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Multi-Configuration Styles of Structured Data Mashup using SDXMapping

Prakash Narayan Hardaha1 , Shailendra Singh2

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-10 , Page no. 396-404, Oct-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i10.396404

Online published on Oct 31, 2018

Copyright © Prakash Narayan Hardaha, Shailendra Singh . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Prakash Narayan Hardaha, Shailendra Singh, “Multi-Configuration Styles of Structured Data Mashup using SDXMapping,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.10, pp.396-404, 2018.

MLA Style Citation: Prakash Narayan Hardaha, Shailendra Singh "Multi-Configuration Styles of Structured Data Mashup using SDXMapping." International Journal of Computer Sciences and Engineering 6.10 (2018): 396-404.

APA Style Citation: Prakash Narayan Hardaha, Shailendra Singh, (2018). Multi-Configuration Styles of Structured Data Mashup using SDXMapping. International Journal of Computer Sciences and Engineering, 6(10), 396-404.

BibTex Style Citation:
@article{Hardaha_2018,
author = {Prakash Narayan Hardaha, Shailendra Singh},
title = {Multi-Configuration Styles of Structured Data Mashup using SDXMapping},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {10 2018},
volume = {6},
Issue = {10},
month = {10},
year = {2018},
issn = {2347-2693},
pages = {396-404},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3037},
doi = {https://doi.org/10.26438/ijcse/v6i10.396404}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i10.396404}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3037
TI - Multi-Configuration Styles of Structured Data Mashup using SDXMapping
T2 - International Journal of Computer Sciences and Engineering
AU - Prakash Narayan Hardaha, Shailendra Singh
PY - 2018
DA - 2018/10/31
PB - IJCSE, Indore, INDIA
SP - 396-404
IS - 10
VL - 6
SN - 2347-2693
ER -

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Abstract

The structured data mashup is the special kind of data mashup which deals with well structured data throughout the mashup development process. This paper highlights mashup development life cycle and the roles of IT developers as well as end users in various steps of mashup development. The pre-mashup configuration is the essential process of the any data mashup development that creates mashup module consisting of data module, service module, mapping module and UI module. In this work, we have explored mapping module called SDXMapping to design multi-configuration styles of structured data mashup, which will not only help the mashup developers but also the end users to develop the data mashup as per the situational need

Key-Words / Index Term

Data Mashup, Structured Data Mashup, Mashup Development Life Cycle, SDXMapping, Multi-Configuration Styles

References

[1] Fung, Benjamin CM, Thomas Trojer, Patrick CK Hung, Li Xiong, Khalil Al-Hussaeni, and Rachida Dssouli, “Service-oriented architecture for high-dimensional private data mashup”, IEEE Transactions on Services Computing 5, no. 3, pp. 373-386, 2012.
[2] Lee, Yong-Ju, “Semantic-Based Web API Composition for Data Mashups”, J. Inf. Sci. Eng. 31, no. 4, pp. 1233-1248, 2015.
[3] Yu, Daniel, “Efficient Processing of Almost-Homogeneous Semi-Structured Data”, Master`s thesis, 2018.
[4] Hardaha, Prakash, Shailendra Singh, “Structured Data REST Protocol for End to End Data Mashup”, Future Internet10, no. 10, 2018.
[5] Beemer, Brandon, and Dawn Gregg, “Mashups: a literature review and classification framework.”, Future Internet 1.1: 59-87,2009.
[6] Taivalsaari, Antero, “Mashware: The future of web applications” 2009.
[7] Desolda, Giuseppe, Carmelo Ardito, Maria Francesca Costabile, and Maristella Matera, “End-user composition of interactive applications through actionable UI components”, Journal of Visual Languages & Computing 42 : 46-59,2017.
[8] Paternò, Fabio, “End user development: Survey of an emerging field for empowering people”, ISRN Software Engineering 2013.
[9] Fischer, Thomas, Fedor Bakalov, and Andreas Nauerz, “An Overview of Current Approaches to Mashup Generation”, In Wissensmanagement, pp. 254-259. 2009.
[10] Vancea, A.; Grossniklaus, M.; Norrie, M, “Database-Driven Web Mashups”, International Conference On Web Engineering, Yorktown Heights, New York, pp. 162-174, 2008.
[11] Easton, Annette, and George Easton, “Demystifying Mashups”, In Proceedings of Informing Science & IT Education Conference (InSITE), pp. 479-486, 2010.
[12] Gao, Lianli, Peng Wang, Jingkuan Song, Zi Huang, Jie Shao, and Heng Tao Shen, “Event Video Mashup: From Hundreds of Videos to Minutes of Skeleton”, In Thirty-First AAAI Conference on Artificial Intelligence, 2017.
[13] Meerwaldt, Rick, Albert Meroño-Peñuela, and Stefan Schlobach, “Mixing Music as Linked Data: SPARQL-based MIDI Mashups”, In Workshop on Humanities in the Semantic Web-WHiSe II (ISWC 2017), 2017.
[14] Di Lorenzo, Giusy, Hakim Hacid, Hye-young Paik, and Boualem Benatallah, “Data integration in mashups”, ACM Sigmod Record 38, no. 1,pp. 59-66, 2009.
[15] Zaka, Bilal, Christian Safran, and Frank Kappe, “Personalized Interactive Newscast (PINC): Towards a multimodal interface for personalized news” In Semantic Media Adaptation and Personalization, IEEE Second International Workshop on, pp. 56-61, 2007.
[16] WALES, NEW SOUTH, “Mashups for Data Integration: An Analysis”, 2008.
[17] Boulakbech, Marwa, Nizar Messai, Yacine Sam, and Thomas Devogele, “Visual Configuration for RESTful Mobile Web Mashups”, In Web Services (ICWS), 2017 IEEE International Conference on, pp. 870-873, 2017.
[18] Heath, Tom, and Christian Bizer, “Linked data: Evolving the web into a global data space”, Synthesis lectures on the semantic web: theory and technology 1, no. 1,pp. 1-136, 2011.
[19] Ruback, Livia, Marco Antonio Casanova, Alessandra Raffaetà, Chiara Renso, and Vania Vidal, “Enriching Mobility Data with Linked Open Data”, In Proceedings of the 20th ACM International Database Engineering & Applications Symposium, pp. 173-182, 2016.
[20] Tran, Tuan Nhat, Duy Khanh Truong, Hanh Huu Hoang, and Thanh Manh Le, “Linked data mashups: a review on technologies, applications and challenges”, In Asian Conference on Intelligent Information and Database Systems, pp. 253-262. Springer International Publishing, 2014.
[21] Zook, Matthew, and Jessica Breen, “Mapping Mashups”, The International Encyclopedia of Geography, 2017.
[22] Ennals, Rob, Eric Brewer, Minos Garofalakis, Michael Shadle, and Prashant Gandhi, “Intel Mash Maker: join the web”, ACM SIGMOD Record 36, no. 4, pp. 27-33, 2007.
[23] Hira, Shrabanti, and S. M. Labib, “Conceptual study of Web-based PPGIS for Designing Built Environment: Identifying Housing Location Preferences in Littleborough”, 2017.
[24] Hoyer, Volker, and Marco Fischer, “Market overview of enterprise mashup tools”, Service-Oriented Computing–ICSOC 2008, pp. 708-721,2008.
[25] Patel, Ahmed, Ibrahim AlShourbaji, and Samaher Al-Janabi, “Enhance business promotion for enterprises with mashup technology”, Middle-East Journal of Scientific Research 22, no. 2 pp. 291-299, 2014.
[26] Ngu, Anne HH, Michael P. Carlson, Quan Z. Sheng, and Hye-young Paik, “Semantic-based mashup of composite applications” IEEE Transactions on Services Computing 3, no. 1,pp. 2-15, 2010.
[27] Ma, Shang-Pin, Chun-Ying Huang, Yong-Yi Fanjiang, and Jong-Yih Kuo, “Configurable RESTful Service Mashup: A Process-Data-Widget Approach”, Appl. Math 9, no. 2L, pp. 637-644, 2015.
[28] Im, Janggwan, Seonghoon Kim, and Daeyoung Kim, “Iot mashup as a service: Cloud-based mashup service for the internet of things”, In Services Computing (SCC), 2013 IEEE International Conference on, pp. 462-469, 2013.
[29] Barhamgi, Mahmoud, Chirine Ghedira, Djamal Benslimane, S-E. Tbahriti, and Michael Mrissa, “Optimizing daas web service based data mashups”, In Services Computing (SCC), 2011 IEEE International Conference on, pp. 464-471, 2011.
[30] Madhavan, Jayant, Loredana Afanasiev, Lyublena Antova, and Alon Halevy, “Harnessing the deep web: Present and future”, arXiv preprint arXiv:0909.1785, 2009.
[31] Hornung, Thomas, Kai Simon, and Georg Lausen, “Mashups over the deep web”, In International Conference on Web Information Systems and Technologies, Springer, Berlin, Heidelberg, pp. 228-241, 2008.
[32] Auinger, Andreas, Martin Ebner, Dietmar Nedbal, and Andreas Holzinger, “Mixing content and endless collaboration–MashUps: Towards future personal learning environments”, In International Conference on Universal Access in Human-Computer Interaction, Springer, Berlin, Heidelberg, pp. 14-23, 2009.
[33] Jarrar, Mustafa, and Marios D. Dikaiakos, “A query formulation language for the data web”, IEEE Transactions on Knowledge and Data Engineering 24, no. 5, 783-798, 2012.
[34] Simmen, David E., Mehmet Altinel, Volker Markl, Sriram Padmanabhan, and Ashutosh Singh, “Damia: data mashups for intranet applications”, In Proceedings of the 2008 ACM SIGMOD international conference on Management of data, pp. 1171-1182, 2008.
[35] Bouguettaya, Athman, Surya Nepal, Wanita Sherchan, Xuan Zhou, Jemma Wu, Shiping Chen, Dongxi Liu, Lily Li, Hongbing Wang, and Xumin Liu, “End-to-end service support for mashups”, IEEE Transactions on Services Computing 3, no. 3, 250-263.2010.
[36] Kang, Jaewoo, and Jeffrey F. Naughton, “On schema matching with opaque column names and data values”, In Proceedings of the 2003 ACM SIGMOD international conference on Management of data, pp. 205-216, 2003.
[37] Tuchinda, Rattapoom, Craig A. Knoblock, and Pedro Szekely, “Building mashups by demonstration”, ACM Transactions on the Web (TWEB) 5, no. 3,16, 2011.
[38] Guo, Mingchuan, and Yong Yu, “Mutual enhancement of schema mapping and data mapping”, In International Workshop on Mining for and from the Semantic Web, p. 88, 2004.
[39] Mecca, Giansalvatore, Paolo Papotti, and Donatello Santoro, “Schema Mappings: from Data Translation to Data Cleaning”, In A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years, Springer, Cham, pp. 203-217, 2018.
[40] Salminen, Arto, and Tommi Mikkonen, “Mashups-Software Ecosystems for the Web Era”, In IWSECO@ ICSOB, pp. 18-32, 2012.