Análise e Caracterização de Receitas Gastronômicas na Web
Resumo
A internet nos dias atuais tem desempenhado um importante papel em toda a sociedade, facilitando a realização de serviços e tendo diversos fins. Um dos serviços que surgiram a partir da internet foram os sistemas colaborativos, onde diversos usuários criam o conteúdo dos sistemas através de experiências pessoais. Um dos tipos de sistemas colaborativos existentes atualmente é o de compartilhamento de receitas gastronômicas. A área de Recuperação da Informação na Web tem crescido o interesse no que diz respeito a recuperar as informações contidas nesse ambiente e estudá-las de forma a descobrir novo conhecimento, como a descoberta de receitas saudáveis, o que acontece por meio do uso de técnicas de mineração de dados textuais. Nesse escopo, o presente trabalho tem o objetivo de estudar características de dados de receitas gastronômicas presentes em sites de compartilhamento de receitas, levando em consideração características dos ingredientes, comentários, número de usuários, categorias, entre outras informações associadas às receitas. Objetiva-se ainda identificar os verbos associados às instruções de preparo que representam ações utilizadas no preparo da receita, como “assar”, “fritar” e outros. Dessa forma, foi possível analisar algumas relações entre as ações verbais e a maneira como se dá o processo de preparo de uma receita.
Palavras-chave:
Mineração de Dados, Receitas Gastronômicas, Mídia Social
Referências
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S. Barouti, D. Alhadidi, and M. Debbabi. Symmetrically-private database search in cloud computing. In Cloud Computing Technology and Science (CloudCom), 2013 IEEE 5th International Conference on, volume 1, pages 671–678. IEEE, 2013.
N. Bonvin, T. G. Papaioannou, and K. Aberer. A self-organized, fault-tolerant and scalable replication scheme for cloud storage. In Proceedings of the 1st ACM symposium on Cloud computing, pages 205–216. ACM, 2010.
E. Boytsov and V. Sokolov. Multi-tenant database clusters for saas. proceedings of BMSD, page 144, 2012.
D. Chen, G. Doumeingts, and F. Vernadat. Architectures for enterprise integration and interoperability: Past, present and future. Comput. Ind., 59(7):647–659, Sept. 2008.
G. Chen, H. T. Vo, S. Wu, B. C. Ooi, and M. T. ¨Ozsu. A framework for supporting dbms-like indexes in the cloud. Proceedings of the VLDB Endowment, 4(11):702–713, 2011.
J. GANTZ and D. REINSEL. Extracting value from chaos. (1142):9–10, 2011.
A. Geraci. IEEE Standard Computer Dictionary: Compilation of IEEE Standard Computer Glossaries. IEEE Press, Piscataway, NJ, USA, 1991.
I. Gorti, N. Shiri, and T. Radhakrishnan. A flexible data model for multi-tenant databases for software as a service. In Computational Science and Engineering (CSE), 2013 IEEE 16th International Conference on, pages 1059–1066. IEEE, 2013.
J. Han, M. Song, and J. Song. A novel solution of distributed memory nosql database for cloud computing. In Computer and Information Science (ICIS), 2011 IEEE/ACIS 10th International Conference on, pages 351–355. IEEE, 2011.
D. Hou, S. Zhang, and L. Kong. Placement of saas cloud data and dynamically access scheduling strategy. In Computer Science & Education (ICCSE), 2013 8th International Conference on, pages 834–838. IEEE, 2013.
M.-J. Hsieh, C.-R. Chang, L.-Y. Ho, J.-J. Wu, and P. Liu. Sqlmr: A scalable database management system for cloud computing. In Parallel Processing (ICPP), 2011 International Conference on, pages 315–324. IEEE, 2011.
M. Hui, D. Jiang, G. Li, and Y. Zhou. Supporting database applications as a service. In Data Engineering, 2009. ICDE’09. IEEE 25th International Conference on, pages 832–843. IEEE, 2009.
L. Jiang, J. Cao, P. Li, and Q. Zhu. A mixed multi-tenancy data model and its migration approach for the saas application. In Services Computing Conference (APSCC), 2012 IEEE Asia-Pacific, pages 295–300. IEEE, 2012.
K. Lanju, L. Qingzhong, and W. Xue. Multi-level index model for saas application. In Web Information System and Application Conference (WISA), 2013 10th, pages 23–28. IEEE, 2013.
Y. Li, L. Guo, and Y. Guo. Cacss: Towards a generic cloud storage service. In CLOSER, pages 27–36, 2012.
H. Liu and S. Wu. Data storage schema upgrade via metadata evolution in saas. In Consumer Electronics, Communications and Networks (CECNet), 2012 2nd International Conference on, pages 3148–3151. IEEE, 2012.
E. Mykletun and G. Tsudik. Aggregation queries in the database-as-a-service model. In Data and Applications Security XX, pages 89–103. Springer, 2006.
J. Ni, G. Li, J. Zhang, L. Li, and J. Feng. Adapt: adaptive database schema design for multi-tenant applications. In Proceedings of the 21st ACM international conference on Information and knowledge management, pages 2199–2203. ACM, 2012.
S. Pokraev. Model-Driven Semantic Integration of Service-Oriented Applications. PhD thesis, University of Twente, October 2009.
A. M. Segura, J. S. Cuadrado, and J. D. Lara. Odaas: Towards the model-driven engineering of open data applications as data services. In Enterprise Distributed Object Computing Conference Workshops and Demonstrations (EDOCW), 2014 IEEE 18th International, pages 335–339. IEEE, 2014.
W. Shengqi, Z. Shidong, and K. Lanju. A dynamic data storage architecture for saas. In Multimedia Information Networking and Security (MINES), 2010 International Conference on, pages 292–296. IEEE, 2010.
M. J. Standard. Information Technology - Vocabulary - Part 1: Fundamental Terms (ISO/IEC 2382-1:1993, IDT). Malaysian standard. Department of Standards Malaysia, 2005.
O. Terzo, P. Ruiu, E. Bucci, and F. Xhafa. Data as a service (daas) for sharing and processing of large data collections in the cloud. In Complex, Intelligent, and Software Intensive Systems (CISIS), 2013 Seventh International Conference on, pages 475–480. IEEE, 2013.
H.-L. Truong, S. Dustdar, J. G¨otze, T. Fleuren, P. M¨uller, S.-E. Tbahriti, M. Mrissa, and C. Ghedira. Exchanging data agreements in the daas model. In Services Computing Conference (APSCC), 2011 IEEE Asia-Pacific, pages 153–160. IEEE, 2011.
Q. H. Vu, T.-V. Pham, H.-L. Truong, S. Dustdar, and R. Asal. Demods: A description model for data-as-a-service. In Advanced Information Networking and Applications (AINA), 2012 IEEE 26th International Conference on, pages 605–612. IEEE, 2012.
C. Weiliang, Z. Shidong, and K. Lanju. A multiple sparse tables approach for multi-tenant data storage in saas. In Industrial and Information Systems (IIS), 2010 2nd International Conference on, volume 1, pages 413–416. IEEE, 2010.
Z. Xuxu, L. Qingzhong, and K. Lanju. A data storage architecture supporting multi-level customization for saas. In Web Information Systems and Applications Conference (WISA), 2010 7th, pages 106–109. IEEE, 2010.
M. Zhou, R. Zhang, D. Zeng, and W. Qian. Services in the cloud computing era: A survey. In Universal Communication Symposium (IUCS), 2010 4th International, pages 40–46. IEEE, 2010.
X. Zhou, D. Zhan, L. Nie, F. Meng, and X. Xu. Suitable database development framework for business component migration in saas multi-tenant model. In Service Sciences (ICSS), 2013 International Conference on, pages 90–95. IEEE, 2013.
Publicado
17/05/2016
Como Citar
RODRIGUES, Edwaldo S.; PEREIRA JR., Álvaro R..
Análise e Caracterização de Receitas Gastronômicas na Web. In: SIMPÓSIO BRASILEIRO DE SISTEMAS DE INFORMAÇÃO (SBSI), 12. , 2016, Florianópolis.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2016
.
p. 425-432.
DOI: https://doi.org/10.5753/sbsi.2016.5991.
