Crossing the digital divide: an interoperable solution for sharing time series and coverages in Earth sciences
| Autor: | David R. Maidment, F. Salas, Enrico Boldrini, Ben Domenico, Stefano Nativi |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2012 |
| Předmět: |
010504 meteorology & atmospheric sciences
Computer science 0207 environmental engineering 02 engineering and technology computer.software_genre 01 natural sciences Data type Information science lcsh:TD1-1066 Server lcsh:Environmental technology. Sanitary engineering 020701 environmental engineering Digital divide Implementation lcsh:Environmental sciences 0105 earth and related environmental sciences lcsh:GE1-350 business.industry lcsh:QE1-996.5 lcsh:Geography. Anthropology. Recreation Data science lcsh:Geology Disparate system lcsh:G General Earth and Planetary Sciences The Internet Web service business computer |
| Zdroj: | Natural hazards and earth system sciences 12 (2012): 3013–3029. doi:10.5194/nhess-12-3013-2012 info:cnr-pdr/source/autori:F. R. Salas; E. Boldrini; D. R. Maidment; S. Nativi; and B. Domenico/titolo:Crossing the digital divide: an interoperable solution for sharing time series and coverages in Earth sciences/doi:10.5194%2Fnhess-12-3013-2012/rivista:Natural hazards and earth system sciences (Print)/anno:2012/pagina_da:3013/pagina_a:3029/intervallo_pagine:3013–3029/volume:12 Natural Hazards and Earth System Sciences, Vol 12, Iss 10, Pp 3013-3029 (2012) |
| ISSN: | 1684-9981 |
| Popis: | In a world driven by the Internet and the readily accessible information it provides, there exists a high demand to easily discover and collect vast amounts of data available over several scientific domains and numerous data types. To add to the complexity, data is not only available through a plethora of data sources within disparate systems but also represents differing scales of space and time. One clear divide that exists in the world of information science and technology is the disjoint relationship between hydrologic and atmospheric science information. These worlds have long been split between observed time series at discrete geographical features in hydrologic science and modeled or remotely sensed coverages or grids over continuous space and time domains in atmospheric science. As more information becomes widely available through the Web, data are being served and published as Web services using standardized implementations and encodings. This paper illustrates a framework that utilizes Sensor Observation Services, Web Feature Services, Web Coverage Services, Catalog Services for the Web and GI-cat Services to index and discover data offered through different classes of information. This services infrastructure supports multiple servers of time series and gridded information, which can be searched through multiple portals, using a common set of time, space and concept query filters. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|