mirror of
https://github.com/SamyRai/turash.git
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Repository Structure:
- Move files from cluttered root directory into organized structure
- Create archive/ for archived data and scraper results
- Create bugulma/ for the complete application (frontend + backend)
- Create data/ for sample datasets and reference materials
- Create docs/ for comprehensive documentation structure
- Create scripts/ for utility scripts and API tools
Backend Implementation:
- Implement 3 missing backend endpoints identified in gap analysis:
* GET /api/v1/organizations/{id}/matching/direct - Direct symbiosis matches
* GET /api/v1/users/me/organizations - User organizations
* POST /api/v1/proposals/{id}/status - Update proposal status
- Add complete proposal domain model, repository, and service layers
- Create database migration for proposals table
- Fix CLI server command registration issue
API Documentation:
- Add comprehensive proposals.md API documentation
- Update README.md with Users and Proposals API sections
- Document all request/response formats, error codes, and business rules
Code Quality:
- Follow existing Go backend architecture patterns
- Add proper error handling and validation
- Match frontend expected response schemas
- Maintain clean separation of concerns (handler -> service -> repository)
300 lines
16 KiB
Markdown
300 lines
16 KiB
Markdown
# 25. Research Literature Review
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## Overview
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This document provides a comprehensive review of academic research, industry tools, case studies, and implementation guides related to industrial symbiosis, resource matching algorithms, and digital platforms. It serves as a knowledge base for the Turash platform development and validation.
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*For the core concept and implementation approach, see [03_core_concept_resource-matching_engine.md](03_core_concept_resource-matching_engine.md)*
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---
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## Academic Research Papers
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### Industrial Symbiosis Matching Algorithms
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1. **Input-Output Matching Methodology**
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- **Source**: Chalmers University of Technology (2024)
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- **Title**: "Input-Output Matching for Industrial Symbiosis"
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- **URL**: https://research.chalmers.se/publication/531515
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- **Description**: Systematic approach to analyzing output streams (wastes/by-products) and matching them with material input requirements, emphasizing efficiency in industrial parks.
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2. **Semantic Matching and Knowledge Graphs**
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- **Source**: DigitalCirc Project (2021)
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- **Title**: "D3.6 Industrial Symbiosis - Semantic Matching and Knowledge Graphs"
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- **URL**: https://digicirc.eu/wp-content/uploads/2021/03/D3.6_Industrial-Symbiosis.pdf
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- **Description**: Utilizes algorithms to identify resources with similar characteristics using knowledge graphs to uncover hidden connections and facilitate resource exchanges.
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3. **Formal Industrial Symbiosis Opportunity Filtering (FISOF)**
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- **Source**: University of Twente (2024)
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- **Title**: "FISOF: A Formal Industrial Symbiosis Opportunity Filtering Method"
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- **URL**: https://research.utwente.nl/en/publications/fisof-a-formal-industrial-symbiosis-opportunity-filtering-method
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- **Description**: Formal approach to evaluate IS opportunities, considering operational aspects and providing decision support algorithms for ISR evaluation.
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### Agent-Based Modeling and Optimization
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4. **Spatial Agent-Based Models for Eco-Industrial Systems**
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- **Source**: arXiv (2020)
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- **Title**: "Spatial Agent-Based Models for Simulating and Optimizing Networked Eco-Industrial Systems"
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- **URL**: https://arxiv.org/abs/2003.14133
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- **Description**: Models symbiotic exchanges from macro perspective, introducing methods for modeling by-product flow between industrial actors with multi-objective optimization.
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5. **Multi-Agent Coordination Frameworks**
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- **Source**: arXiv (2020)
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- **Title**: "Multiagent Frameworks for Coordinating Industrial Symbiosis"
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- **URL**: https://arxiv.org/abs/2006.01784
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- **Description**: Formal multiagent framework coordinating collaborative industrial practices, representing ISNs as cooperative games with game-theoretic formulation.
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6. **Agent-Based Modeling Inspired by Innovation Diffusion Theory**
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- **Source**: MDPI Sustainability (2017)
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- **Title**: "Promoting the Opportunity Identification of Industrial Symbiosis: Agent-Based Modeling Inspired by Innovation Diffusion Theory"
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- **URL**: https://www.mdpi.com/2071-1050/9/5/765
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- **Description**: Simulates emergence and development of IS networks, considering knowledge, attitude, and implementation of IS synergies gradually adopted by firms.
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### Matching Algorithms and Recommender Systems
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7. **Hybrid Recommender Systems for Circular Economy**
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- **Source**: MDPI Energies (2019)
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- **Title**: "A Hybrid Recommender System to Improve Circular Economy in Industrial Symbiotic Networks"
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- **URL**: https://www.mdpi.com/1996-1073/12/18/3546
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- **Description**: Hybrid recommender system combining content-based and collaborative filtering approaches, analyzing resource properties and geographical distances.
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8. **Gale-Shapley Algorithm for Resource Matching**
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- **Source**: MDPI Sustainability (2024)
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- **Title**: "Bilateral Matching Methods with Gale-Shapley Algorithm"
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- **URL**: https://www.mdpi.com/2071-1050/15/2/1505
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- **Description**: Adapted Gale-Shapley (deferred acceptance) algorithm for resource matching in supply chains, enabling structured matching process between suppliers and demanders.
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9. **Bilateral Matching with Incomplete Data**
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- **Source**: PMC/NIH (2024)
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- **Title**: "Bilateral Matching Methods for Resource Exchange with Incomplete Data"
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- **URL**: https://pmc.ncbi.nlm.nih.gov/articles/PMC11353705
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- **Description**: Methods considering synergy effects and incomplete data, utilizing k-nearest neighbor imputation and satisfaction evaluation indices.
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### Digital Platforms and Tools
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10. **Digital Matchmaking Tools for Industrial Symbiosis**
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- **Source**: Frontiers in Chemical Engineering (2024)
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- **Title**: "Digital Tool for Identifying, Quantifying, and Optimizing Symbiotic Potential"
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- **URL**: https://www.frontiersin.org/journals/chemical-engineering/articles/10.3389/fceng.2024.1363888/full
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- **Description**: Computational algorithm that inventories available materials for recovery and matches them with material needs using agent-based modeling.
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11. **Data Requirements for Effective Matching**
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- **Source**: PMC/NIH Environmental Science and Pollution Research (2023)
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- **Title**: "Essential Data Points for Successful Synergy Identification in Industrial Symbiosis Platforms"
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- **URL**: https://pmc.ncbi.nlm.nih.gov/articles/PMC10445876
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- **Description**: Systematic review outlining critical data points including general information, inflow-outflow data, economic data, sharing practices, and platform-related information.
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12. **Requirements Engineering for Industrial Symbiosis Tools**
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- **Source**: MDPI Administrative Sciences (2020)
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- **Title**: "Requirements Engineering for Industrial Symbiosis Tools"
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- **URL**: https://www.mdpi.com/2076-3387/10/1/10
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- **Description**: Analysis toolbox, transformative knowledge, and simulation modeling for developing robust IS tools.
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### Machine Learning and AI
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13. **AI-Driven Predictive Analytics for Waste Stream Mapping**
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- **Source**: Sustainability Directory (2024)
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- **Title**: "AI-Driven Data Solution Unlocks Industrial Symbiosis Material Exchange Networks"
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- **URL**: https://news.sustainability-directory.com/circularity/ai-driven-data-solution-unlocks-industrial-symbiosis-material-exchange-networks
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- **Description**: AI models automatically map waste streams, predict potential synergies, and identify material exchange opportunities within local economies.
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14. **Machine Learning-Assisted Material Substitution**
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- **Source**: OUCI (2023)
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- **Title**: "Machine Learning-Assisted Material Substitution Using Word Vectors"
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- **URL**: https://ouci.dntb.gov.ua/en/works/9JpM0yN4
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- **Description**: ML techniques using word vectors to estimate similarity for material substitutions, reducing manual effort in compiling unstructured information.
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### Process Integration and Optimization
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15. **Process Integration Tools for Energy Exchange**
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- **Source**: PMC/NIH (2023)
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- **Title**: "Process Integration Tools in Industrial Symbiosis Networks"
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- **URL**: https://pmc.ncbi.nlm.nih.gov/articles/PMC10445876
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- **Description**: Mathematical techniques (PI tools) for designing and optimizing IS networks, focusing on minimizing resource consumption and enhancing process efficiency.
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16. **Multi-Objective Optimization with Genetic Algorithms**
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- **Source**: MDPI (2019)
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- **Title**: "Multi-Objective Optimization for Industrial Symbiosis Networks"
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- **Description**: Genetic algorithms and metaheuristic approaches for solving complex optimization problems in industrial symbiosis settings.
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### Resource Matching in Cloud Manufacturing
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17. **Resource Matching in Cloud Manufacturing Environment**
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- **Source**: MDPI Symmetry (2021)
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- **Title**: "Matching of Manufacturing Resources in Cloud Manufacturing Environment"
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- **URL**: https://www.mdpi.com/2073-8994/13/10/1970
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- **Description**: Resource matching within cloud manufacturing environments, considering processing capabilities and availability for complex matching scenarios.
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18. **Ontology-Based Resource Description Models**
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- **Source**: MDPI Electronics (2022)
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- **Title**: "Unified Resource Description Model Based on Ontology"
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- **URL**: https://www.mdpi.com/2079-9292/11/8/1187
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- **Description**: Hierarchical and modularized framework to describe design, manufacturing, and service resources uniformly, facilitating efficient resource matching.
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## Industry Tools and Platforms
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### SYNER Platform
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- **Source**: SIMBIOSY
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- **URL**: https://simbiosy.com/en/industrial-symbiosis
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- **Description**: Tool for mapping material, energy, and waste flows within a territory, facilitating identification and quantification of resources for industrial symbiosis projects.
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### Industrial Symbiosis Readiness Level (ISRL) Matrix
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- **Source**: IEA Industry
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- **URL**: https://iea-industry.org/industrial-symbiosis-readiness-level-a-practical-matrix-tool-for-guidance-and-assessment
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- **Description**: Framework for assessing and guiding IS network development, evaluating technology integration, business models, organizational structures, legal issues, and environmental benefits.
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### National Industrial Symbiosis Program (NISP)
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- **Source**: International Synergies
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- **URL**: https://international-synergies.com/what-we-do/industrial-symbiosis-facilitation
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- **Description**: Facilitated networks connecting businesses to explore mutually beneficial transactions, reducing costs and environmental footprints through facilitated industrial symbiosis.
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## Case Studies
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### Real-World Implementations
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1. **SymbioSyS (Spain)**
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- **Savings**: €2.1M cumulative savings over 3 years
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- **Participants**: 150 companies
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- **Focus**: Multi-sector industrial symbiosis facilitation
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- **Approach**: Academic/research platform with material flow analysis
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- **Key Insight**: Proven concept validation, but limited commercial scalability
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2. **Kalundborg (Denmark)**
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- **Status**: World's first industrial symbiosis park
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- **Established**: 1960s-1970s
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- **Participants**: Multiple industries (power plant, refinery, pharmaceutical, fish farm)
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- **Key Insight**: Emergent symbiosis through proximity and mutual benefit, evolved organically
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- **Research**: Extensively studied as foundational case study for IS research
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3. **DECORUM Platform (Italy)**
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- **Savings**: €500k annual savings
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- **Participants**: 50+ construction companies
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- **Focus**: Construction and demolition waste management
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- **Approach**: Unified tracking system with material certification
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- **Key Insight**: Vertical focus enables deep domain expertise
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4. **SWAN Platform (Balkans)**
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- **Savings**: €1.8M annual value generated
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- **Participants**: 200+ facilities
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- **Focus**: Solid waste reuse network across Southeast Europe
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- **Approach**: Multi-language platform with EWC waste classification
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- **Key Insight**: Cross-border cooperation and regional scope
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## Tutorials and Implementation Guides
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### Graph-Based Matching
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1. **Neo4j Graph Database Tutorials**
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- **Resource**: Neo4j Developer Documentation
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- **URL**: https://neo4j.com/docs/
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- **Relevant Topics**:
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- Graph traversal algorithms
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- Cypher query optimization
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- Relationship modeling
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- Spatial queries with Neo4j
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2. **Network Flow Algorithms**
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- **Resource**: Competitive Programming Algorithms
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- **Topics**: Max-flow min-cut, bipartite matching, Hungarian algorithm
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- **Application**: Optimal resource allocation across network
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### Optimization Methods
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3. **MILP Optimization Tutorials**
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- **Resource**: OR-Tools Documentation, Gurobi Tutorials
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- **Topics**:
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- Mixed Integer Linear Programming formulation
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- Industrial symbiosis optimization models
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- Multi-objective optimization
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- Constraint programming
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4. **Metaheuristic Algorithms**
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- **Resource**: "Metaheuristic Algorithms in Industry 4.0" (Routledge, 2021)
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- **URL**: https://www.routledge.com/Metaheuristic-Algorithms-in-Industry-40/Shah-Sekhar-Kulkarni-Siarry/p/book/9780367698409
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- **Topics**: Genetic algorithms, particle swarm optimization, simulated annealing
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### Semantic Matching and Knowledge Graphs
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5. **Knowledge Graph Construction Tutorials**
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- **Resource**: Stanford Knowledge Graph Course
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- **Topics**:
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- Ontology development
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- RDF/OWL modeling
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- Graph query languages
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- Semantic matching algorithms
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6. **Semantic Matching Techniques**
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- **Resource**: "Semantic Matching: A Survey" (ACM Computing Surveys)
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- **Topics**: Element-level matching, structure-level matching, semantic similarity
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## Digital Matchmaking Platforms
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### Research and Analysis
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1. **Digital Matchmaking for Industrial Sustainability**
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- **Source**: EE-IP (2024)
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- **URL**: https://ee-ip.org/en/article/digital-matchmaking-for-industrial-sustainability-how-knowledge-platforms-enable-circular-economy-7900
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- **Description**: Analysis of how knowledge platforms enable circular economy through digital matchmaking
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2. **Collaboration Platform Enabling Industrial Symbiosis**
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- **Source**: Warwick Research Archive (2020)
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- **Title**: "Collaboration Platform Enabling Industrial Symbiosis"
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- **URL**: https://wrap.warwick.ac.uk/id/eprint/139400/7/WRAP-collaboration-platform-enabling-industrial-symbiosis-Yeo-2020.pdf
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- **Description**: NLP pipelines for extracting information from unstructured data, building knowledge base for waste valorization pathways
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## Assessment Tools and Frameworks
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1. **Implementation Potential Assessment**
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- **Source**: MDPI Sustainability (2021)
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- **Title**: "Assessment Tool for Industrial Symbiosis Implementation"
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- **URL**: https://www.mdpi.com/2071-1050/13/3/1420
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- **Description**: Methodological approach for assessing company's potential for IS implementation, evaluating economic, geographical, and environmental characteristics
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2. **Ecological Network Perspectives**
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- **Source**: PMC/NIH (2024)
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- **Title**: "The Role of Trophic, Mutualistic, and Competitive Interactions in Industrial Symbiosis"
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- **URL**: https://pmc.ncbi.nlm.nih.gov/articles/PMC11219435
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- **Description**: Ecological network analysis providing insights into complex interactions within IS networks
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## Online Allocation and Resource Matching
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1. **Online Allocation of Reusable Resources**
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- **Source**: arXiv (2020)
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- **Title**: "Online Allocation of Reusable Resources"
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- **URL**: https://arxiv.org/abs/2002.02430
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- **Description**: Algorithms for online allocation with asymptotically optimal competitive ratios
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2. **Resource Matching Techniques for Distributed Systems**
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- **Source**: University of South Carolina
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- **Title**: "Matching Techniques for Resource Discovery in Distributed Systems"
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- **URL**: https://jmvidal.cse.sc.edu/library/castano04a.pdf
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- **Description**: Resource discovery and matching techniques in distributed computing environments
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## Additional Resources
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### State-of-the-Art Reports
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1. **State-of-the-Art Report on Industrial Symbiosis**
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- **Source**: LIAISE Action (2024)
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- **Title**: "D1.1 State-of-the-art report on Industrial Symbiosis topic and its different subareas"
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- **URL**: https://www.liaise-action.eu/wp-content/uploads/2024/11/D1.1-State-of-the-art-report-on-Industrial-Symbiosis-topic-and-its-different-subareas_v1.pdf
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- **Description**: Comprehensive review of industrial symbiosis topics, methodologies, and subareas
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### Conceptual Frameworks
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2. **Conceptual Partner Matching Frameworks**
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- **Source**: PMC/NIH (2022)
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- **Title**: "Developing a Conceptual Partner Matching Framework for Digital Green Innovation"
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- **URL**: https://pmc.ncbi.nlm.nih.gov/articles/PMC9304958
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- **Description**: Niche Field Model combined with Fuzzy VIKOR for structured partner selection
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### Waste Exchange Identification
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3. **Waste Exchange Identification and Optimization**
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- **Source**: AIS Electronic Library (2021)
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- **Title**: "Industrial Symbiosis Waste Exchange Identification and Optimization"
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- **URL**: https://aisel.aisnet.org/hicss-54/da/analytics_for_green_is/7
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- **Description**: Database framework, waste exchange identification algorithm, and optimization system for eco-industrial parks
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---
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