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Ontolog Forum

 
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* 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.
* 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.
* [https://ontologforum.s3.us-east-1.amazonaws.com/OntologySummit2025/Track-3/BusinessEcosystems--AlicanTuzun_20250402.pdf Slides]
* [https://ontologforum.s3.us-east-1.amazonaws.com/OntologySummit2025/Track-3/BusinessEcosystems--AlicanTuzun_20250402.pdf Slides]
* [https://ontologforum.s3.us-east-1.amazonaws.com/OntologySummit2025/Track-3/BusinessEcosystems--AlicanTuzun_20250402.mp4 Video Recording]
* [https://youtu.be/dLX1Su-sngY YouTube Video]


== Conference Call Information ==
== Conference Call Information ==
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{{:OntologySummit2025/ConferenceCallInformation}}
{{:OntologySummit2025/ConferenceCallInformation}}


== Participants ==
12:13 From Ravi Sharma: What is a good view intra inter or federated enterprise for survival?<br/>
12:23 From Ravi Sharma: Energy flow is like a process driven industry similar to conveyor belt type plants?<br/>
12:24 From Ravi Sharma: How can you leverage Enterprise Architecture?<br/>
12:35 From Ravi Sharma: Is it more that mereology?


== Discussion ==
12:38 From TS: Can you describe the ‘script’ that was used to derive the relations (as shown in the demo)?
 
12:42 From Alan Michaels: Thank you, Alican!
 
12:47 From TS: Gary, did you mean ‘respond to’, instead of ‘predict’?
 
12:54 From Paul Tyson: Can you describe "emergent" KGs as a function, f(KG1,KG2,...KGn) = KGnew. Then the problem is how to define and implement the transformation function. Could be reduced to SPARQL CONSTRUCT or RIF production rules.<br/>
12:57 From Paul Tyson: I agree that using bespoke models/ontologies will give better results. This is usually more costly than reusing standard work.
 
12:57 From Gary Berg-Cross: It is ontological because of the use  of semantic relations that deduce/show some of the inferred relations.
 
12:57 From TS: Janet, Whether to base work on a foundational ontology can depend on how long the ‘work’ will be used. The longer expected ‘life’, the more a Foundational ontology should be used.<br/>
13:00 From Mike Bennett: Reacted to "Janet, whether to ba..." with 👍


== Resources ==
== Resources ==
* [https://ontologforum.s3.us-east-1.amazonaws.com/OntologySummit2025/Track-3/BEAR-Framework--AlicanTuzun-et-al.pdf BEAR Framework]
* [https://ontologforum.s3.us-east-1.amazonaws.com/OntologySummit2025/Track-3/BEAR-Framework--AlicanTuzun-et-al.pdf BEAR Framework]
* [https://ontologforum.s3.us-east-1.amazonaws.com/OntologySummit2025/Track-3/BusinessEcosystems--AlicanTuzun_20250402.pdf Slides]
* [https://ontologforum.s3.us-east-1.amazonaws.com/OntologySummit2025/Track-3/BusinessEcosystems--AlicanTuzun_20250402.mp4 Video Recording]
* [https://youtu.be/dLX1Su-sngY YouTube Video]


== Previous Meetings ==
== Previous Meetings ==

Latest revision as of 00:34, 8 April 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.
  • Slides
  • Video Recording
  • YouTube Video

Conference Call Information

12:13 From Ravi Sharma: What is a good view intra inter or federated enterprise for survival?
12:23 From Ravi Sharma: Energy flow is like a process driven industry similar to conveyor belt type plants?
12:24 From Ravi Sharma: How can you leverage Enterprise Architecture?
12:35 From Ravi Sharma: Is it more that mereology?

12:38 From TS: Can you describe the ‘script’ that was used to derive the relations (as shown in the demo)?

12:42 From Alan Michaels: Thank you, Alican!

12:47 From TS: Gary, did you mean ‘respond to’, instead of ‘predict’?

12:54 From Paul Tyson: Can you describe "emergent" KGs as a function, f(KG1,KG2,...KGn) = KGnew. Then the problem is how to define and implement the transformation function. Could be reduced to SPARQL CONSTRUCT or RIF production rules.
12:57 From Paul Tyson: I agree that using bespoke models/ontologies will give better results. This is usually more costly than reusing standard work.

12:57 From Gary Berg-Cross: It is ontological because of the use of semantic relations that deduce/show some of the inferred relations.

12:57 From TS: Janet, Whether to base work on a foundational ontology can depend on how long the ‘work’ will be used. The longer expected ‘life’, the more a Foundational ontology should be used.
13:00 From Mike Bennett: Reacted to "Janet, whether to ba..." with 👍

Resources

Previous Meetings

 Session
ConferenceCall 2025 03 19Synthesis
ConferenceCall 2025 03 12Track 2
ConferenceCall 2025 03 05Track 2
... further results

Next Meetings

 Session
ConferenceCall 2025 04 02Track 3
ConferenceCall 2025 04 09Track 3
ConferenceCall 2025 04 16Track 4
... further results