Arindam Dasgupta

Ontology based framework for semantic resolution of geospatial query

Increasing availability of geospatial data provides exceptional opportunities in knowledge creation and distribution. For the discovery of suitable data sources, keyword based search in the catalogue becomes inaccurate. The main reason behind this is the existing semantic heterogeneity in the database schema, deployed by different service providers. It necessitates the semantic management of the spatial catalogues. This paper presents an ontology based approach which is useful to create and manage catalogues semantically, hence resolving the semantic heterogeneity between geospatial repositories and incompatibility with spatial queries. Further, there is no standard available for semantic searching of the spatial catalogue till date. It will enhance the data extraction process by providing semantic meaning to the spatial catalogue.

A framework for mobile based geospatial public health management

With the advancement of communication technology, it is possible to integrate heterogeneous data repositories form the diverse data source. At present most of current public health information systems are lacking the support of on spot dynamic data uploading, visualization, analyzing and decision making. It is essential to integrate public health information system with the geospatial data repositories for on time integrated public health monitoring. GIS plays an important role in public health care for epidemiologic studies. But visualization of integrated public health information on the desktop environment is not sufficient to control emergency situation. With the availability of high quality mobile communication infrastructure it is possible to visualize public health geospatial the mobile device for taking decision at any time from any where. Moreover with the help of mobile device the public data repositories can be updated timely from any location. In this work, a framework has been proposed for efficient management of public health information by integrating geospatial map data with the use of mobile device.

A Geospatial Service Oriented Framework for Disaster Risk Zone Identification

Geographical mapping of disaster risk is an important task in disaster planning and preparedness. Heterogeneous data from various sources are integrated to identify regions having high probability of disasters. The nature of data and work-flow for risk assessment are however varying in nature in each scenario. In this work we propose a service oriented architecture to automate the process of disaster mapping. Open Geospatial Consortium Standards are implemented for this purpose. The framework can aid automated risk assessment under complex multi-modal disasters over large scale geospatial locations by integrating heterogeneous data sources. A Case study is presented for flood risk assessment for a coastal region in West Bengal, in Eastern India.

A Geospatial Orchestration Framework on Cloud for Processing User Queries

The demand for computing resources to process the geographical information (GI) queries has been increased drastically. The query helps the users to get the variety of information to serve their needs. Resolving the spatial queries, huge number of heterogeneous data sources along with different computing services are involved. Getting appropriate results within a specific time bound, orchestration among those data sources and web services are required. These services are available on the web and require different resource specifications in order to resolve a geospatial query. A cloud infrastructure has been utilized for scalable resource allocation. An orchestration engine has been developed to access the geospatial resources according to query requirement. In this paper, we have proposed and developed geographical data query processing framework which orchestrates spatial services according to user query in cloud environment. The empirical experimentation shows the efficiency of the proposed framework to resolve spatial queries in timely manner.

A demonstration of GeomSMS: an SMS framework for sharing geospatial features

This work presents GeomSMS as the first full-fledged SMS framework with the native support for geometric objects for sharing spatial information ubiquitously across mobile users. GeomSMS is an extension to Open GeoSMS Standard by Open GeoSpatial Consortium (OGC) that provides developers a Short Message Service (SMS) encoding for sharing only location information, namely latitude and longitude, between location based services (LBS) and applications. GeomSMS keeps the GeoSMS standard as it is, but adds support for sharing two other geometric features: line and polygon, apart from existing point feature. GeomSMS shares these features in the SMS payload without altering the GeoSMS standard. We describe the architecture of the system that utilizes the framework and demonstrates a real-life mobile application BeckonMe with one example from each of line and polygon feature.

GeoSMS framework for information acquisition in rural public health management system

A typical public health management system has a geospatial context. The public health nodal offices collect the health data from different regions for further analysis. The timeliness and correctness of the collected data is important for public health management. Web based mobile applications may be helpful but it requires constant network connectivity which is often not available in rural regions. This paper proposes a geo-aware SMS or GeoSMS based framework for acquisition of data related to public health management in rural India. This framework is able to acquire public health information along location information. Further, the health data can be integrated with other geospatial layers through enterprise-GIS. An application has been developed to show the efficacy of the proposed framework.

Geospatial orchestration framework for resolving complex user query

With the development of web based technology and availability of spatial data infrastructure, the demand for accessing geospatial information over web has increased significantly. The data sets are being accessed by standard geospatial web services. However, for complex user queries involving multiple web services, it is required to discover those services and logically compose them to deliver the intended information. In this paper, a geospatial orchestration engine has been proposed for composition geospatial web services. A rule repository has been designed within the orchestration engine by considering the basic geospatial web services. A framework has been presented to develop a complex information service which can be achieved by chaining of already existing services. The efficacy of the framework has been demonstrated through a case study.

A Technique for Assessing the Quality of Volunteered Geographic Information for Disaster Decision Making

The volunteered geographic information has been considered as a valuable source of information for disaster management. It may provide rapid essential information from the disaster area. However, this information has been generated by general people without any knowledge in spatial data concept. It is found that the quality of volunteered data have not considered for any emergency decision making. In the work, a statistical framework has been developed to validate the citizen generated spatial data for emergency decision making.

A mobile volunteered geographic information management platform for rural health informatics

The causes of the many communicable diseases have some link with the geographical locations. In the developing countries, the patient information are not often collected systemically due to lack of technological support and scarcity of health professionals. As a result, the actual causes of different community diseases are not properly investigated and it delays to take preventive actions, especially in the rural areas. In this work, a service oriented framework has been proposed for collecting the health information of the patients along with their actual geo-locations to generate the health map of the region which may help in adopting mitigation measures. A mobile application has been developed for collecting these information by the health workers or the health volunteers. The application can be tuned to provide suggestive primary treatment of the disease. The collected volunteered disease information can be analyzed with respect to that geospatial information according to guidelines of the health experts and the disease map can produced on-the-fly. The disease map helps to predict the spreading trend of a disease in the context of geospatial attributes. This may facilitate, the public health decision makers to take preventive actions to mitigate the spread of the diseases.

A geospatial framework for mapping of electromagnetic radiations

The electromagnetic radiations from the various electronic equipments, such as transmitters for broadcasting of radio/TV and mobile communication, are the major sources of electromagnetic pollution. This is creating a potential hazard for public health. This work aims at mapping the electromagnetic field over population map through open geospatial standards. This may facilitate proper management of man-made electromagnetic radiations and monitoring of public health.