Abstract
We present Metamarket (http://metamarket.info), an ontology of user actions on the Web as a foundation for understanding user preferences from Web activities and its relations with the state of the art. Metamarket is implemented using the Web Ontology Language (OWL) and is the base of a platform offering Linked Data access for the purpose of market research allowing intelligent applications to enhance local business sales and make new business insights possible. Particularly, the use of user generated content, i.e., digital works in which data from one or more sources is combined and presented in innovative ways, is a great way to expose this value. Although there are many approaches to publishing and using consumer data, we believe Linked Data is a key solution of many of the challenges and can lower the cost and complexity of developing these applications. In addition, Metamarket can be used to develop intelligent UX applications, responsive to user needs, and it can be extended towards modeling emotions.
This work was supported by the Chair of Soil Protection and Recultivation of Brandenburg University of Technology Cottbus-Senftenberg and Binarypark UG.
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Notes
- 1.
Schema.org (sponsored by Google, Microsoft, Yahoo and Yandex) is a collaborative, community activity with a mission to create, maintain, and promote schemas for structured data on the Internet. The vocabulary, covering entities, relationships between entities and actions, is developed by an open community process and can be used with many different encodings, including RDFa, Microdata and JSON-LD. Many applications from Google, Microsoft, Pinterest, Yandex and others already use these vocabularies to power rich, extensible experiences. Binarypark provides http://getschema.org a mediawiki website with a lot of examples and best practices on how to use this vocabulary.
- 2.
See http://linkedevents.org/ontology/ for the latest specification.
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- 4.
References
Giurca, A., Baier, D., Schmitt, I.: What is in a like? Preference aggregation on the social web. Data Science, Learning by Latent Structures, and Knowledge Discovery, pp. 435–444. Springer, Berlin (2015)
Meditskos, G., Dasiopoulou, S., Efstathiou, V., Kompatsiaris, I.: Ontology patterns for complex activity modelling. In: International Workshop on Rules and Rule Markup Languages for the Semantic Web, pp. 144–157. Springer, Berlin (2013)
Suarez-Figueroa, M.C., Gomez-Perez, A.: Towards a glossary of activities in the ontology engineering field. In: Proceedings of the Sixth International Language Resources and Evaluation (LREC’08), Marrakech, Morocco, 28–30 May 2008
Dewabharata, A., Wen, D.M.H., Chou, S.Y.: An activity ontology for context-aware health promotion application. In: 2013 IEEE 37th Annual Computer Software and Applications Conference Workshops (COMPSACW), pp. 421–426. IEEE (2013)
Thakker, D., Denaux, R., Dimitrova, V.: Activity model ONtology (AMOn) (2011). http://imash.leeds.ac.uk/ontology/amon/
Ferreira, D.R., Alves, S., Thom, L.H.: Ontology-based discovery of workflow activity patterns. In: International Conference on Business Process Management, pp. 314–325. Springer, Berlin (2011)
Gruninger, M., Katsumi, M.: An activity-based ontology for dates. In: 2015 AAAI Spring Symposium Series (2015)
Chen, L., Nugent, C.: Ontology-based activity recognition in intelligent pervasive environments. Int. J. Web Inf. Syst. 5(4), 410–430 (2009)
Abdalla, A., Hu, Y., Carral, D., Li, N., Janowicz, K.: An ontology design pattern for activity reasoning. In: Proceedings of the 5th International Conference on Ontology and Semantic Web Patterns, vol. 1302, pp. 78–81 (2014). http://CEUR-WS.org
Konstantinos, A., Ioannis, R.: Activity ontologies for intelligent calendar applications. In: Proceedings of the 7th Balkan Conference on Informatics Conference, p. 17. ACM (2015)
Troncy, R., Malocha, B., Fialho, A.T.: Linking events with media. In: Proceedings of the 6th International Conference on Semantic Systems, p. 42. ACM (2010). Ontology available at http://linkedevents.org/ontology/
Riboni, D., Bettini, C.: OWL 2 modeling and reasoning with complex human activities. Pervasive Mob. Comput. 7(3), 379–395 (2011)
Morgenstern, L., Riecken, D.: SNAP: an action-based ontology for e-commerce reasoning. In: Formal Ontologies Meet Industry, Proceedings of the 1st International Workshop FOMI (2005). http://www-formal.stanford.edu/leora/snap9z.pdf. Accessed 15 Aug 2015
Brickley, D., Miller, L.: FOAF vocabulary specification 0.99. Namespace document (2012). http://xmlns.com/foaf/spec/
Hobbs, J.R., Pan, F.: An ontology of time for the semantic web. ACM Trans. Asian Lang. Inf. Proces. (TALIP) 3(1), 66–85 (2004)
Lieberman, J., Singh, R., Goad, C.: W3C geospatial vocabulary. W3C Incubator Group Report (2007)
Shaw, R., Troncy, R., Hardman, L.: LODE: linking open descriptions of events. In: 4th Asian Semantic Web Conference (ASWC’09) (2009)
Van Hage, W.R., Malaise, V., Segers, R., Hollink, L., Schreiber, G.: Design and use of the simple event model (SEM). Web Sem.: Sci. Serv. Agents World Wide Web 9(2), 128–136 (2011)
Guizzardi, G., Wagner, G.: Towards an ontological foundation of discrete event simulation. In: Johansson, B., Jain, S., Montoya-Torres, J., Hugan, J., Yücesan, E. (eds.) Proceedings of Winter Simulation Conference, pp. 652–664. IEEE, Baltimore (2010)
Guizzardi, G., Wagner, G.: Towards an ontological foundation of agent-based simulation. In: Jain, S., Creasey, R.R., Himmelspach, J., White, K.P., Fu, M. (eds.) Proceedings of Winter Simulation Conference. IEEE, Phoenix (2011)
Knox, S., Coyle, L., Dobson, S.: Using ontologies in case-based activity recognition. In: Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference (FLAIRS’10), Daytona Beach, Florida, 19–21 May 2010
Snell, J., Prodromou, E.: Activity vocabulary W3C working draft 31 May 2016. https://www.w3.org/TR/activitystreams-vocabulary/
Acknowledgements
We would like to express our very great appreciation to Prof. Daniel Baier from Universität Bayreuth for his valuable and constructive suggestions during the planning of this research work. Particularly, his technical suggestions with respect of marketing research requirements for deriving preferences are very much appreciated. We also want to express our gratitude to Matthias Tylkowski and Martin Müller from Binarypark, the company hosting and maintaining all our running services.
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Giurca, A. (2018). Metamarket – Modelling User Actions in the Digital World. In: Nalepa, G., Baumeister, J. (eds) Synergies Between Knowledge Engineering and Software Engineering. Advances in Intelligent Systems and Computing, vol 626. Springer, Cham. https://doi.org/10.1007/978-3-319-64161-4_11
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