In the recent times, there is a huge amount of data gathered about the Earth observation in case of disaster, not only from satellite observation but also from various data sources such as ground observation station, social network service (SNS), etc. One of such data collection techniques is Remote Sensing, which is also an essential part of interest for quality research works. There can be various study areas covered under the Space Technology such as Disaster, Astronomy, Remote Sensing, Geographic Information Systems, etc. In this case, data related to space technology alone may not be a sufficient resource every time. For example, the information collected from social data may be required to collaborate with space-based data/metadata to design an informative system. Therefore, there is a high necessity of data interoperability, which incorporates data from wide range of information along with space-based data, such as remote sensing and GPS. This scenario leads to challenges how to integrate geographic information of different forms from various domains along with the problem of heterogeneity. At the same time, the other challenges include standardizing spatial syntax and formalizing spatial semantics. With such excessive information, it is very difficult for the users to identify and extract the effective amount of information. Therefore, this study is an initiative to design a system specially focusing on disaster domain for accessing data from both space technology data sources and other available disaster related web portals (news, blogs, etc.) through text extraction processes implementing ontology for the effective information retrieval and visualization.