Mash-o-matic

Murthy, Sudarshan; Maier, David; Delcambre, Lois

doi:10.1145/1166160.1166214

Cited by 31 publications

(21 citation statements)

References 6 publications

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“…However, a number of mashup platforms exist that facilitate the development: Mash-o-matic [Murthy et al, 2006] can be used to generate geo-mashups based on so-called superimposed information. The Openkapow platform [Kapow Technologies Inc.…”

Section: Local and Remote Interoperability: Context-aware Mashupsmentioning

confidence: 99%

A Mobile Data Management Architecture for Interoperability of Resource and Context Data

Brodt

Schiller

Sathish

et al. 2011

2011 IEEE 12th International Conference on Mobile Data Management

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Section: Local and Remote Interoperability: Context-aware Mashupsmentioning

confidence: 99%

A Mobile Data Management Architecture for Interoperability of Resource and Context Data

Brodt

Schiller

Sathish

et al. 2011

2011 IEEE 12th International Conference on Mobile Data Management

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“…This includes three basic operations: data extraction, data matching and data integration (Murth et al, 2006). Data extraction is the process of obtaining data from source sites.…”

Section: Typical Mashup Patternmentioning

confidence: 99%

A Study of Mashup as a Software Application Development Technique with Examples from an End-User Programming Perspective

Patel

Latih

et al. 2010

Journal of Computer Science

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Abstract:The purpose of this study is to present, introduce and explain the principles, concepts and techniques of mashups through an analysis of mashup tools from End-user Development (EuD) software engineering perspectives, since it is a new programming paradigm. Problem statement: Although mashup tools supporting the creation of mashups rely heavily on data integration, they still require users to have reasonable programming skills, rather than simply enabling the integration of content in a template approach. Mashup tools also have their lifespan in a fast moving technology-driven world which requires meta-application handling. Some developers have discontinued their mashup tools but others are still available in the mashup space. It has been noted that there is a steady increase of new mashups on a daily basis with a concomitant increase of new Application Programming Interface (APIs) to support meta-mashup application EuD. Approach: Both qualitative and quantitative research methods have been utilized. After introducing the basic principles, concepts and techniques of mashups, we develop and present a categorization of mashups and mashup tools and summarize the ten most popular currently used mashup tools against seven indictors from end-user software engineering perspectives ranging from programming skill requirement, prompt suggestion of features use, operability, 'share-ability' and reuse, service, type and target user, in order to evaluate how these mashup tools support end-user development. To perform the evaluation and produce the final results, the selected indicators' features have been horizontally compared and comprehensively analyzed. Results: The philosophy of mashup is aimed at providing simple rapid program development by endusers with minimum programming skills. However, we observe that mashup tools typically follow four data processing styles: Webpage customization, wire paradigm, spreadsheet and programming by demonstration. These mashup tools are supposed to seamlessly and effortlessly assist end-users programming but this is not the case. Conclusion: From our research we concluded that some mashup tools are not really simple enough to handle and still require end-users to have a computer programming background to learn and understand its platform infrastructures and mechanisms. These might all change in the near future. There are some companies that are now involved with mashup development which provide huge opportunities to both individual and organizational customers. Mashup have now become a commercial opportunity rather than a simple way of integrating data from Web 2.0 platforms.

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“…Various mashup editors offer graphical tools as an alternative to programmatic interfaces to do the composition process, both for general, e.g. [5][6][7] and domain-specific mashup creation, e.g. [8,9].…”

Section: Introductionmentioning

confidence: 99%

Integrating Component-Based Web Engineering into Content Management Systems

Leone

Spindler

Norrie

et al. 2013

Lecture Notes in Computer Science

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Abstract. Popular content management systems such as WordPress and Drupal offer a plug-in mechanism that allows users to extend the platform with additional functionality. However, plug-ins are typically isolated extensions defining their own data structures, application logic and user interface, and are difficult to combine. We address the fact that users may want to configure their applications more freely through the composition of such extensions. We present an approach and model for component-based web engineering based on the concept of components and connectors between them, supporting composition at the level of the schema and data, the application logic and the user interface. We show how our approach can be used to integrate component-based web engineering into platforms such as WordPress. We demonstrate the benefits of the approach by presenting a composition plug-in that showcases component composition through configurable connectors based on an eCommerce application scenario.

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Mash-o-matic

Cited by 31 publications

References 6 publications

A Mobile Data Management Architecture for Interoperability of Resource and Context Data

A Mobile Data Management Architecture for Interoperability of Resource and Context Data

A Study of Mashup as a Software Application Development Technique with Examples from an End-User Programming Perspective

Integrating Component-Based Web Engineering into Content Management Systems

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