scholarly journals Analysis of Utilization of Biological Resources Using Text Mining Based on Freshwater Biodiversity Information Platform

2019 ◽  
Vol 3 ◽  
Author(s):  
Ji-Hae Lee ◽  
Ye-seul Kwan ◽  
Jungwook Park ◽  
Sang Myeon Park ◽  
Jeong Su Oh
Keyword(s):  
Information System ◽  
Big Data ◽  
Text Mining ◽  
Management System ◽  
Biological Diversity ◽  
Comprehensive Analysis ◽  
Freshwater Biodiversity ◽  
Information Platform ◽  
Biological Resources ◽  
Biodiversity Information

The Nagoya Protocol on access to genetic resources and fair and equitable sharing of benefits arising from their utilization in the convention on biological diversity entered into force on October 12, 2014. Accordingly, attention toward securing the sovereignty and discovering the utilization value of biological resources has been increasing to secure national competitiveness. We are developing a freshwater biodiversity information platform for the systematic conservation and industrialization of freshwater biodiversity in South Korea. The platform comprises an integrated management system of freshwater bioresources for systematic registration and management of freshwater biodiversity information based on databases; a management system of storage for managing freshwater biological specimen; a utilization information system that manages efficacy, experimental method, and activity produced by the Nakdonggang National Institute of Biological Resources and external big data such as literature and patent; and a freshwater bioresources culture collection for preservation, ordering and deposition of biological resources. These systems are connected organically. Text mining, one of the big data technologies, helps to determine the utility of biological resources through comprehensive analysis. We tried to establish utilization foundations by predicting the usability of biological resources through systematic collection, processing, and analyzing external data, such as abstract, in order to support industrialization of national freshwater bioresources. Through text mining, we constructed a literature-based corpus and preprocessed the corpus with lowercase conversion and removal of stop word. Then, a word cloud was created and statistical analysis was performed. As a result, genes and diseases associated with specific biological resources have been identified. In this study, through a comprehensive analysis of species, genes, and disease information using text mining, we were able to determine the utilization value of biological resources. This study will help the freshwater biodiversity researchers by adding a function for utilization analysis in the utilization information system of the platform in the future.

Employee Management System of Graduates Based on SOA

2011 ◽  
Vol 71-78 ◽  
pp. 4341-4344
Author(s):  
Jin Wei Tu
Keyword(s):  
Information System ◽  
Management Information System ◽  
Management System ◽  
The Internet ◽  
Management Information ◽  
Local Management ◽  
Information Platform ◽  
Development Status ◽  
Internet Information

The paper analyzes the development status of colleges, the actual problems the graduates meet in the course employment, and the design goals and principles of employee management system. SOA employee management system was designed which based on the above conditions. The system maximizes the information shared with other systems through the implementation of the SOA system. And the system manages the information of graduates efficiently through the internet information platform of local management information system.

scholarly journals Freshwater Biodiversity Platform (FBP): an Integrated Information Management System of Freshwater Ecosystem for the Conservation and Sustainable Use of Biodiversity

2018 ◽  
Vol 2 ◽  
pp. e26490
Author(s):  
Ye-seul Kwan ◽  
Gi Cheol Lee ◽  
Sang Myeon Park ◽  
Ji Hae Lee ◽  
Jeong Su Oh
Keyword(s):  
South Korea ◽  
Management System ◽  
Sustainable Use ◽  
Information Management System ◽  
Freshwater Ecosystem ◽  
Freshwater Species ◽  
Freshwater Biodiversity ◽  
Biodiversity Data ◽  
Biological Resources ◽  
Integrated Information

Since the Nagoya Protocol on Access to genetic resources and Benefit Sharing (ABS) came into force in 2014, the conservation and assurance of national biodiversity has been internationally stressed. The Government of South Korea is exercising significant efforts to integrate and manage the information pertaining to biological resources in line with this global trend. However, connecting and sharing biodiversity data has certain challenges because the existing databases and information systems are being operated using different standards. In the present study, we established an integrated management system for freshwater biodiversity information, the Freshwater Biodiversity Platform (FBP), to support the conservation and sustainable use of biodiversity. This platform allows the management of various types of biodiversity data, such as occurrences, habitats and genetics, for freshwater species inhabiting South Korea. The data fields are based on a global biodiversity data standard, Darwin Core, and national biodiversity standards of South Korea in order to share our data more efficiently, both nationally and internationally. It is important to note that the platform deals with information related to the utilization of biological resources as well as information representing the national biodiversity. We have collected bibliographical data, such as papers and patents, from databases, including information on the use of biological resources. The data have been refined by applying a national species list of South Korea and ontology terms in (MeSH) to compile valuable information for biological industries. Furthermore, our platform is open source and is compatible with multiple language packs to facilitate the availability of biodiversity data for other countries and institutions. Currently, the Freshwater Biodiversity Platform is being used to collect and standardize various types of existing freshwater biodiversity data to build foundations for data management. Based on these data, we will improve the platform by adding new systems that can analyze and release data for public access. This platform will provide integrated information on freshwater species from the Korean Peninsula to the world and contribute to the conservation and sustainable use of biological resources.

scholarly journals Biodiversity Information System for Management of Medicinal Plants Data Tropical Rainforest Borneo

2018 ◽  
Vol 7 (4.44) ◽  
pp. 31
Author(s):  
Joan Angelina Widians ◽  
Masna Wati ◽  
Andi Tejawati ◽  
Edy Budiman
Keyword(s):  
Information System ◽  
Knowledge Management ◽  
Medicinal Plants ◽  
Information Society ◽  
Tropical Rainforest ◽  
Biological Diversity ◽  
High Rate ◽  
Exchange Information ◽  
Computer Based ◽  
Biodiversity Information

This paper is an effort to inform about the potential of medicinal plants in forest areas in the Borneo region. Given the high rate of destruction of rainforests on Borneo, literacy and conservation efforts of medicinal plants that are part of the forest ecosystem are important. This study developed BBIS, namely Borneo Biodiversity Information System. BBIS is the development of computer-based technology for managing information on Borneo's natural resource biodiversity in order to improve the knowledge management of medicinal plants. In particular, development of the Biodiversity Information System which can be used as an exploring media for exchange information society on Borneo's biodiversity. Profile biodiversity complete and well managed will be a reference in the process of monitoring the use of biological diversity, strategies, and plans related to the biodiversity of the medicinal plants on Borneo Island.  

Offen, kreativ und kollaborativ, dazu noch kritisch? : Zwei koreanische Beispiele von ,Digital Humanities‘

2020 ◽  
Vol 52 (1) ◽  
pp. 91-98
Author(s):  
Von Yun-Young Choi
Keyword(s):  
Data Mining ◽  
Information System ◽  
Big Data ◽  
Geographic Information System ◽  
Text Mining ◽  
Digital Humanities ◽  
Open Data ◽  
Geographic Information ◽  
Linked Open Data

Unter dem Begriff ,Digital Humanities‘ versteht man die Erforschung und Ausbildung der Geisteswissenschaften und das damit verbundene neuartige Schaffen von Texten mithilfe neuester Informationstechnologien.1 Digital Humanities umfassen nicht nur digitale Arbeitsinstrumente, sondern auch deren stellvertretende Bereiche, Datenbanken, Linked Open Data (LOD), Geographic Information System (GIS), Informationsvisualisierung oder Ontologie, Big Data oder Data Mining, Text Mining oder elektronische Kulturatlanten, sowie deren Didaktik. Der Begriff ,Digital Humanities‘ umfasst nicht nur die Digitalisierung von Texten, sondern auch die Verwendung der digitalen Technologien innerhalb der Geisteswissenschaften und weithin die Reflexion über die Technologie selbst. Wenn man von Digital Humanities spricht, stellt man sich oft digitale Datenbanken vor. Den Anfang machte der Index Thomisticus, eine Lemmatisierung sämtlicher Texte von Sankt Aquinas, die von Priester Roberto Busa (1913–2011) in Italien entwickelt wurde.2 Dieser Vorreiter der Digital Humanities hatte bereits im Jahre 1946 mit IBM eine großangelegte Datenbank geplant. Der Aufbau der Texte in 56 Bänden dauerte ca. 30 Jahre. 1989 wurden die Ergebnisse in CD-Form und ab 2004 im Internet (Corpus Thomisticum) veröffentlicht.3 Wie man an diesem Beispiel sieht, gewinnt man durch die Digitalisierung von Texten neue und breitere Verfügungs- und Verarbeitungskapazitäten. Man kann maschinell lesbare Texte speichern und diese auch auf und für verschiedene Weisen nutzbar machen, z. B. anhand von Suchmaschinen, Stichwortsuchen oder Häufigkeitsuntersuchungen.

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