtering and prediction problems. J. Basic Eng. 82(1), 35–45 (1960)
Hegde, V., et al.: Utilising linked data for personalized recommendation of POI’s. International AR Standards Meeting, Barcelona, Spain (2011)
Vert, S., Vasiu, R.: Integrating linked data in mobile augmented reality applications. In: Dregvaite, G., Damasevicius, R. (eds.) ICIST 2014. CCIS, vol. 465, pp. 324–333. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-11958-8_26
Reynolds, V., et al.: Exploiting linked open data for mobile augmented reality. In: W3C Workshop: Augmented Reality on the Web, vol. 1, June 2010
Abele, A., McCrae, J.P., Buitelaar, P., Jentzsch, A., Cyganiak, R.: Linking Open Data Cloud Diagram (2017). http://lod-cloud.net/
Vert, S., Vasiu, R.: Relevant aspects for the integration of linked data in mobile augmented reality applications for tourism. In: Dregvaite, G., Damasevicius, R. (eds.) ICIST 2014. CCIS, vol. 465, pp. 334–345. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-11958-8_27
Khoury, H.M., Kamat, V.R.: Evaluation of position tracking technologies for user localization in indoor construction environments. Autom. Constr. 18(4), 444–457 (2009)
Ta, V.-C., et al.: Smartphone-based user location tracking in indoor environment. In: 2016 International Conference on Indoor Positioning and Indoor Navigation (IPIN). IEEE (2016)
Tesoriero, R., et al.: Using active and passive RFID technology to support indoor location-aware systems. IEEE Trans. Consum. Electron. 54(2) (2008)
Oosterlinck, D., et al.: Bluetooth tracking of humans in an indoor environment: an application to shopping mall visits. Appl. Geogr. 78, 55–65 (2017)
Michalakis, K., Aliprantis, J., Caridakis, G.: Intelligent visual interface with the internet of things. In: Proceedings of the 2017 ACM Workshop on Interacting with Smart Objects. ACM (2017)
Chen, S., Li, M., Ren, K.: The power of indoor crowd: indoor 3D maps from the crowd. In: 2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). IEEE (2014)
Haslhofer, B., Isaac, A.: data.europeana.eu: The Europeana linked open data pilot. In: International Conference on Dublin Core and Metadata Applications (2011)
Mikolajczyk, K., Schmid, C.: Indexing based on scale invariant interest points. In: Proceedings of the Eighth IEEE International Conference on Computer Vision, ICCV 2001, vol. 1. IEEE (2001)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG, part of Springer Nature
About this chapter
Cite this chapter
Aliprantis, J., Kalatha, E., Konstantakis, M., Michalakis, K., Caridakis, G. (2018). Linked Open Data as Universal Markers for Mobile Augmented Reality Applications in Cultural Heritage. In: Ioannides, M. (eds) Digital Cultural Heritage. Lecture Notes in Computer Science(), vol 10605. Springer, Cham. https://doi.org/10.1007/978-3-319-75826-8_7
Download citation
DOI: https://doi.org/10.1007/978-3-319-75826-8_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-75825-1
Online ISBN: 978-3-319-75826-8
eBook Packages: Computer ScienceComputer Science (R0)