From Genesis to Maturity: Managing Knowledge Graph Ecosystems Through Life Cycles

Year: 2025
Title: From Genesis to Maturity: Managing Knowledge Graph Ecosystems Through Life Cycles
Abstract: Vision paper addressing challenges in managing KGs, proposing KGE ecosystems and life cycles to systematically manage tasks like standardization, continuous updates, and provenance tracking.
Objectives: To systematically manage KGE tasks to enhance accuracy, consistency, and reliability of KGs.
Methodology: Vision paper, conceptual framework development focusing on defining KGE life cycles and actors.
Algorithm Used: N/A (Vision/Conceptual)
Top Model: Knowledge Graph Ecosystem (KGE) Life Cycle Model
Accuracy: N/A (Conceptual)
Advantages: Systematically manages creation, maintenance, and evolution; enhances accuracy, consistency, and reliability; addresses scalability of semantic operations.
Drawbacks: N/A explicitly mentioned, focuses on identifying and solving critical challenges.
Source: https://www.vldb.org/pvldb/vol18/p1390-geisler.pdf Edit

Criteria (7)

Name Description Definitions
Accuracy Ensures that knowledge graph entities and relationships accurately represent real-world facts without errors or inconsistencies.
  • Quality dimension from From Genesis to Maturity: Managing Knowledge Graph Ecosystems Through Life Cycles (2025)
  • Vision paper addressing challenges in managing KGs, proposing KGE ecosystems and life cycles to systematically …
Consistent representation In the framework "From Genesis to Maturity: Managing Knowledge Graph Ecosystems Through Life Cycles", consistent representation refers to the degree …
  • Quality dimension from From Genesis to Maturity: Managing Knowledge Graph Ecosystems Through Life Cycles (2025)
  • Vision paper addressing challenges in managing KGs, proposing KGE ecosystems and life cycles to systematically …
Timeliness Assesses whether the knowledge graph contains current information and is maintained with regular updates.
  • Quality dimension from From Genesis to Maturity: Managing Knowledge Graph Ecosystems Through Life Cycles (2025)
  • Vision paper addressing challenges in managing KGs, proposing KGE ecosystems and life cycles to systematically …
Reliability Measures the trustworthiness and dependability of knowledge graph data for decision-making and applications.
  • Quality dimension from From Genesis to Maturity: Managing Knowledge Graph Ecosystems Through Life Cycles (2025)
  • Vision paper addressing challenges in managing KGs, proposing KGE ecosystems and life cycles to systematically …
Reputation Measures the credibility and trustworthiness of knowledge graph sources and their historical reliability.
  • Quality dimension from From Genesis to Maturity: Managing Knowledge Graph Ecosystems Through Life Cycles (2025)
  • Vision paper addressing challenges in managing KGs, proposing KGE ecosystems and life cycles to systematically …
Security Evaluates protection mechanisms against unauthorized access and ensures data security in knowledge graph systems.
  • Quality dimension from From Genesis to Maturity: Managing Knowledge Graph Ecosystems Through Life Cycles (2025)
  • Vision paper addressing challenges in managing KGs, proposing KGE ecosystems and life cycles to systematically …
Scalability Assesses the knowledge graph system's capacity to scale with increasing data volume and complexity.
  • Quality dimension from From Genesis to Maturity: Managing Knowledge Graph Ecosystems Through Life Cycles (2025)
  • Vision paper addressing challenges in managing KGs, proposing KGE ecosystems and life cycles to systematically …
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