Social Semantic Web Framework for Industrial Synergies Initiation
Bibliographic Data
| ID | 19469415 |
|---|---|
| Authors | Mohamed Raouf Ghali (0000-0003-1287-6934, Polytechnique Montréal, corresponding author), Jean‐Marc Frayret (0000-0001-6469-3617, Polytechnique Montréal) |
| Year | 2019 |
| Volume | 23 |
| Issue | 3 |
| Pages | 726-738 |
| Publication date | 2019-06-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Industrial Ecology (JOURNAL) |
| Journal identifiers | ISSN: 1088-1980 • E-ISSN: 1530-9290 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1111/jiec.12814 |
| OpenAlex | W2893976065 |
| Language | EN |
| Citations received | 3 |
| References cited | 32 |
Industrial synergies join two or more organizations that initially functioned as independent economic actors—that may originate from different sectors—together in order to share resources and exchange by‐products for mutual environmental, financial, and social benefits for its participants. Industrial symbioses (ISs) are networks of industrial synergies that can be initiated and created over time in various manners. In practice, the initiation of an industrial synergy, and particularly the identification of by‐product compatibilities, relies on direct or facilitated knowledge and information sharing, which is essential for discovering industrial synergy opportunities. Beyond its potential contribution to facilitate knowledge and information sharing among organizations, the Social Semantic Web (SSW) also has the potential to facilitate the initiation of industrial synergy by systematically and automatically identifying and recommending by‐products exchange compatibilities to potential partners. This framework exploits the ability of the sematic web to enable the search for analogies between potential partners within a region or district and existing industrial synergies around the world. This paper proposes the Social Semantic Web for Industrial Synergies Initiation (SSWISI) framework for the initiation of industrial synergies, which is based on the Social Semantic Web. The framework proposed in this paper adopts the concept of Linked Open Data (LOD), which enables the sharing and exchanging of information with external systems. This feature distinguishes the proposed framework from the existing approaches in its initiation of industrial synergies
Business · Data science · Exploit · Industrial ecology · Industrial Symbiosis · Information exchange · Information sharing · Knowledge management · Semantic Web · Social Semantic Web · Sustainability · Web resource · World Wide Web · Business Process Modeling and Analysis · Computer Science · Engineering · Innovation and Knowledge Management · Sustainable Industrial Ecology
Linked Data - The Story So Far
Toward principles for the design of ontologies used for knowledge sharing?
The Semantic Web
Organizational Perspectives of Industrial Symbiosis
Industrial Ecology 2.0
Information and Communication Technology for Industrial Symbiosis
The Resilience of Interdependent Industrial Symbiosis Networks
Emerging Implications of Open and Linked Data for Knowledge Sharing in Development
| Citations per year | 0.43 |
|---|---|
| Citation span | 2019 - 2022 (4) |
| Highly cited | No |