Linked data for air pollution monitoring

Abstract

Linked data is a part of semantic web technology better known as web version 3. Semantic web has a very different concept with previous web version. With semantic web, data can be connected with a special relationship and form meaning. This is done semantic web using the concept of triples and data represented by graphs. The benefit of linked data is the ability to exchange data and provide related information. Air pollution is a problem of every country in the world. High levels of pollution will make health decline and mortality will increase. There are still many people who are less concerned about their environmental conditions. Although some sensors are already installed, but it is only give numbers only and the data come one source. To enrich air pollution information from various sources, this paper uses linked data concept and web semantic technology to extract the sensor data from aqicn.org and DBPedia. The results of experiment show that linked data technology can connect the environmental information from various sources more feasible and meaningful.