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== Agenda ==
== Agenda ==
'''[[AlicanTüzün|Alican Tüzün]]'''
'''[[AlicanTüzün|Alican Tüzün]]''' ''Beyond Blind Spots: How Semantic Strategies Reveal Hidden Insights in the Business World''
* Abstract: Traditional analytical frameworks often struggle to capture the complexity of business ecosystems, leading to ecosystem blind spots and missed opportunities. Following a semantic approach, we introduce the Business Ecosystem Analysis & Representation (BEAR) framework to uncover these blind spots. This approach leverages domain, seed ontologies, and empirical data to construct insightful knowledge graphs and context-driven visualizations, enabling question-driven analysis. Furthermore, we applied BEAR to the wind energy ecosystem to demonstrate its value using data from 35 companies extracted from WindEnergy Hamburg 2024. Guided by codeveloped questions with industry experts from a leading manufacturer, our analysis revealed the BEAR’s ability to map organizational positioning, interdependencies, and previously hidden wind energy ecosystem supply chain dynamics. These preliminary results demonstrate BEAR’s effectiveness in unlocking deeper ecosystem understanding beyond syntactic methods, offering a scalable, semantic toolset that promises to advance strategic planning and ecosystem knowledge representation in business ecosystem analysis.


== Conference Call Information ==
== Conference Call Information ==

Revision as of 00:02, 26 March 2025

Session Track 3
Duration 1 hour
Date/Time 02 Apr 2025 16:00 GMT
9:00am PDT/12:00pm EDT
5:00pm BST/6:00pm CEST
Convener Mike Bennett

Ontology Summit 2025 Track 3

Agenda

Alican Tüzün Beyond Blind Spots: How Semantic Strategies Reveal Hidden Insights in the Business World

  • Abstract: Traditional analytical frameworks often struggle to capture the complexity of business ecosystems, leading to ecosystem blind spots and missed opportunities. Following a semantic approach, we introduce the Business Ecosystem Analysis & Representation (BEAR) framework to uncover these blind spots. This approach leverages domain, seed ontologies, and empirical data to construct insightful knowledge graphs and context-driven visualizations, enabling question-driven analysis. Furthermore, we applied BEAR to the wind energy ecosystem to demonstrate its value using data from 35 companies extracted from WindEnergy Hamburg 2024. Guided by codeveloped questions with industry experts from a leading manufacturer, our analysis revealed the BEAR’s ability to map organizational positioning, interdependencies, and previously hidden wind energy ecosystem supply chain dynamics. These preliminary results demonstrate BEAR’s effectiveness in unlocking deeper ecosystem understanding beyond syntactic methods, offering a scalable, semantic toolset that promises to advance strategic planning and ecosystem knowledge representation in business ecosystem analysis.

Conference Call Information

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ConferenceCall 2025 03 19Synthesis
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