Wisdom-Aware Computing: On the Interactive Recommendation of Composition Knowledge

Chowdhury, Soudip Roy; Rodríguez, Carlos; Daniel, Florian; Casati, Fabio

doi:10.1007/978-3-642-19394-1_15

Cited by 10 publications

(7 citation statements)

References 11 publications

(12 reference statements)

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“…Such a problem is typically solved by asking more expert users (e.g., colleagues or developers) for help if such is available. The challenge is how to reuse or support the reuse of development knowledge from more expert users in an automated fashion inside a tool, e.g., via recommendations of knowledge [83].…”

Section: Reuse Of Development Knowledgementioning

confidence: 99%

An Effective End-User Development Approach Through Domain-Specific Mashups for Research Impact Evaluation

Imran¹

2013

Preprint

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Over the last decade, there has been growing interest in the assessment of the performance of researchers, research groups, universities and even countries. The assessment of productivity is an instrument to select and promote personnel, assign research grants and measure the results of research projects. One particular assessment approach is bibliometrics i.e., the quantitative analysis of scientific publications through citation and content analysis. However, there is little consensus today on how research evaluation should be performed, and it is commonly acknowledged that the quantitative metrics available today are largely unsatisfactory. The process is very often highly subjective, and there are no universally accepted criteria.A number of different scientific data sources available on the Web (e.g., DBLP, Microsoft Academic Search, Google Scholar) that are used for such analysis purposes. Taking data from these diverse sources, performing the analysis and visualizing results in different ways is not a trivial and straight forward task. Moreover, the data taken from these sources cannot be used as it is due to the problem of name disambiguation, where many researchers share identical names or an author different name variations appear in the data. We believe that the personalization of the evaluation processes is a key element for the appropriate use and practical success of these research impact evaluation tasks. Moreover, people involved in such evaluation processes are not always IT experts and hence not capable to crawl data sources, merge them and compute the needed evaluation procedures.The recent emergence of mashup tools has refueled research on end-user development, i.e., on enabling end-users without programming skills to produce their own applications. Yet, similar to what happened with analogous promises in web service composition and business process management, research has mostly focused on technology and, as a consequence, has failed its objective.Plain technology (e.g., SOAP/WSDL web services) or simple modeling languages (e.g., Yahoo! Pipes) do not convey enough meaning to non-programmers. We believe that the heart of the problem is that it is impractical to design tools that are generic enough to cover a wide range of application domains, powerful enough to enable the specification of non-trivial logic, and simple enough to be actually accessible to non-programmers. At some point, we need to give up something. In our view, this something is generality since reducing expressive power would mean supporting only the development of toy applications, which is useless, while simplicity is our major aim.This thesis presents a novel approach for an effective end-user development, specifically for non-programmers. That is, we introduce a domain-specific approach to mashups that "speaks the language of users", i.e., that is aware of the terminology, concepts, rules, and conventions (the domain) the user is comfortable with. We show what developing a domain-specific mashup platform means, which role...

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Section: Reuse Of Development Knowledgementioning

confidence: 99%

An Effective End-User Development Approach Through Domain-Specific Mashups for Research Impact Evaluation

Imran¹

2013

Preprint

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“…Assuming that an end-user has this kind of technical knowledge is not realistic. WIRE is aimed at discovering technical knowledge by analyzing existing, successful applications, storing knowledge as development advice ("community composition knowledge" [8]), and delivering it in the form of contextual interactive recommendations to the end-user. The intuition is that this knowledge can be captured through composition patterns and reused as recommendations.…”

Section: Wirementioning

confidence: 99%

“…The patterns we identified include Parameter Values (e.g., values for the URL parameter in the Fetch Feed component), Component Associations (e.g., suggest that a Loop component should be added together with a Fetch Feed component), Connectors (e.g., possible connections between components), Data Mapping (e.g., suggest that the item.link element coming from the Fetch Feed component should be mapped to the URL parameter of the Fetch Page component), or Complex patterns (e.g., suggest adding components based on a Component Association pattern together with the wiring among them based on a Connector pattern). A detailed explanation of the conceptual model and architecture of WIRE is presented in [8].…”

Section: Wirementioning

confidence: 99%

End-User Requirements for Wisdom-Aware EUD

Angeli

Battocchi

Chowdhury

et al. 2011

End-User Development

Self Cite

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Abstract. This paper presents requirements elicitation study for a EUD tool for composing service-based applications. WIRE aims at enabling EUD by harvesting and recommending community composition knowledge (the wisdom), thus facilitating knowledge transfer from developers to end-users. The idea was evaluated with 10 contextual interviews to accountants, eliciting a rich set of information, which can lead to requirements for Wisdom-Aware EUD.

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“…All of them are characterized through the end-user oriented development paradigm and continuous reuse of already existing components and functionalities. New goal-oriented mashups can be constructed even without programming skills -leveraging the experience and building blocks produced by other developers [4].…”

Section: Introductionmentioning

confidence: 99%

Integration of Telco Services into Enterprise Mashup Applications

Chudnovskyy

Weinhold

Gebhardt

et al. 2012

Current Trends in Web Engineering

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Abstract. In this paper we present our approach to integrate telco services into enterprise mashup applications. We show how cross-network integration and multi-user-oriented mashup concept support execution and orchestration of business processes. We identify the main classes of telco services and provide a reference architecture for telco-enabled mashup applications. Finally, we describe our approach for systematic integration process and give an outlook into our further research.

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Wisdom-Aware Computing: On the Interactive Recommendation of Composition Knowledge

Cited by 10 publications

References 11 publications

An Effective End-User Development Approach Through Domain-Specific Mashups for Research Impact Evaluation

An Effective End-User Development Approach Through Domain-Specific Mashups for Research Impact Evaluation

End-User Requirements for Wisdom-Aware EUD

Integration of Telco Services into Enterprise Mashup Applications

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