• 한국정보교육학회:학술대회논문집
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• 2011.01a
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• pp.195-202
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• 2011

In the latest internet environment based on Web 2.0, the open API in the form of mash-ups have emerged. In this study, we analyzed the contents of textbooks and curriculum related Web 2.0. We also designed the teaching and learning strategies using open API and mashup services. Firstly, we divided into four specific types of teaching-learning procedures and suggested the lesson plans. Moreover we developed the prototype on open API and mashup service-based contents and sites. Through this study, we presented special teaching strategies using new technology like an open API and mashup.

• Journal of the Korea Society of Computer and Information
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• v.17 no.5
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• pp.93-101
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• 2012

In the field of urban planning and disaster prevention, various geographical information systems (GIS) and design softwares have been in use. Recently urban planners and disaster managing officials face new challenges, as three dimensional GIS, web environment, and smart phone app are rapidly developed. Technical progress in open API and mashup opens a possibility of making the citizen participation-based smart phone applications in the field of urban planning and disaster prevention. Our suggested smart phone applications will have technical, economic, and administrative impacts on the society in general; and play an effective role in developing U-City, U-health, and disaster prevention.

• Korean Journal of Remote Sensing
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• v.24 no.5
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• pp.389-396
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• 2008

In these days, various kinds of web applications based on web 2.0 paradigm have been developed. In web 2.0 paradigm pursuing participation, sharing, and openness on the web-as-platform, web mapping or web GIS application are regarded as top most applications, so that web applications, handling geo-spatial contents, with user-interaction interface and search engine of high performance have been provided for both public users and expert users in the special domains. Public and industrial needs for web mapping mashup application by open API, linked with the practical web computing technologies, are gradually increasing. In this study, a user interface in mashup for geo-spatial feature generation was implemented by using mainly Google maps API. Spatial database resources in this implementation are those of Google mapping server. As the results, public users on web client can create their own geo-spatial data sets in web vector formats, without the help of any GIS tools or access to proprietary databases. It is concluded that web-based mashup application in client-side using open API can be used as an alternative for geo-browsing system or portable feature generation system.

• Journal of Korea Society of Digital Industry and Information Management
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• v.5 no.1
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• pp.89-98
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• 2009

The existing mashup service providers have induced users to participate in their own made services and have grown their services by user participations and contributing contents. Recent services based on Web2.0 are called by 'Open (Content) Service' which means anyone can provide new services to the others without any of their own contents. But unfortunately the most of these days services are not opened. They just using mashups for increasing their service's traffics. We introduce the way to make a simple service to provide searching videos present it with extracted keyword from external content without our own contents at all. this show that how to combine the content with another contents or services.

• International journal of advanced smart convergence
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• v.12 no.2
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• pp.34-46
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• 2023

A growing number of large scale knowledge graphs raises several issues how knowledge graph data can be organized, discovered, and integrated efficiently. We present a novel semantic-based mashup platform for contents convergence which consists of acquisition, RDF storage, ontology learning, and mashup subsystems. This platform servers a basis for developing other more sophisticated applications required in the area of knowledge big data. Moreover, this paper proposes an entity matching method using graph convolutional network techniques as a preliminary work for automatic classification and discovery on knowledge big data. Using real DBP15K and SRPRS datasets, the performance of our method is compared with some existing entity matching methods. The experimental results show that the proposed method outperforms existing methods due to its ability to increase accuracy and reduce training time.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.10
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• pp.2292-2298
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• 2010

A mashup is a web page or application that uses and combines information, contents or Open APIs available on the web to create a new service. The mashup developed by the need not combination of simple information can contribute to new added-values with practicality and convenience. Thus, in this paper, we want to develop a RIA-based dynamic mashup service for the users considering weather forecast and marine information importantly. We design and implement the system that it can register a number of information about a domain dynamically through registration process based on the map and present a mark of domain location on the map and the information including internal environment, external environment and weather of related to the domain within a webpage. Implemented service need not require a tedious process visiting other web sites every time to confirm the relevant information because we can see simultaneously related information with a map within a page.

• Journal of KIISE
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• v.44 no.9
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• pp.908-917
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• 2017

As web service technologies are widely used, there have been many efforts to develop approaches for recommending appropriate web services to users in complex and dynamic service environments. In addition, for the effective development of service mashups, service recommender systems that are specialized for service composition have been developed. However, existing service recommender systems for service mashups are not effective at recommending services in a personalized manner that reflect developers' preferences. To deal with this issue, we propose an approach that recommends services based on the similarities between mashup developers who have developed similar service mashups. The proposed approach is then evaluated by using the mashup data retrieved from ProgrammableWeb. The evaluation results clearly show that the proposed approach is an effective way of improving service recommendations compared to the traditional user-based collaborative filtering algorithm.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.7
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• pp.3182-3187
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• 2012

Business needs of companies to require smart work have been increased use of mobile services and the research for the mobile service architecture to respond to the diverse needs of business operations is required. For providing variety of mobile services, customization research for the mobile platform should be performed. Mobile service to provide integration services and device continuity should be able to integrated(Mashup) among services using open interface(Open API). This paper provides the mashup customization technique that can meet a variety of requirements by integration among such services.

• Journal of Information Management
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• v.42 no.1
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• pp.63-83
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• 2011

Mashup service provides results by query in real time and responds to users' request in dynamic. In terms of size, each of NIKH(National Institute of Korean History)'s internal Information Systems is equal to individual library system. As adapting mashup for information convergence with external resources, it was accepted for internal integrated search in the same context. This study designated NIKH OpenAPI and proposed metadata format for internal integrated search of historical contents.

• Journal of Korea Spatial Information System Society
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• v.11 no.1
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• pp.25-34
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• 2009

As the trend of the Web is changing toward 'Web 2.0', OpenAPIs, Web 2.0's core technology, are used in many web sites. In the past, services in websites are used in its own, but recently it is possible to use services in other websites by using OpenAPI. In u-GIS many vendors also can provide combined service by using OpenAPI. There are already lots of OpenAPIs and the numer of OpenAPI increases very fast. So it is difficult to find a service that we want to use, and also difficult to find services for mashup. In this paper, we developed retrieval methods for OpenAPIs and mashup capable services based on similarity. First we define the integrated service information model to cover various protocols of OpenAPI, then developed a retrieval methods based on it. By implementing system according these methods by using relational database and JSP, we prove that the system can provide an ranked result sets based on similarity, OpenAPI's integration retrieval results and mashup capable service retrieval results.