Constructing a Site for Publishing Open Data of the Ministry of Economy, Trade, and Industry

Asano, Yu; Koide, Seiji; Iwayama, Makoto; Kato, Fumitoshi; Kobayashi, Iwao; Mima, Tadashi; Ohmukai, Ikki; Takeda, Hideaki

doi:10.1007/s00354-016-0403-y

Cited by 3 publications

(4 citation statements)

References 3 publications

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“…This research proposed two site designs for share and published data, including Linked Open Data (LOD) searching and data directory site. The first feature provides users with searching capability for LOD, and the second feature offers a data catalog display that could be customized by the needs of the institution [9]. This research is extended by Matsuda et al (2018), who proposed the Japanese Statistic Centre that published approximately 1.3 billion triples.…”

Section: Open Data Warehousementioning

confidence: 95%

Open Spatiotemporal Data Warehouse for Agriculture Production Analytics

Wisnubhadra¹,

Baharin²,

Suryana³

2020

IJIES

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Business Intelligence (BI) technology with Extract, Transform, and Loading process, Data Warehouse, and OLAP have demonstrated the ability of information and knowledge generation for supporting decision making. In the last decade, the advancement of the Web 2.0 technology is improving the accessibility of web of data across the cloud. Linked Open Data, Linked Open Statistical Data, and Open Government Data is increasing massively, creating a more significant computer-recognizable data available for sharing. In agricultural production analytics, data resources with high availability and accessibility is a primary requirement. However, today’s data accessibility for production analytics is limited in the 2 or 3-stars open data format and rarely has attributes for spatiotemporal analytics. The new data warehouse concept has a new approach to combine the openness of data resources with mobility or spatiotemporal data in nature. This new approach could help the decision-makers to use external data to make a crucial decision more intuitive and flexible. This paper proposed the development of a spatiotemporal data warehouse with an integration process using service-oriented architecture and open data sources. The data sources are originating from the Village and Rural Area Information System (SIDeKa) that capture the agricultural production transaction in a daily manner. This paper also describes the way to spatiotemporal analytics for agricultural production using a new spatiotemporal data warehouse approach. The experiment results, by executing six relevant spatiotemporal query samples on DW with fact table contains 324096 tuples with temporal integer/float for each tuple, 4495 tuples of field dimension with geographic data as polygons, 80 tuples of village dimension, dozens of tuples of the district, subdistrict, province dimensions. The DW time dimension contains 3653 tuples representing a date for ten years, proved that this new approach has a convenient, simple model, and expressive performance for supporting executive to make decisions on agriculture production analytics based on spatiotemporal data. This research also underlines the prospects for scaling and nurturing the spatiotemporal data warehouse initiative.

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Section: Open Data Warehousementioning

confidence: 95%

Open Spatiotemporal Data Warehouse for Agriculture Production Analytics

Wisnubhadra¹,

Baharin²,

Suryana³

2020

IJIES

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“…Automated: This method is applied by measuring quantitative features of website with the help of weblog data such as page views, clicks and bounce rates with the help of automated software [29,50,51]. However, evaluators can also examine the HTML (Hyper Text Markup Language) code to track down the presence of certain features such as search engine, sitemap, number of images, number of hyperlinks, multimedia elements with the help of coding of algorithms [1,18,27,28,50,52].…”

Section: Evaluation Methodsmentioning

confidence: 99%

“…However, there can be minor bias due to experts' decisions during determination of weighing criteria for domains of websites. Various researchers [1,29,[50][51][52] have evaluated the websites using web mining on web logs. These studies can be experimented only when websites are available to users, i.e., after deployment.…”

Section: Validation Of the Frameworkmentioning

confidence: 99%

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A fuzzy-based framework for evaluation of website design quality index

Sandeep

Gupta²

2020

Int J Digit Libr

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An unrecognized significance of the web acts as a driving force for the massive and rapid growth of websites in each domain of social life. For making a successful website, it is necessary for developers to embrace appropriate web testing and evaluation methodology. Some valuable works in the past have striven to appraise the web applications quantitatively. Various parameters have been considered which are again sub-parameterized to measurable indicators. But their weighing criterion has not been appropriately taken into account according to the domain of the website. Also, the relative degrees of interactions among parameters have not been taken into consideration. The work presented in this paper aims at describing a framework, Quality Index Evaluation Method to gauge the design quality of a website in the form of index value. An automated tool has been designed and coded to measure the metrics quantitatively. A weighing technique based on Fuzzy-DEMATEL (Decision Making Trial and Evaluation Laboratory Method) has been applied on these metrics. Fuzzy trapezoidal numbers have been used for assessment of parameters and the final design quality index value. To verify the use of framework in different website domains, it has been exercised on eight academic (four institutional and four digital libraries), five informative and four commercial websites. The results have been validated through the most widely used method in literature, i.e., user judgment. Opinions of users for each website have been quantified and aggregated with fuzzy aggregation technique. Experimental results show that the proposed framework provides accurate and consistent results in very less time.

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