Antonio M. Rinaldi
ABSTRACT
The use of formal representation is a key task in the era of big data. In the context of multimedia big data this issue is stressed due to the intrinsic complexity nature of this kind of data. Moreover, the relations among objects should be clearly expressed and formalized to give the right meaning of data correlation. For this reason the design of formal models to represent and manage information is a necessary task to implement intelligent information systems. In this latter some approaches related to the semantic web could be used to improve the data models which underlie the implementation of big data applications. Using these models the visualization of data and information become an intrinsic and strategic task for the analysis and exploration of multimedia BigData. In this paper we propose the use of a semantic approach to formalize the model structure of multimedia BigData. In addition, the recognition of multimodal features to represent concepts and linguistic properties to relate them are an effective way to bridge the gap between the target semantic classes and the available low-level multimedia descriptors. The proposed model has been implemented in a NoSQL graph database populated from different knowledge sources and a visualization of this very large knowledge base has been presented and discussed as a case study.
- Rodrigo Agerri, Xabier Artola, Zuhaitz Beloki, German Rigau, and Aitor Soroa. 2015. Big data for natural language processing: a streaming approach. Knowledge-Based Systems 79 (2015), 36--42. Google Scholar
Digital Library
- Srividya K Bansal and Sebastian Kagemann. 2015. Integrating big data: A semantic extract-transform-load framework. Computer 48, 3 (2015), 42--50.Google ScholarDigital Library
- Gema Bello-Orgaz, Jason J Jung, and David Camacho. 2016. Social big data: Recent achievements and new challenges. Information Fusion 28 (2016), 45--59. Google ScholarDigital Library
- Salima Benbernou, Xin Huang, and Mourad Ouziri. 2017. Semantic-based and Entity-Resolution Fusion to Enhance Quality of Big RDF Data. IEEE Transactions on Big Data (2017).Google Scholar
- Tim Berners-Lee, James Hendler, and Ora Lassila. 2001. The semantic web. Scientific american 284, 5 (2001), 34--43.Google Scholar
- Anne-Claire Boury-Brisset. 2013. Managing Semantic Big Data for Intelligence.. In STIDS. 41--47.Google Scholar
- E.G. Caldarola and A.M. Rinaldi. 2018. A multi-strategy approach for ontology reuse through matching and integration techniques. Advances in Intelligent Systems and Computing 561 (2018), 63--90.Google ScholarCross Ref
- Enrico G Caldarola, Antonio Picariello, and Antonio M Rinaldi. 2015. An approach to ontology integration for ontology reuse in knowledge based digital ecosystems. In Proceedings of the 7th International Conference on Management of computational and collective intElligence in Digital EcoSystems. ACM, 1--8. Google ScholarDigital Library
- Enrico G Caldarola, Antonio Picariello, and Antonio M Rinaldi. 2015. Big graph-based Data visualization experiences: The Word-Net case study. In Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K), 2015 7th International Joint Conference on, Vol. 1. IEEE, 104--115. Google ScholarDigital Library
- Enrico G. Caldarola, Antonio Picariello, and Antonio M. Rinaldi. 2016. Experiences in WordNet visualization with labeled graph databases. Communications in Computer and Information Science 631 (2016), 80--99.Google ScholarCross Ref
- Enrico G. Caldarola and Antonio M. Rinaldi. 2015. Big Data: A Survey. In Proceedings of 4th International Conference on Data Management Technologies and Applications. SCITEPRESS-Science and Technology Publications, Lda, 362--370. Google ScholarDigital Library
- Enrico G Caldarola and Antonio M Rinaldi. 2016. An approach to ontology integration for ontology reuse. In Information Reuse and Integration (IRI), 2016 IEEE 17th International Conference on. IEEE, 384--393.Google ScholarCross Ref
- Enrico G. Caldarola and Antonio M. Rinaldi. 2017. Big data visualization tools: A survey: The new paradigms, methodologies and tools for large data sets visualization. DATA 2017 - Proceedings of the 6th International Conference on Data Science, Technology and Applications (2017), 296--305.Google Scholar
- Enrico G. Caldarola and Antonio M. Rinaldi. 2017. Modelling Multimedia Social Networks Using Semantically Labelled Graphs. 2017 IEEE International Conference on Information Reuse and Integration (IRI) (2017), 493--500.Google Scholar
- Andrea De Mauro, Marco Greco, and Michele Grimaldi. 2016. A formal definition of Big Data based on its essential features. Library Review 65, 3 (2016), 122--135.Google ScholarCross Ref
- Mike Dean and Guus Schreiber. 2004. OWL Web Ontology Language Reference. Technical Report http://www.w3.org/TR/2004/REC-owl-ref-20040210/. W3C.Google Scholar
- Cheikh Kacfah Emani, Nadine Cullot, and Christophe Nicolle. 2015. Understandable big data: a survey. Computer science review 17 (2015), 70--81. Google ScholarDigital Library
- Thomas R. Gruber. 1993. A translation approach to portable ontology specifications. Knowl. Acquis. 5, 2 (1993), 199--220. Google ScholarDigital Library
- Thomas Hassan, Christophe Cruz, and Aurélie Bertaux. 2017. Ontology-based approach for unsupervised and adaptive focused crawling. In Proceedings of The International Workshop on Semantic Big Data. ACM, 2. Google ScholarDigital Library
- Craig A Knoblock and Pedro Szekely. 2015. Exploiting Semantics for Big Data Integration. AI Magazine 36, 1 (2015).Google ScholarCross Ref
- Sangkeun Lee, Supriya Chinthavali, Sisi Duan, and Mallikarjun Shankar. 2016. Utilizing semantic big data for realizing a national-scale infrastructure vulnerability analysis system. In Proceedings of the International Workshop on Semantic Big Data. ACM, 3. Google ScholarDigital Library
- Zhihan Lv, Houbing Song, Pablo Basanta-Val, Anthony Steed, and Minho Jo. 2017. Next-generation big data analytics: State of the art, challenges, and future research topics. IEEE Transactions on Industrial Informatics 13, 4 (2017), 1891--1899.Google ScholarCross Ref
- Mohamed Nadjib Mami, Simon Scerri, Sören Auer, and Maria-Esther Vidal. 2016. Towards semantification of big data technology. In International Conference on Big Data Analytics and Knowledge Discovery. Springer, 376--390.Google ScholarCross Ref
- Emna Mezghani, Ernesto Exposito, Khalil Drira, Marcos Da Silveira, and Cédric Pruski. 2015. A semantic big data platform for integrating heterogeneous wearable data in healthcare. Journal of medical systems 39, 12 (2015), 185.Google ScholarCross Ref
- George A Miller. 1995. WordNet: a lexical database for English. Commun. ACM 38, 11 (1995), 39--41. Google ScholarDigital Library
- Vincenzo Moscato, Antonio Picariello, and Antonio M Rinaldi. 2010. A recommendation strategy based on user behavior in digital ecosystems. In Proceedings of the International Conference on Management of Emergent Digital EcoSystems. ACM, 25--32. Google ScholarDigital Library
- Robert Neches, Richard Fikes, Tim Finin, Tom Gruber, Ramesh Patil, Ted Senator, and William R. Swartout. 1991. Enabling technology for knowledge sharing. AI Mag. 12, 3 (1991), 36--56. Google ScholarDigital Library
- Erasmo Purificato and Antonio M Rinaldi. 2018. Multimedia and geographic data integration for cultural heritage information retrieval. Multimedia Tools and Applications (2018), 1--23. Google ScholarDigital Library
- Erasmo Purificato and Antonio M Rinaldi. 2018. A Multimodal Approach for Cultural Heritage Information Retrieval. In International Conference on Computational Science and Its Applications. Springer, 214--230.Google ScholarCross Ref
- Qudamah Quboa and Nikolay Mehandjiev. 2017. Creating Intelligent Business Systems by Utilising Big Data and Semantics. In Business Informatics (CBI), 2017 IEEE 19th Conference on, Vol. 2. IEEE, 39--46.Google ScholarCross Ref
- P. Shobha "Rani, R. M. Suresh, and R." Sethukarasi. "2017". "Multi-level semantic annotation and unified data integration using semantic web ontology in big data processing". "Cluster Computing" ("21" "Aug" "2017"). https://doi.org/" "Google Scholar
- Antonio M Rinaldi. 2014. A multimedia ontology model based on linguistic properties and audio-visual features. Information Sciences 277 (2014), 234--246.Google ScholarCross Ref
- Antonio M Rinaldi and Cristiano Russo. 2018. A matching framework for multimedia data integration using semantics and ontologies. In Semantic Computing (ICSC), 2018 IEEE 12th International Conference on. IEEE, 363--368.Google ScholarCross Ref
- Zheng Xu, Xiao Wei, Xiangfeng Luo, Yunhuai Liu, Lin Mei, Chuanping Hu, and Lan Chen. 2015. Knowle: a semantic link network based system for organizing large scale online news events. Future Generation Computer Systems 43 (2015), 40--50. Google ScholarDigital Library
- Albert Y Zomaya and Sherif Sakr. 2017. Handbook of Big Data Technologies. Springer. Google ScholarDigital Library
Index Terms
- A semantic-based model to represent multimedia big data
Recommendations
Multimedia Big Data Analytics: A Survey
With the proliferation of online services and mobile technologies, the world has stepped into a multimedia big data era. A vast amount of research work has been done in the multimedia area, targeting different aspects of big data analytics, such as the ...
Semantic enrichment for medical ontologies
The Unified Medical Language System (UMLS) contains two separate but interconnected knowledge structures, the Semantic Network (upper level) and the Metathesaurus (lower level). In this paper, we have attempted to work out better how the use of such a ...
Comments