1 resultado para Anodic potentials
em SerWisS - Server für Wissenschaftliche Schriften der Fachhochschule Hannover
Filtro por publicador
- Aberdeen University (2)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (2)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (1)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (3)
- Aquatic Commons (27)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (7)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (3)
- Aston University Research Archive (14)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (11)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (15)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (1)
- Biodiversity Heritage Library, United States (1)
- Bioline International (3)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (57)
- Boston University Digital Common (1)
- Brock University, Canada (5)
- Bulgarian Digital Mathematics Library at IMI-BAS (6)
- CaltechTHESIS (3)
- Cambridge University Engineering Department Publications Database (7)
- CentAUR: Central Archive University of Reading - UK (42)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (57)
- Cochin University of Science & Technology (CUSAT), India (4)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (1)
- CORA - Cork Open Research Archive - University College Cork - Ireland (12)
- Dalarna University College Electronic Archive (2)
- Digital Commons - Montana Tech (3)
- Digital Commons @ DU | University of Denver Research (1)
- DigitalCommons@The Texas Medical Center (2)
- DigitalCommons@University of Nebraska - Lincoln (1)
- Diposit Digital de la UB - Universidade de Barcelona (4)
- Duke University (2)
- Düsseldorfer Dokumenten- und Publikationsservice (1)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (5)
- FUNDAJ - Fundação Joaquim Nabuco (1)
- Helda - Digital Repository of University of Helsinki (45)
- Indian Institute of Science - Bangalore - Índia (240)
- Instituto Politécnico do Porto, Portugal (2)
- Ministerio de Cultura, Spain (1)
- National Center for Biotechnology Information - NCBI (10)
- Nottingham eTheses (1)
- QSpace: Queen's University - Canada (1)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (28)
- Queensland University of Technology - ePrints Archive (158)
- Repositório Científico da Universidade de Évora - Portugal (1)
- Repositório Institucional da Universidade Federal do Rio Grande do Norte (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (99)
- SAPIENTIA - Universidade do Algarve - Portugal (1)
- School of Medicine, Washington University, United States (3)
- SerWisS - Server für Wissenschaftliche Schriften der Fachhochschule Hannover (1)
- Universidad de Alicante (3)
- Universidad Politécnica de Madrid (3)
- Universidade Complutense de Madrid (1)
- Universidade de Lisboa - Repositório Aberto (1)
- Universidade Estadual Paulista "Júlio de Mesquita Filho" (UNESP) (1)
- Universidade Federal do Pará (1)
- Universidade Federal do Rio Grande do Norte (UFRN) (2)
- Universitat de Girona, Spain (1)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (3)
- Université de Lausanne, Switzerland (1)
- Université de Montréal, Canada (2)
- University of Michigan (13)
- University of Queensland eSpace - Australia (8)
- University of Washington (1)
- WestminsterResearch - UK (2)
Resumo:
Regional Innovation Systems describe the relations between actors, structures and infrastructures in a region in order to stimulate innovation and regional development. For these systems the collection and organization of information is crucial. In the present paper we investigate the possibilities to extract information from websites of companies. First we describe regional innovation systems and the information types that are necessary to create them. Then we discuss the possibilities of text mining and keyword extraction techniques to extract this information from company websites. Finally, we describe a small scale experiment in which keywords related to economic sectors and commodities are extracted from the websites of over 200 companies. This experiment shows what the main challenges are for information extraction from websites for regional innovation systems.