Abstract
There are some efforts to inspire the viewers to buy something or visit somewhere when they are viewing such objects or places on the TV programs or web sites. It is required to link some specific services, which can be run on smartphones or tablets, to content on TV or a web site. However, simple combination of content and possible services still requires some operations taken by the viewers such as typing search words in the applications or the pages of the services. Such required actions may decline their motivations to use the services. Therefore, the authors propose the data model that allows to seek matching of an entity within content with various services, and to generate service launch information dynamically changed by combination of an entity and a service. The data model is based on combination of ontology class structure and reasoning. In this paper, effectiveness of the data model is shown by the prototype applications which call various web services to inspire viewers for subsequent actions in accordance with media content.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
- 2.
- 3.
- 4.
- 5.
- 6.
- 7.
- 8.
- 9.
- 10.
- 11.
References
Ur, B., Pak Yong Ho, M., Brawner, S., Lee, J., Mennicken, S., Picard, N., Schulze, D. and Littman, M.L.: Trigger-action programming in the wild: an analysis of 200,000 ifttt recipes. In: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, pp. 3227–3231. ACM (2016)
Coronado, M., Iglesias, C.A.: Task automation services: automation for the masses. IEEE Internet Comput. 20(1), 52–58 (2016). https://doi.org/10.1109/MIC.2015.73
Gu, T., Wang, X.H., Pung, H.K., Zhang, D.Q.: An ontology-based context model in intelligent environments. In: Proceedings of Communication Networks and Distributed Systems Modeling and Simulation Conference, vol. 2004, 270–275 (2004)
RodrÃguez, N.D., Lilius, J., Cuéllar, M.P., Calvo-Flores, M.D.: Extending semantic web tools for improving smart spaces interoperability and usability. In: Omatu, S., Neves, J., Rodriguez, J.M.C., Paz Santana, J.F., Gonzalez, S.R. (eds.) Distributed Computing and Artificial Intelligence. AISC, vol. 217, pp. 45–52. Springer, Cham (2013). https://doi.org/10.1007/978-3-319-00551-5_6
Coronado, M., Iglesias, C.A., Serrano, E.: EWE ontology specification (2015)
De Meester, B., Arndt, D., Bonte, P., Bhatti, J., Dereuddre, W., Verborgh, R., Ongenae, F., De Turck, F., Mannens, E., Van de Walle, R.: Event-driven rule-based reasoning using EYE. In: SSN-TC/OrdRing@ ISWC, pp. 75–86 (2015)
Muñoz, S., Llamas, A.F., Coronado, M., Iglesias, C.A.: Smart office automation based on semantic event-driven rules. In: Intelligent Environments Workshops (2016)
Ranasinghe, Y.S., Walpola, M.J.: Integrating Context-Awareness with reminder tools. In: 2016 Sixteenth International Conference on Advances in ICT for Emerging Regions (ICTer). IEEE (2016). https://doi.org/10.1109/ICTER.2016.7829921
Akbar, Z., GarcÃa, J.M., Toma, I., Fensel, D.: On using semantically-aware rules for efficient online communication. In: Bikakis, A., Fodor, P., Roman, D. (eds.) RuleML 2014. LNCS, vol. 8620, pp. 37–51. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-09870-8_3
OWL-S: Semantic Markup for Web Services. https://www.w3.org/Submission/2004/SUBM-OWL-S-20041122/
Kushniretska, I.: Semi-structured data dynamic integration mashup system. In: 2016 XIth International Scientific and Technical Conference Computer Sciences and Information Technologies (CSIT). IEEE (2016)
Yamaguchi, A., Kozaki, K., Lenz, K., Yamamoto, Y., Masuya, H., Kobayashi, N.: Data Acquisition by traversing class-class relationships over the linked open data. In: International Semantic Web Conference (Posters & Demos) (2016)
Ohmata, H., Takechi, M., Mitsuya, S.: Hybridcast: a new media experience by integration of broadcasting and broadband. In: 2013 Proceedings of ITU Kaleidoscope: Building Sustainable Communities (K-2013). IEEE (2013)
Malhotra, R.: Hybrid broadcast broadband TV: the way forward for connected TVs. IEEE Consum. Electron. Mag. 2(3), 10–16 (2013). https://doi.org/10.1109/MCE.2013.2251760
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Urakawa, M., Fujisawa, H. (2017). Data Structuring for Launching Web Services Triggered by Media Content. In: Wang, Z., Turhan, AY., Wang, K., Zhang, X. (eds) Semantic Technology. JIST 2017. Lecture Notes in Computer Science(), vol 10675. Springer, Cham. https://doi.org/10.1007/978-3-319-70682-5_2
Download citation
DOI: https://doi.org/10.1007/978-3-319-70682-5_2
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-70681-8
Online ISBN: 978-3-319-70682-5
eBook Packages: Computer ScienceComputer Science (R0)