Mashup Technology Research Articles

Analysis of End-User Mashup Application in Web applications

Mashup technologies that enable users to edit Web content are used to create end-user application development paradigms. It is not just a crucial technique that must be understood; it is also a crucial mechanism for developing effective end-user apps. It is recognised that consumers without computer programming experience can easily deploy and use mashup technology This paper describes research that aims to conduct an experiment to confirm this claim. Observable end-user application development requirements are also outlined, along with the research methodology and measuring techniques used to present the findings. The remix of a meta-application to evaluate mashup development employed two different Application Programming Interfaces (APIs), one from Flickr and the other from Google Map. The experimenters instructed the participants to create their own meta-application using any of the three mashup tools: Yahoo! Pipes, Intel Mash Maker, and Dapper. The findings disproved the notion that mashup development is simple enough for non-programmers to perform, demonstrating that creating mashup meta-applications is difficult for end users who lack programming and Information and Communication Technologies (ICT) abilities.

Literature Review Visualisasi Data dan Sistem Informasi Geografis

In the past, statisticians, programmers, and data scientists handled data analytics, rarely interacting with companies directly. However, this "experts only" method of data analysis and display has been altered by more user-friendly data visualization, dashboards, and mashup technologies. With improvements that make it possible for people at all levels of an organization to analyze data in meaningful ways, data analytics is being pushed into business. The reporting and visualization tools that statisticians formerly used are now being improved by manufacturers of enterprise-grade analytics. This study describes how dashboards help businesses optimize their operations. And how business dashboards are developed using real-time data and people's innate capacity for visual thought.

Literature Review Visualisasi Data dan Sistem Informasi Geografis

In the past, statisticians, programmers, and data scientists handled data analytics, rarely interacting with companies directly. However, this "experts only" method of data analysis and display has been altered by more user-friendly data visualization, dashboards, and mashup technologies. With improvements that make it possible for people at all levels of an organization to analyze data in meaningful ways, data analytics is being pushed into business. The reporting and visualization tools that statisticians formerly used are now being improved by manufacturers of enterprise-grade analytics. This study describes how dashboards help businesses optimize their operations. And how business dashboards are developed using real-time data and people's innate capacity for visual thought.

Augmented latent Dirichlet allocation model via word embedded clusters for mashup service clustering

AbstractAlong with the growing number of mashups, there have been many changes in their diversity as well. With the creation of a wide variety of mashup services, it has become difficult to select and recommend appropriate web‐based APIs or services to launch an application based on the principle of mashup technology. In keeping with the methods already in place, we realized that the input/output parameters and text description which are key features directly from WSDL specification documents are increasingly being used in the mashup service innovation process. The quality of these methods can be enhanced by capturing hidden topic content from WSDL documents through the LDA (latent Dirichlet allocation). In this paper, the performance as concerns the LDA model can be enhanced by using some auxiliary features rather than limiting it to some extent. The reason for this is that the word vectors achieved by the word2vec tool is of advanced quality than the word vectors of the word gained by the LDA model. So, we proposed to innovate the novel mashup service innovation and clustering method with better efficiency and higher accuracy through word2vec. Here developed an improved LDA model with a word embedded cluster (called AUG‐LDA) that has a major impact on word vector quality. In this proposed approach, the LDA's training process can be semimonitored by first acquiring the word vectors through the word2vec tool and then merging the word clusters with the K‐means++ algorithm. This will enable better representations for the distribution of mashup services. This can be obtained by crawling the dataset from the website calledwww.programmableweb.comto perform a comprehensive experiment and demonstrate the proposed method. It has been proven that there is a better increase by comparing our approach with different metrics and the clustering accuracy values obtained by other methods.

Clustering Mashups by Integrating Structural and Semantic Similarities Using Fuzzy AHP

Mashup technology has become a promising way to develop and deliver applications on the web. Automatically organizing Mashups into functionally similar clusters helps improve the performance of Mashup discovery. Although there are many approaches aiming to cluster Mashups, they solely focus on utilizing semantic similarities to guide the Mashup clustering process and are unable to utilize both the structural and semantic information in Mashup profiles. In this paper, a novel approach to cluster Mashups into groups is proposed, which integrates structural similarity and semantic similarity using fuzzy AHP (fuzzy analytic hierarchy process). The structural similarity is computed from usage histories between Mashups and Web APIs using SimRank algorithm. The semantic similarity is computed from the descriptions and tags of Mashups using LDA (latent dirichlet allocation). A clustering algorithm based on the genetic algorithm is employed to cluster Mashups. Comprehensive experiments are performed on a real data set collected from ProgrammableWeb. The results show the effectiveness of the approach when compared with two kinds of conventional approaches.

Web-GIS integrated open source mashup technology as a cue for integrated management in coastal megacities

Coastal resource management is a significant component of the sustainable development alongside the dynamic coastal zone overlapping urban regions. The Stakeholder requirements for the strategic coastal resource planning prerequisite a systematic approach to fill the critical gap on the subject of information, knowledge, data and GIS (Geographical Information System) services in coastal cities. In order to facilitate this, we introduce an open source Web-GIS based decision support framework stated as the Coastal management information system (CMIS) which has been developed to integrate data and knowledge coupled with GIS services for the Mumbai megacity, developed using the open source platform based on PHP and Map Script. CMIS consists of three key components – Data Centre (houses different datasets for expert stakeholders), Knowledge Centre (developed for common stakeholders), and Web-GIS based online mapping tool called CMIS Online which enables a user-friendly assessment of coastal resources. The framework can serve as a dynamic mapping application for coastal features, incorporating advanced GIS functionalities. This paper further describes the methodology for the development and implementation of CMIS as a pilot initiative along the coastline. The initiative can strengthen the institutional framework between associated government agencies, coastal planners, managers, and researchers. The study also encourages the use of open source coupled GIS techniques, which can enhance the transparency in the allocations and utilization of coastal resources among various end users, and thereby the developed framework can curtail over-exploitation of resources to some extent and can aid in the progression towards a more sustainable and resilient urban environment.

Using Digital Mashup Technology to Tell the Story of a Disease.

Using Digital Mashup Technology to Tell the Story of a Disease.

A study on the development of an autonomous electrical safety management service using an IoT-based smart outlet

At present, individual households within a multi-family residential are at susceptible to electrical accidents. As if in a blind spot, they cannot be covered under electrical safety management. This paper presents issues about an autonomous electrical safety management service which uses smart outlets to ensure electrical safety for individual households. Risk factors surrounding electrical incidents occurring in a mashup tech-based environment were analyzed and a smart outlet equipped with a prediction technique was developed. In addition to this, an autonomous electrical safety management service scenario was developed to handle mechanical failures in autonomous electrical safety devices which run on IoT-based smart outlets. By utilizing such an autonomous electrical safety management service model, technology for electrical safety security was developed for individual households or each residential unit in multi-dwelling unit. The correlation among voltage, current, and zero phase current was analyzed to identify the risk factors of electrical accidents and to predict accidents. In order to detect arc faults, a new prediction technique was developed. The technique is based on the mashup technology after analyzing waveform and FFT derived from the correlation among voltage, current, and zero phase current. In particular, the techniques applied to analyze nonlinear models such as an arc fault show the diversity in the application areas of traditional fast fourier transform (FFT) algorithms. Furthermore, by using such a technique for electrical accident prediction, an autonomous electrical safety management model was developed. Thus, a measure to ensure micro-grid electrical safety was presented. There is the hope that this development of the management technique for individual households in connection with the fourth industrial revolution would contribute to electrical safety.

Structure-aware Mashup service Clustering for cloud-based Internet of Things using genetic algorithm based clustering algorithm

An increasing number of physical objects connected to the Internet makes it possible for smart things to access all kinds of cloud services. Mashup technology has been an effective way to the rapid IoT (Internet of Things) application development. However, the number of Mashup services (IoT applications) being so large makes how to discover the desired IoT applications accurately and efficiently become a problem. Service clustering technology can facilitate service discovery effectively, and many different approaches have been proposed. However, many of them only use semantic similarities to guide clustering operations and need the configuration of the number of clusters. Structural similarities are orthogonal to semantic similarities. But they have never been used in service clustering approaches. In this paper, we propose a novel Mashup service clustering approach based on a structural similarity and a genetic algorithm based clustering algorithm. First, it applies a two-mode graph to describe Mashups, Web APIs, and their relations formally. Second, it applies the SimRank algorithm to quantify the structural similarity between every pair of Mashup services. Finally, it introduces a genetic algorithm based clustering algorithm to organize Mashup services into clusters effectively and determines the number of clusters automatically. Empirical results on a real-world Mashup services data set collected from ProgrammableWeb demonstrate that our approach can cluster Mashup services efficiently without any constraints on the number of clusters, and its performance is better than other Mashup service clustering approaches based on semantic metrics.

Using ERP Mashups to Improve Business Processes

Customizing an Enterprise Resource Planning (ERP) system to fit organizational needs is a complex task. Cost, difficulties with maintenance and upgrade, and loss of vendor support are just some of the factors that cause customizations to fail. Enterprise mashups represent a new way of tailoring an ERP environment in close collaboration with users. We have developed two enterprise mashups for a multinational company in the fish feed industry. The paper describes and discusses how organizations may use mashup technology to improve their processes by customizing their ERP systems. Our study suggests that the case organization indeed has a potential for such improvement.

Yet another adaptive learning management system based on Felder and Silverman’s learning styles and Mashup

This study designs and implements an adaptive learning management system based on Felder and Silverman’s Learning Style Model and the Mashup technology. In this system, Felder and Silverman’s Learning Style model is used to assess students’ learning styles, in order to provide adaptive learning to leverage learners’ learning preferences. Additionally, this learning system also allows learners to use a Mashup search engine to search for related supplementary learning materials for better learning outcomes. An experiment is conducted to evaluate the effectiveness of the developed adaptive learning management system. A questionnaire is also circulated to collect data for qualitative and quantitative analysis of the usability of the developed system. The results show that the system significantly improves learning outcomes and the usability is also well-accepted by the participants.

Task Automation Services: Automation for the Masses

A simple model of mashup technology for combining services and connected devices is now becoming popular. This model is frequently referred to as task automation based on Event-Condition-Action (ECA) rules. The most popular online services that follow this approach are Ifttt and Zapier. In addition, this model is being followed by several mobile frameworks to automate how phones deal with incoming Internet events and phone sensors. Here, the authors outline the features and components of task automation services (TASs), and propose a generic architecture that supports current challenges. Also, because TASs are a growing trend, this article provides a survey comparison of existing platforms and discusses their evolution and future tendencies.

Rich dynamic mashments: An approach for network management based on mashups and situation management

In network management, significant research efforts have been carried out to automate and facilitate the tasks conducted by network administrators. However, so far, none of these efforts has exploited the opportunities of jointly using the Situation Management discipline and the mashup technology for network management. This paper introduces an approach, called Rich Dynamic Mashments, to facilitate the daily work of network administrators when dealing with unexpected, dynamic, and heterogeneous situations. We have referred to as nmsits to such type of network management situations (e.g., a sudden packet loss in a core router of a network backbone and an unforeseen slowness in data transmission over a link between virtual routers) and mashments to tunable mashups that use Situation Management for conducting network management tasks. The proposed approach is made up by the models of nmsits and mashments, the mechanisms to automatically recognize nmsits and dynamically compose mashments, and the architecture supporting these models and mechanisms. We further implement a prototype of our approach and conduct an extensive analysis on networks based on the Software-Defined Networking paradigm. The analysis results have provided directions and evidence that corroborate the feasibility of using Rich Dynamic Mashments as an effective approach for network management in terms of time-recognition, time-composition, time-consuming, time-response, and network traffic.

Assistive Tools towards Personal Learning Environment in Higher Education

This study explores the tools and materials used in personal learning environment (PLE) by investigating the impact of embedding a mashup technology into learning environment. With Web 2.0 technologies, mashing up several materials into learning repository helps learners to form their own scope of learning. A PLE mashup model is suggested in determining suitable tools and materials. Based on the current trends in Web 2.0, another aspect of PLE that could be further investigated is the adoption of social media application for formal higher education level. A study on student perception shows a positive acceptance towards PLE in their learning activities. In order to serve as learning tool, how the technology could be implemented, and its limitation towards efficiency was highlighted.

Yahoo!Search and Web API Utilized Mashup based e-Leaning Content Search Engine for Mobile Learning

Mashup based content search engine for mobile devices is proposed. Mashup technology is defined as search engine with plural different APIs. Mash-up has not only the plural APIs, but also the following specific features, (1) it enables classifications of the contents in concern by using web 2.0, (2) it may use API from the different sites, (3) it allows information retrievals from both sides of client and server, (4) it may search contents as an arbitrary structured hybrid content which is mixed content formed with the individual content from the different sites, (5) it enabling to utilize REST, RSS, Atom, etc. which are formed from XML conversions. The mash-up should be a flexible search engine for any purposes of content retrievals. The proposed search system allows 3D space display of search menus with these peculiarities on Android devices. The proposed search system featuring Yahoo!search BOSS and Web API is also applied for e-learning content retrievals. It is confirmed that the system can be used for search a variety of e-learning content in concern efficiently.

Research on Data Aggregation Application Based on Mashup

Recently, the development of electronic commerce has gotten better and better. But the sales tool of e-commerce platforms is not yet mature. In this paper, a sales tool is implemented by using mashup technology combined with MVC pattern to aggregate data from different data sources, such as gostats.com, k780.com. It can help vendors and develop reasonable sales strategy in the e-commerce, by tracking the IP addresses of the visitors on product pages and display the distribution by calling Google Map API.

Enacted Software Development Process based on Cross Platform Unified Framework in the Context of Investment Banking

The demand for the rich web based solution changed the way the application were developed in the investment banking industry specifically for sales and trading (front office activities). Traditionally, simple web application were considered to be enough powerful to provide the user with all the capabilities. Later on developer started implementing mashup technology in order to cater to IBs ever increasing demands, which actually is a technique for building applications that combine data from multiple sources to create an integrated experience. This paper extends the concept of enterprise mashups to provide a new framework called cross platform unified framework (CPUF ) which is a cross-technology and delivery platform framework, services, patterns and practices aimed at changing the way IB industry projects are design and delivered to business users. This paper not only explains the various core components of the framework it also highlights the important benefits of the CPUF. It aimed at understanding the user needs from their technical interface(s), identify the systems that can provide these features, provide a technology agnostic framework that can stitch this information together without moving data or processes out of the existing system.

Monitoring Virtual Nodes using mashups

The use of virtualization technologies is one of major trends in computer networks. Up to now, most of monitoring tasks on Virtual Nodes, made up of several system virtualization environments and network virtualization environments, require manual intervention via non-standardized interfaces. Although monitoring based on proprietary command lines and graphical user interfaces may be enough for homogeneous Virtual Nodes, it is certainly not suitable for monitoring, in an integrated way, Virtual Nodes in which, the aforementioned environments use heterogeneous virtualization technologies, both in networks and systems. In this paper, we demonstrate that the mashup technology can be used to carry out the integrated monitoring of heterogeneous Virtual Nodes. In this sense, we present a mashup-based architecture targeted to monitor such type of Virtual Nodes, we introduce a reference implementation of the mashup-based architecture, and we develop on it, three monitoring mashups. The quantitative assessment of these mashups corroborates that they generate low traffic and have short response time. Furthermore, their qualitative assessment reveals that it is feasible to provide flexible and extensible mashups for monitoring Virtual Nodes.

Lively3D: Building a 3D Desktop Environment as a Single Page Application

The Web has rapidly evolved from a simple document browsing and distribution environment into a rich software platform, where desktop-style applications are treated as first class citizens. Despite the associated technical complexities and limitations, it is not unusual to find complex applications that build on the web as their only platform, with no traditional installable application for the desktop environment - such systems are simply accessed via a web page that is downloaded inside the browser and once loading is completed, the application will begin its execution immediately. With the recent standardization efforts, including HTML5 and WebGL in particular, compelling, visually rich applications are increasingly supported by the the browsers. In this paper, we demonstrate the new facilities of the browser as a visualization tool, going beyond what is expected of traditional web applications. In particular, we demonstrate that with mashup technologies, which enable combining already existing content from various sites into an integrated experience, the new graphics facilities unleashes unforeseen potential for visualizations.

A method for facilitating end-user mashup based on description

The development of mashup technology has allowed people to more efficiently create web applications with existing information drawn from the web. However, not every mashup developer can use any given web source in a mashup. There are two technological problems. First, it is not always possible to reuse a given source. There are web applications and web services, two kinds of sources. The traditional way of reusing web services is to write a program. Relevant and applicable approaches are needed in order to reuse web applications. Second, it must be possible for users without programming knowledge to reuse an existing web source. In this paper, we propose an effective approach that allows end-users to build mashup applications with almost any part(s) of web applications and REST web services without programming. Our approach supports the more flexible transfer of information between components, which can be achieved via a web application or REST web service.