The week's pick
Random Articles
Reseach Article
Creating a Semantic Academic Lecture Video Search Engine via Enrichment Textual and Temporal Features of Subtitled YouTube EDU Media Fragments
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 96 - Number 13 |
| Year of Publication: 2014 |
| Authors: Babak Farhadi |
10.5120/16853-6719
|
Babak Farhadi . Creating a Semantic Academic Lecture Video Search Engine via Enrichment Textual and Temporal Features of Subtitled YouTube EDU Media Fragments. International Journal of Computer Applications. 96, 13 ( June 2014), 13-18. DOI=10.5120/16853-6719
Abstract
In this paper, we propose a new framework to annotating subtitled YouTube EDU media fragments using textual features such as exert all the basic portions extracted from the web-based natural language processors of in relation to subtitles and temporal features such as duration of the media fragments where proper entities are spotted. We've created the SY-E-MFSE (Subtitled YouTube EDU Media Fragment Search Engine) as a framework to cruising on the subtitled YouTube EDU videos resident in the Linked Open Data (LOD) cloud. For realizing this purpose, we propose Unifier Module of Outcomes of Web-Based Natural Language Processors (UM-OWNLP) for extracting the essential portions of the 10 NLP tools that are based on the web, from subtitles associated to YouTube videos in order to generate media fragments annotated with resources from the LOD cloud. Then, we propone Unifier Module of Outcomes of Web-Based Named Entity (NE) Booster Processors (UM-OWNEBP) containing the six web Application Programming Interfaces (API) to boost outcomes of NEs obtained from UM-OWNLP. We've presented 'UM-OWNLP ontology' to support all the 10 NLP web-based tools ontological features and representing them in a steadfast framework.
References
- B. Haslhofer, W. Jochum, R. King, C. Sadilek, and K. Schellner, "The LEMO annotation framework: weaving multimedia annotations with the web," International Journal on Digital Libraries, vol. 10, pp. 15-32, 2009.
- J. Waitelonis and H. Sack, "Augmenting video search with linked open data," in Proc. of int. conf. on semantic systems, 2009, pp. 1-9.
- O. Erling and I. Mikhailov, "RDF Support in the Virtuoso DBMS," in Networked Knowledge-Networked Media, ed: Springer, 2009, pp. 7-24.
- R. Arndt, R. Troncy, S. Staab, L. Hardman, and M. Vacura, "COMM: designing a well-founded multimedia ontology for the web," in The semantic web, ed: Springer, 2007, pp. 30-43.
- T. Steiner and M. Hausenblas, "SemWebVid-Making Video a First Class Semantic Web Citizen and a First Class Web Bourgeois," in ISWC Posters&Demos, 2010, pp. 1-8.
- T. Steiner, R. Verborgh, R. Van de Walle, M. Hausenblas, and J. Gabarró Vallès, "Crowdsourcing event detection in YouTube videos," 2012, pp. 58-67.
- Y. Li, G. Rizzo, R. Troncy, M. Wald, and G. Wills, "Creating enriched YouTube media fragments with NERD using timed-text," pp. 1-4, 2012.
- G. Rizzo and R. Troncy, "NERD: A Framework for Unifying Named Entity Recognition and Disambiguation Extraction Tools," in Proceedings of the Demonstrations at the 13th Conference of the European Chapter of the Association for Computational Linguistics, 2012, pp. 73-76.
- J. Waitelonis, N. Ludwig, and H. Sack, "Use what you have: Yovisto video search engine takes a semantic turn," in Semantic Multimedia, ed: Springer, 2011, pp. 173-185.
- B. Farhadi and M. B. Ghaznavi Ghoushchi, "Creating a Novel Semantic Video Search Engine through Enrichment Textual and Temporal Features of Subtitled YouTube Media Fragments, " in 3rd International conference on Computer and Knowledge Engineering, 2013.
- B. Farhadi, "Enriching Subtitled YouTube Media Fragments via Utilization of the Web-Based Natural Language Processors and Efficient Semantic Video Annotations," Global Journal of Science, Engineering and Technology, pp. 41-54, 2013.
Index Terms
Keywords