1 resultado para 291101 Environmental Engineering Modelling
em Bulgarian Digital Mathematics Library at IMI-BAS
Filtro por publicador
- Aberdeen University (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (1)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (6)
- Applied Math and Science Education Repository - Washington - USA (3)
- Aston University Research Archive (3)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (9)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (71)
- Biodiversity Heritage Library, United States (2)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (2)
- Bucknell University Digital Commons - Pensilvania - USA (17)
- Bulgarian Digital Mathematics Library at IMI-BAS (1)
- CentAUR: Central Archive University of Reading - UK (17)
- Consorci de Serveis Universitaris de Catalunya (CSUC), Spain (4)
- CORA - Cork Open Research Archive - University College Cork - Ireland (1)
- Dalarna University College Electronic Archive (5)
- Digital Commons - Michigan Tech (114)
- Digital Commons - Montana Tech (295)
- Digital Commons @ DU | University of Denver Research (1)
- Digital Commons at Florida International University (36)
- Digital Repository at Iowa State University (1)
- DigitalCommons - The University of Maine Research (1)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (4)
- DRUM (Digital Repository at the University of Maryland) (6)
- Duke University (5)
- Ecology and Society (2)
- Glasgow Theses Service (1)
- Greenwich Academic Literature Archive - UK (1)
- Instituto Politécnico de Leiria (3)
- Instituto Politécnico de Viseu (1)
- Instituto Politécnico do Porto, Portugal (3)
- Iowa Publications Online (IPO) - State Library, State of Iowa (Iowa), United States (5)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (1)
- National Center for Biotechnology Information - NCBI (1)
- Open Access Repository of Indian Theses (2)
- Publishing Network for Geoscientific & Environmental Data (30)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (1)
- ReCiL - Repositório Científico Lusófona - Grupo Lusófona, Portugal (3)
- Repositório Alice (Acesso Livre à Informação Científica da Embrapa / Repository Open Access to Scientific Information from Embrapa) (1)
- Repositório Científico da Universidade de Évora - Portugal (1)
- Repositório Institucional da Universidade de Aveiro - Portugal (2)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (35)
- Repositorio Institucional Universidad de Medellín (2)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (9)
- Scientific Open-access Literature Archive and Repository (1)
- Universidad de Alicante (1)
- Universidad Politécnica de Madrid (9)
- Universidade do Minho (3)
- Universidade Estadual Paulista "Júlio de Mesquita Filho" (UNESP) (1)
- Universidade Federal do Pará (1)
- Universidade Federal do Rio Grande do Norte (UFRN) (4)
- Universita di Parma (1)
- Universitat de Girona, Spain (2)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (1)
- Université de Lausanne, Switzerland (11)
- Université de Montréal, Canada (1)
- University of Canberra Research Repository - Australia (1)
- University of Connecticut - USA (2)
- University of Michigan (58)
- University of Queensland eSpace - Australia (155)
- University of Southampton, United Kingdom (1)
Resumo:
The aim of our work is to present solutions and a methodical support for automated techniques and procedures in domain engineering, in particular for variability modeling. Our approach is based upon Semantic Modeling concepts, for which semantic description, representation patterns and inference mechanisms are defined. Thus, model-driven techniques enriched with semantics will allow flexibility and variability in representation means, reasoning power and the required analysis depth for the identification, interpretation and adaptation of artifact properties and qualities.