Topic-geo mapping of disaster information using ontology | |
| Author | Rajbhandari, Ashik |
| Call Number | AIT Thesis no.RS-12-06 |
| Subject(s) | Disasters--Geographic information systems Ontology |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Remote Sensing and Geographic Information Systems , School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Series Statement | Thesis ; no. RS-12-06 |
| Abstract | In the recent times, a huge number of data is being gathered about the Ea1th observation, comprising from spatial information systems as well as new and more advanced data collection methods. Such scenario brings the challenges on how to associate geographic information of several forms from various domains along with the problem of heterogeneity. 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 number of information. Whereas, most of the info1mation remains undiscovered with improper data integration, while, the information already being discovered remain less interpretable without the implementation of data interoperability. Therefore, this study is an initiative to design a system for assessing data from the available disaster information related web portals such as news, biogs, social networking, journals, scientific data, etc. through text extraction processes with the implementation of ontology for the effective information retrieval and visualization. The system is mainly designed with the ontology development based on 146 Critical Observation Parameters and 9 Social Benefit Areas as proposed by GEO (Group on Earth Obse1vations). The developed ontology plays a major role in web extraction process by looking into related concepts as defined in the system ontology. The extracted information are further processed for concept tagging, which retrieves the entities name and geo tags, and finally maintained into index database as field name-value pairs. The ontology is also updated at the same time from the extracted information defining fmt her concepts relations. Before the user queries are passed to search into index, the query is manipulated by the system based on developed ontology. The query is rebuilt into an advanced form adding possible concept relations to the respective query terms. In conclusion, the user request is finally searched into the index and the data are retrieved as response which is viewed in visualization forms of integrated data view, map view or onto-graph view. The system is basically proposed for providing disaster information. However, the definition of other areas of critical observations maintained in the system ontology makes it as an efficient system that can be implemented for data retrieval of other domains of interest as well. |
| Year | 2012 |
| Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. RS-12-06 |
| Type | Thesis |
| School | School of Engineering and Technology (SET) |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Remote Sensing (RS) |
| Chairperson(s) | Nagai, Masahiko; |
| Examination Committee(s) | Tripathi, Nitin K. ;Vilas Wuwongse; |
| Scholarship Donor(s) | Asian Institute of Technology Fellowship; |
| Degree | Thesis (M. Eng.) - Asian Institute of Technology, 2012 |