| Type of Material: | Thesis |
| Title: | Study of Uncertainty or Error propagation during heterogeneous data integration |
| Researcher: | Nagamani Maddipatla |
| Guide: | Mruthyunjaya Reddy K, Vidyavathi S |
| Department: | Faculty of Spatial Information Technology |
| Publisher: | Jawaharlal Nehru Technological University, Hyderabad |
| Place: | Hyderabad |
| Year: | 2016 |
| Language: | English |
| Subject: | Computer Science | Engineering and Technology | Geographical Information Systems (GIS) | Remote Sensing | Spatial data | Computer Science and Information Technology | Engineering and Technology |
| Dissertation/Thesis Note: | PhD; Faculty of Spatial Information Technology, Jawaharlal Nehru Technological University, Hyderabad, Hyderabad; 2016 |
| Fulltext: | Shodhganga |
| 000 | 00000ntm a2200000ua 4500 | |
| 001 | 454271 | |
| 003 | IN-AhILN | |
| 005 | 2024-07-31 17:54:22 | |
| 008 | __ | 240731t2016||||ii#||||g|m||||||||||eng|| |
| 035 | __ | |a(IN-AhILN)th_454271 |
| 040 | __ | |aJNTU_500028|dIN-AhILN |
| 041 | __ | |aeng |
| 100 | __ | |aNagamani Maddipatla|eResearcher |
| 110 | __ | |aFaculty of Spatial Information Technology|bJawaharlal Nehru Technological University, Hyderabad|dHyderabad|ein|0U-0017 |
| 245 | __ | |aStudy of Uncertainty or Error propagation during heterogeneous data integration |
| 260 | __ | |aHyderabad|bJawaharlal Nehru Technological University, Hyderabad|c2016 |
| 300 | __ | |a251p.|dDVD |
| 502 | __ | |cFaculty of Spatial Information Technology, Jawaharlal Nehru Technological University, Hyderabad, Hyderabad|d2016|bPhD |
| 518 | __ | |dApril 2016|oDate of Award |
| 518 | __ | |oDate of Registration|d2011-01-01 |
| 520 | __ | |aSpatial data interoperability, as the central issue of Geographic Information Science: has received considerable attention in the recent years. Numerous Geographical Information Systems (GIS) interoperability research projects and initiatives have addressed the issues of format and representational heterogeneity across spatial datasets, spatial metadata (supporting data ) integration, spatial data interchange standards, organization of spatial data infrastructure nodes, data quality etc. Spatial data quality has been recognized as an important factor in GIS and studied in data modeling for many environmental, natural resources census and other related branches. While many solutions have emerged for handling syntactic and structural differences across spatial data sources, additional types of heterogeneity have received less attention. Driven by both practical challenges and trends in computing, the focus of spatial data integration research is moving to specific models and technologies of seamless, automati |
| 650 | __ | |aComputer Science and Information Technology|2UGC |
| 650 | __ | |aEngineering and Technology|2AIU |
| 653 | __ | |aComputer Science |
| 653 | __ | |aEngineering and Technology |
| 653 | __ | |aGeographical Information Systems (GIS) |
| 653 | __ | |aRemote Sensing |
| 653 | __ | |aSpatial data |
| 700 | __ | |eGuide|aMruthyunjaya Reddy K, Vidyavathi S |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/292962|yShodhganga |
| 905 | __ | |afromsg |
User Feedback Comes Under This section.