research-article

Data integration in mashups

Authors:

Giusy Di Lorenzo,

Hye-young Paik,

Boualem BenatallahAuthors Info & Claims

ACM SIGMOD Record, Volume 38, Issue 1

Pages 59 - 66

https://doi.org/10.1145/1558334.1558343

Published: 24 June 2009 Publication History

Abstract

Mashup is a new application development approach that allows users to aggregate multiple services to create a service for a new purpose. Even if the Mashup approach opens new and broader opportunities for data/service consumers, the development process still requires the users to know not only how to write code using programming languages, but also how to use the different Web APIs from different services. In order to solve this problem, there is increasing effort put into developing tools which are designed to support users with little programming knowledge in Mashup applications development. The objective of this study is to analyze the richnesses and weaknesses of the Mashup tools with respect to the data integration aspect.

References

[1]

]]Mashup Styles, Part 1: Server-Side Mashups, http://java.sun.com/~developer/technicalArticles/J2EE/mashup 1/.

[2]

]]Mashup Styles, Part 2: Client-Side Mashups, http://java.sun.com/~developer/technicalArticles/J2EE/mashup 2/.

[3]

]]OASIS: Web Services Business Process Execution Language Version 2.0. (2007), http://docs.oasisopen.org/wsbpel/2.0/wsbpel-v2.0.html.

[4]

]]S. Abiteboul, O. Greenshpan, and T. Milo. Modeling the mashup space. In WIDM, pages 87--94, 2008.

Digital Library

[5]

]]M. Altinel, P. Brown, S. Cline, R. Kartha, E. Louie, V. Markl, L. Mau, Y.-H. Ng, D. Simmen, and A. Singh. Damia: a data mashup fabric for intranet applications. In VLDB '07, pages 1370--1373. VLDB Endowment, 2007.

Digital Library

[6]

]]S. Amer-Yahia and A.Y. Halevy. What does web 2.0 have to do with databases? In VLDB, page 1443, 2007.

Digital Library

[7]

]]C. Batini, M. Lenzerini, and S.B. Navathe. A comparative analysis of methodologies for database schema integration. ACM Comput. Surv., 18(4):323--364, 1986.

Digital Library

[8]

]]M. Bhide, P. Deolasee, A. Katkar, A. Panchbudhe, K. Ramamritham, and P. Shenoy. Adaptive push-pull: Disseminating dynamic web data. IEEE Transactions on Computers, 51(6):652--668, 2002.

Digital Library

[9]

]]E. Bozdag, A. Mesbah, and A. van Deursen. A comparison of push and pull techniques for ajax. In S. uang and M.D. Penta, editors, Proceedings of the 9th IEEE WSE, pages 15--22, 2007.

Digital Library

[10]

]]F. Curbera, M.J. Duftler, R. Khalaf, and D. Lovell. Bite: Workflow composition for the web. In ICSOC, pages 94--106, 2007.

Digital Library

[11]

]]F. Daniel, J. Yu, B. Benatallah, F. Casati, M. Matera, and R. Saint-Paul. Understanding ui integration: A survey of problems, technologies, and opportunities. IEEE Internet Computing, 11(3):59--66, 2007.

Digital Library

[12]

]]C. Duda, G. Frey, D. Kossmann, and C. Zhou. Ajaxsearch: crawling, indexing and searching web 2.0 applications. PVLDB, 1(2):1440--1443, 2008.

Digital Library

[13]

]]S. Dustdar and W. Schreiner. A survey on web services composition. International Journal of Web and Grid Services, 1(1):1--30, August 2005.

Digital Library

[14]

]]R. Ennals and M.N. Garofalakis. Mashmaker: mashups for the masses. In SIGMOD, pages 1116--1118, 2007.

Digital Library

[15]

]]R.T. Fielding. Architectural Styles and the Design of Network-based Software Architectures. PhD thesis, University of California, Irvine, 2000.

Digital Library

[16]

]]R. Geambasu, C. Cheung, A. Moshchuk, S.D. Gribble, and H. M. Levy. Organizing and sharing distributed personal web-service data. In WWW, pages 755--764, 2008.

Digital Library

[17]

]]A. Halevy. Why your data won't mix. Queue, 3(8):50--58, 2005.

Digital Library

[18]

]]D.F. Huynh, D.R. Karger, and R.C. Miller. Exhibit: lightweight structured data publishing. In WWW '07, pages 737--746, New York, NY, USA, 2007. ACM.

Digital Library

[19]

]]D.F. Huynh, R.C. Miller, and D.R. Karger. Potluck: Data mash-up tool for casual users. In ISWC/ASWC, pages 239--252, 2007.

Digital Library

[20]

]]A. Jhingran. Enterprise information mashups: integrating information, simply. In VLDB '06, pages 3--4. VLDB Endowment, 2006.

Digital Library

[21]

]]S. Kinsella, A. Budura, G. Skobeltsyn, S. Michel, J.G. Breslin, and K. Aberer. From web 1.0 to web 2.0 and back -: how did your grandma use to tag? In WIDM, pages 79--86, 2008.

Digital Library

[22]

]]G.D. Lorenzo, H. Hacid, H. young Paik, and B. Benatallah. Mashups for data integration: An analysis. Technical Report UNSW-CSE-TR-0810, 2008.

[23]

]]E.M. Maximilien, H. Wilkinson, N. Desai, and S. Tai. A domain-specific language for web apis and services mashups. In ICSOC '07, pages 13--26, Berlin, Heidelberg, 2007. Springer-Verlag.

Digital Library

[24]

]]S. Murugesan. Understanding web 2.0. IT Professional, 9(4):34--41, July-Aug. 2007.

Digital Library

[25]

]]W. Pree. Design patterns for object-oriented software development. ACM Press/Addison-Wesley Publishing Co., New York, NY, USA, 1995.

Digital Library

[26]

]]E. Rahm and P.A. Bernstein. A survey of approaches to automatic schema matching. The VLDB Journal, 10(4):334--350, 2001.

Digital Library

[27]

]]D.E. Simmen, M. Altinel, V. Markl, S. Padmanabhan, and A. Singh. Damia: data mashups for intranet applications. In SIGMOD '08, pages 1171--1182, New York, NY, USA, 2008. ACM.

Digital Library

[28]

]]J. Wong and J. Hong. Marmite: end-user programming for the web. In CHI '06, pages 1541--1546, New York, NY, USA, 2006. ACM.

Digital Library

[29]

]]J. Yu, B. Benatallah, R. Saint-Paul, F. Casati, F. Daniel, and M. Matera. A framework for rapid integration of presentation components. In WWW '07, pages 923--932, New York, NY, USA, 2007. ACM.

Digital Library

Cited By

Alrashed TVerou LKarger D(2022)Wikxhibit: Using HTML and Wikidata to Author Applications that Link Data Across the WebProceedings of the 35th Annual ACM Symposium on User Interface Software and Technology10.1145/3526113.3545706(1-15)Online publication date: 29-Oct-2022
https://dl.acm.org/doi/10.1145/3526113.3545706
Serbout SPautasso CZdun U(2022)How Composable is the Web? An Empirical Study on OpenAPI Data model Compatibility2022 IEEE International Conference on Web Services (ICWS)10.1109/ICWS55610.2022.00068(415-424)Online publication date: Jul-2022
https://doi.org/10.1109/ICWS55610.2022.00068
Gil Rde Buenaga Rodríguez MGalisteo FPáez DGarcía-Cuesta E(2021)A Domain-Adaptable Heterogeneous Information Integration Platform: Tourism and Biomedicine DomainsInformation10.3390/info1211043512:11(435)Online publication date: 20-Oct-2021
https://doi.org/10.3390/info12110435
Show More Cited By

Index Terms

Data integration in mashups
1. Information systems
  1. Information retrieval
  2. Information storage systems

Recommendations

Mashups: who? what? why?
CHI EA '08: CHI '08 Extended Abstracts on Human Factors in Computing Systems

In recent years major web services have opened their systems to outside use through the implementation of public APIs. As a result, web developers have begun to experiment with mashups - software applications that merge separate APIs and data sources ...
Towards user-centered mashups: exploring user needs for composite web services
CHI EA '11: CHI '11 Extended Abstracts on Human Factors in Computing Systems

The Web contains a vast amount of services supporting users in various facets of life. In mashup or composite Web services, elements from various services are combined to create a service which suits users' needs. Our goal was to explore what kind of ...
Toward process mashups: key ingredients and open research challenges
Mashups '09/'10: Proceedings of the 3rd and 4th International Workshop on Web APIs and Services Mashups

Over the last few years, the mashup community has grown significantly, and mashup development has matured substantially compared to the initial hacking practices. Mash-ups as applications have specialized into data mashups, service mashups, or user ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM SIGMOD Record

ACM SIGMOD Record Volume 38, Issue 1

March 2009

54 pages

ISSN:0163-5808

DOI:10.1145/1558334

Issue’s Table of Contents

Copyright © 2009 Authors.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 June 2009

Published in SIGMOD Volume 38, Issue 1

Check for updates

Qualifiers

Research-article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

112
Total Citations
View Citations
1,491
Total Downloads

Downloads (Last 12 months)26
Downloads (Last 6 weeks)4

Reflects downloads up to 16 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

Alrashed TVerou LKarger D(2022)Wikxhibit: Using HTML and Wikidata to Author Applications that Link Data Across the WebProceedings of the 35th Annual ACM Symposium on User Interface Software and Technology10.1145/3526113.3545706(1-15)Online publication date: 29-Oct-2022
https://dl.acm.org/doi/10.1145/3526113.3545706
Serbout SPautasso CZdun U(2022)How Composable is the Web? An Empirical Study on OpenAPI Data model Compatibility2022 IEEE International Conference on Web Services (ICWS)10.1109/ICWS55610.2022.00068(415-424)Online publication date: Jul-2022
https://doi.org/10.1109/ICWS55610.2022.00068
Gil Rde Buenaga Rodríguez MGalisteo FPáez DGarcía-Cuesta E(2021)A Domain-Adaptable Heterogeneous Information Integration Platform: Tourism and Biomedicine DomainsInformation10.3390/info1211043512:11(435)Online publication date: 20-Oct-2021
https://doi.org/10.3390/info12110435
Chen MCheng JMa GTian LLi XShi Q(2021)Service Composition Recommendation Method Based on Recurrent Neural Network and Naive BayesScientific Programming10.1155/2021/10136822021Online publication date: 1-Jan-2021
https://dl.acm.org/doi/10.1155/2021/1013682
Alrashed TVerou LKarger D(2021)Shapir: Standardizing and Democratizing Access to Web APIsThe 34th Annual ACM Symposium on User Interface Software and Technology10.1145/3472749.3474822(1282-1304)Online publication date: 10-Oct-2021
https://dl.acm.org/doi/10.1145/3472749.3474822
Neumayr BSchuetz CGringinger EFabianek CVennesland ASchrefl MWilson S(2021)Providing packages of relevant ATM information: An ontology-based approachJournal of Air Transport Management10.1016/j.jairtraman.2020.10193790(101937)Online publication date: Jan-2021
https://doi.org/10.1016/j.jairtraman.2020.101937
Tekli G(2021)A survey on semi-structured web data manipulations by non-expert usersComputer Science Review10.1016/j.cosrev.2021.10036740(100367)Online publication date: May-2021
https://doi.org/10.1016/j.cosrev.2021.100367
Nonnemann LSchumann HUrban BAehnelt MSchulz H(2020)A Characterization of Data Exchange between Visual Analytics Tools2020 24th International Conference Information Visualisation (IV)10.1109/IV51561.2020.00066(368-377)Online publication date: Sep-2020
https://doi.org/10.1109/IV51561.2020.00066
Hardaha PSingh S(2019)Data Mashup for Improving the Performance of Global Network2019 9th International Conference on Cloud Computing, Data Science & Engineering (Confluence)10.1109/CONFLUENCE.2019.8776906(197-202)Online publication date: Jan-2019
https://doi.org/10.1109/CONFLUENCE.2019.8776906
Hardaha PSingh S(2018)Structured Data REST Protocol for End to End Data MashupFuture Internet10.3390/fi1010009810:10(98)Online publication date: 4-Oct-2018
https://doi.org/10.3390/fi10100098
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Issue’s Table of Contents