Linked Open Government Data as Background Knowledge in Predicting Forest Fire

نویسندگان

  • GURUH FAJAR SHIDIK
  • AHMAD ASHARI
چکیده

Nowadays with linked open data, we can access numerous data over the world that more easily and semantically. This research focus on technique for accessing linked open government data LOGD from SPARQL Endpoint for resulting time series historical of Forest Fire data. Moreover, the data will automatically uses as background knowledge for predicting the number of forest fire and size of burn area with machine learning. By using this technique, LOGD could be used as an online background knowledge that provide time series data for predicting trend of fire disaster. In evaluation, mean square error MSE and root mean square error RMSE are used to evaluate the performance of prediction in this research. We also compare several algorithm such as Linear Regression, Neural Network and SVM in different window size.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Predicting and preparing a risk map of rangeland fires using random forest algorithms and support vector machine (Case study: Arak rangelands)

Abstract Background and objectives: Rangeland fires have devastating effects on the landscape, performance and services of rangeland ecosystems. Despite the efforts of experts, decision makers, stakeholders and government agencies in recent decades to reduce the effects of fire, its number and related economic and human losses are increasing worldwide. One of the most important measures to r...

متن کامل

Investigation of forest fire hazard areas in Golestan province based on fire risk system index (FRSI) using the technique (GIS)

Abstract  Fire in natural resources is one of the crises that causes irreparable damage to ecosystems and the environment every year. The purpose of this research is to attempt to study areas of risk aversion and to prepare a map of forest fire hazard area by integrating topographic data and other additional information from a GIS system for Golestan province. In order to carry out this resear...

متن کامل

تجزیه و تحلیل آتش‌سوزی جنگل با منشأ آب‌و‌هوایی با داده‌های ماهواره‌ای در منطقه‌ی البرز

Forest fire is one of the important problems in Iran which is caused by different factors such as human and natural factors. One of these factors is climate conditions that can be created by heat wave and special circulation of atmospheric phenomena. Occurrence of forest fire in north of Iran have different impacts on environment such as destruction of natural. According to the position of Iran...

متن کامل

Forest Fire Potential Modeling and Simulation of its Extension Using Remote Sensing Data and GIS: (A Protected Area of Arasbaran)

Forest fire models are generally used in different aspects of fire management and are helpful in understanding and prediction of fire behavior. Forest fires cause a significant damage for public property by destroying a large tract of forest.  This helps fire fighters to focus on an area with greater risk and to develop better substructure for fire fighter training and ultimately to plan fire-f...

متن کامل

Integrating fire risk into forest planning

The present thesis deals with the inclusion of fire risk considerations into forest planning in Catalonia (North-East Spain). The first part of the thesis focused on the modeling the susceptibility of different kinds of forest to fire (Studies I, II, III and IV), and the second part on the inclusion of the acquired knowledge about fire risk into forest planning systems (Studies V and VI). The m...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2014