Abstract
Knowledge bases’ field has known a huge development these last years. It represents the interest of several types of systems, such as intelligent systems, search engines and several other applications. In some applications, this type of data becomes unsuitable because of the large amount of information it contains. From this problem has emerged the appearance of entity summarization methods.
In this work, we adopt a summarization service API and we adapt it to our previous work [5] for the enhancement of video with the knowledge base DBpedia. We aim by this work to enhance information received by the video’s viewer with extra-data and present it in a concise and comprehensive form to be more comfortable and representable to the user.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
- 2.
This term is used in [17] also in the web, having the mean of entertainment that educates.
- 3.
maxHops is a proprety which represents the maximum number of hops that the interface can represent.
- 4.
vRank aims to model ranking information within datasets.
vRank: http://purl.org/voc/vrank#.
References
Nuzzolese, A., Presutti, V., Gangemi, A., Peroni, S., Ciancarini, P.: Aemoo: Linked data exploration based on knowledge patterns. Semant. Web 8, 1–26 (2016)
Ben Said, O., Karray, H., Haqiq, A., Alimi Alimi, M.: T-learning and interactive television for edutainment. In: International Conference on Engineering Education and Research (ICEER), Marroco, pp. 258–264 (2013)
Ben Said, O., Wali, A., Alimi, A.M.: A new System for TV program contents improvement using a semantic matching technique. In: 13th International Conference on Hybrid intelligent System (HIS), Yesmine Hammamet, Tunisia (2013)
Ben Said, O., Wali, A., Alimi, A.M.: Interlinking video programs with Linked Open Data. In: 15th International Conference on Intelligent Systems Design and Applications (ISDA), Marrakech, Morocco, pp. 246–250 (2015)
Ben Said, O., Wali, A., Alimi, A.M., Interlinking video with DBpedia using knowledge-based Word Sense Disambiguation algorithms. J. Inf. Assur. Secur. (JIAS) 6(11), 322–330 (2016)
Thalhammer, A., Stadtmüller, S.: SUMMA: a common API for linked data entity summaries. In: Cimiano, P., Frasincar, F., Houben, G.-J., Schwabe, D. (eds.) ICWE 2015. LNCS, vol. 9114, pp. 430–446. Springer, Heidelberg (2015). doi:10.1007/978-3-319-19890-3_28
Thalhammer, A., Rettinger, A.: ELES: combining entity linking and entity summarization. In: Bozzon, A., Cudre-Maroux, P., Pautasso, C. (eds.) ICWE 2016. LNCS, vol. 9671, pp. 547–550. Springer, Heidelberg (2016). doi:10.1007/978-3-319-38791-8_45
Thalhammer, A., Lasierra, N., Rettinger, A.: LinkSUM: using link analysis to summarize entity data. In: Bozzon, A., Cudre-Maroux, P., Pautasso, C. (eds.) ICWE 2016. LNCS, vol. 9671, pp. 244–261. Springer, Heidelberg (2016). doi:10.1007/978-3-319-38791-8_14
Sydow, M., Pikuta, M., Schenkel, R.: Entity summarisation with limited edge budget on knowledge graphs. In: Computer Science and Information Technology (IMCSIT), pp. 513–516 (2010)
Sydow, M., Pikuta, M., Schenkel, R.: The notion of diversity in graphical entity summarisation on semantic knowledge graphs. J. Intell. Inf. Syst. 41(2), 109–149 (2013)
Cheng, G., Tran, T., Qu, Y.: RELIN: relatedness and informativeness-based centrality for entity summarization. In: The Semantic Web - ISWC 2011: 10th International Semantic Web Conference, Bonn, Germany (2011)
Waitelonis, J., Sack, H.: Towards exploratory video search using linked data. Multimed. Tools Appl. 59(2), 645–672 (2012)
Thalhammer, A., Toma, I., RoaValverde, A.J., Fensel, D.: Leveraging usage data for linked data movie entity summarization. In: The 21st International World Wide Web Conference, Lyon, France (2012)
Singhal, A.: Introducing the Knowledge Graph: things, not strings (2012). https://googleblog.blogspot.com/2012/05/introducing-knowledge-graph-things-not.html
Torzec, N.: Yahoo’s Knowledge Graph (2014). http://semtechbizsj2014.semanticweb.com/sessionPop.cfm?confid=82&proposalid=6452
Qian, R.: Understand your world with bing (2013). http://blogs.bing.com/search/2013/03/21/understand-your-world-with-bing/
Rey-Lpez, M., Daz-Redondo, R.P., Fernndez-Vilas, A. et al.: T-MAESTRO and its authoring tool: using adaptation to integrate entertainment into personalized t-learning. Multimed. Tools Appl. 40, 409–451 (2008)
Sydow, M., Pikula, M., Schenkel, R.: DIVERSUM: Towards diversified summarisation of entities in knowledge graphs. In: Data Engineering Workshops (ICDEW), pp. 221–226 (2010)
Acknowledgments
The authors would acknowledge the financial support of this work by grants from General Direction of Scientific Research (DRGST), Tunisia, under the ARUB program.
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
Ben Said, O., Wali, A., Alimi, A.M. (2017). An Adapted Entity Summarization Service for an Enhancement Video System. In: Abraham, A., Haqiq, A., Alimi, A., Mezzour, G., Rokbani, N., Muda, A. (eds) Proceedings of the 16th International Conference on Hybrid Intelligent Systems (HIS 2016). HIS 2016. Advances in Intelligent Systems and Computing, vol 552. Springer, Cham. https://doi.org/10.1007/978-3-319-52941-7_36
Download citation
DOI: https://doi.org/10.1007/978-3-319-52941-7_36
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-52940-0
Online ISBN: 978-3-319-52941-7
eBook Packages: EngineeringEngineering (R0)