Atmospheric Pollution Dr. Manish Semwal GMIS. Concept of Atmospheric Pollution.
Institute for Atmospheric Pollution – Environmental Terminology Unit
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Institute for Atmospheric Pollution – Environmental Terminology Unit Consiglio Nazionale delle Ricerche Environmental Thesaurus/Terminology Workshop UNEP Regional Office of Europe Geneva, April 14 th – 15 th EARTh Environmental Applications Reference Thesaurus A proposal for a new environmental thesaurus model Paolo PLINI, Fulvio MAZZOCCHI CNR - Environmental Terminology Unit UNEP Workshop - Geneva, April 14 th – 15 th
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Environmental Thesaurus/Terminology Workshop UNEP Regional Office of Europe Geneva, April 14 th – 15 th. Consiglio Nazionale delle Ricerche. Institute for Atmospheric Pollution – Environmental Terminology Unit. EARTh E nvironmental A pplications R eference Th esaurus A proposal for a new - PowerPoint PPT Presentation
Transcript of Institute for Atmospheric Pollution – Environmental Terminology Unit
Institute for Atmospheric Pollution – Environmental Terminology Unit
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Environmental Thesaurus/Terminology Workshop UNEP Regional Office of Europe
Geneva, April 14th – 15th
EARThEnvironmental Applications Reference Thesaurus
A proposal for a newenvironmental thesaurus model
Paolo PLINI, Fulvio MAZZOCCHICNR - Environmental Terminology Unit
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Institute for Atmospheric Pollution – Environmental Terminology Unit
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About us
• The Environmental Terminology Unit (UTA) is a research unit of the Institute for Atmospheric Pollution of CNR, the Italian National Research Council
• The Unit is active since 1987 in the field of the Environmental Knowledge Organization, Terminology and Thesauri. It was involved in the development of EnVoc (UNEP, 1997) and GEMET (EEA, 1999)
• The group is characterized by a interdisciplinary approach to environmental issues
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Some Premises
Some intrinsic and/or contingent weakness of traditional thesauri are emerging and are represented by:
Weak conceptualisation; Structure too rigid or oriented to a single specific application; Limited differentiation of relations; Improvable semantic control; Improvable optimisation of the coverage; Limited usability in Artificial Intelligence environment …
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The information environment is rapidly changing due to: Internet and its requirements; Data sharing and interoperability issues; Enlargement of information usership; Artificial Intelligence opportunities …
Traditional thesauri present problems in satisfying all the requirements posed by the new information context.
Thesauri have been developed mainly in library environment International Standards were produced more than 15 years ago.
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We are working on a new thesaurus model to be applied in the environmental domain.
The thesaurus should:
The Vision
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ensure the porting of the thesaurus into different technological applications.
be able to represent a semantic mapping of the environmental domain and to ensure an optimal conceptual coverage;
allow different levels of comprehensibility and applicability for users with different expertise;
be able to combine the search of stable logical and conceptual basis with a flexibility towards different applications;
be based on the awareness of the cultural dimension of knowledge organization;
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– Software Delphi, SQL, Unicode, Client/Server Separate presentation
EARTh Architecture
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– Thesaurus Relations– Differentiation and better semantic expression of relations
– Increased Semantic Control
– Thesaurus Content– Optimised coverage
– Updated conceptual and terminological content
– Classification System– Based on Categories
– Faceted structure
– Thematic set-up to be developed for applications
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EARTh Classification Scheme
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The Classification Scheme of EARTh is based on categories.
Categorial approach ensure:
-stable conceptual basis for knowledge organization,
-a tool to classify concepts starting from their most basic meaning, as referred to by the logic inherent to the system,
-a stronger control over semantic arrangement,
-top level applicability to different domains, enhancing interdisciplinarity.
EARTh first and second level categories
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EARTh Matrix Classification - 1
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Faceted structure
The faceted structure of EARTh is based on different classification levels.
The hierarchical arrangement completes the vertical structure of the Thesaurus.
Node labels will indicate the use of different subdivision criteria in generic hierarchical relations.
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EARTh Matrix Classification - 2
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Themes to be developed for applications
The model envisages that the faceted structure may be complemented by a system of themes.
Although CNR is developing an operational proposal, different thematic systems should be developed according to the specific needs of users.
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EARTh RelationsWe are working to refine the relation arrangement. Each relation will be further differentiated into subtypes according to their semantic content.
Differentiation of Partitive Relations (example from “A Taxonomy of Part-Whole Relations”, Westhoff et al., 1987)
Integral object – componentCollection – member Mass – portion Stuff – objectActivity – featureArea – place
Synonyms and lexical variants are being distinguished.
The extended arrangement of relations will support better semantic control, conceptual navigation and automated processing.
Increasing and specifying associative relations will better represent the conceptual interconnections of the domain, complementing the hierarchical structure.
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EARTh Content
The conceptual and terminological coverage is being optimised in order to represent a sound semantic map of the domain.
The thesaurus content is being updated in order to follow the evolution of knowledge and of domain language.
EARTh term base is represented by the selection made within the following sources:
– GEMET (1999)
– UN Environment and Development (1992)
– Italian Thesaurus of Earth Sciences (2000)
– Inland Water terminology (2001)
– Snow and Ice Terminology (2003)
– Remote Sensing Terminology (2004)
– Emergency Management Terms Thesaurus (1998/2003)
– other reference documents in specific fields or concerning contemporary science (chaos theory, complexity) or related to biocultural diversity issue.
The terminological base is now approx. 20.000 terms.
At present, EARTh contains about 7.000 already selected and arranged.
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Thank you for your attention!
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http://uta.iia.cnr.it [email protected] +39 06 90672 712 +39 06 90672 660
Paolo Plini, Fulvio Mazzocchi, Mario Palmera, Valentina De Santis, Bruno Felluga 2, Sandra Lucke 2, Sabina Di Franco 2
2 CNR-IIA consultant
An EARTh Prototype Version should be presented in Rome in Dec. 2004
