Taxonomy Creation Task
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A Taxonomy Creation Task is a knowledge base creation task that is aimed at developing a hierarchical classification system (taxonomy) to organize concepts, entities, or data within a specific domain, facilitating better understanding, retrieval, and analysis.
- AKA: Taxonomy Development, Taxonomy Construction, Classification Scheme Design.
- Context:
- Task Input: structured or unstructured corpus of domain-specific data, concepts, or entities to be categorized and organized hierarchically.
- Task Output: Taxonomy Dataset.
- It can be solved by Taxonomy Creation System.
- It can involve identifying key concepts and their relationships to structure information hierarchically.
- It can be performed manually by domain experts or automatically using algorithms and machine learning techniques.
- It can serve as a foundational step in building ontologies, knowledge graphs, and information architecture.
- It can enhance information retrieval, data integration, and decision-making processes by providing a clear organizational framework.
- It can be applied across various domains, including biology, information systems, business processes, and more.
- It can range from being a manual taxonomy creation task, to being an AI-assisted taxonomy creation task, to be a fully automated taxonomy creation task.
- ...
- Example(s):
- Developing a taxonomy for business process engineering to standardize and streamline organizational workflows.
- Creating a product taxonomy in e-commerce to improve navigation and search functionality for users.
- Constructing a taxonomy of mobile applications to categorize and analyze app functionalities and user interactions.
- Designing a taxonomy for business writing support using a huma-AI collaborative approach, where LLMs propose draft structures refined through expert review and iterative feedback loops.
- Counter-Example(s):
- Flat tagging systems that assign labels without hierarchical relationships, lacking the structured depth of a taxonomy.
- Ad-hoc classification methods that do not follow a systematic approach, leading to inconsistencies and ambiguities.
- Ontology development tasks that go beyond hierarchical classification to include complex relationships and rules.
- See: Ontology Creation Task, Knowledgebase, Information Architecture, Classification Systems, Knowledge Organization Systems.
References
2024
- (Matteo Benocci, 2024) ⇒ Matteo Benocci (2024). "Taxonomize This: How to Build and Refine a Taxonomy. In: Semantic Partners Blog.
- QUOTE: Even though a taxonomy alone will be insufficient for many knowledge modelling endeavours, it still provides the backbone around which a richer ontology can be built.
Being a key step in the design of an ontology, the construction of a taxonomy is crucial for the success of the whole endeavour.
- QUOTE: Even though a taxonomy alone will be insufficient for many knowledge modelling endeavours, it still provides the backbone around which a richer ontology can be built.
2023
- (Ren et al., 2023) ⇒ Y. Ren, S. Li, J. Han, C. Chen, & J. Tang. (2023). "TaxoInstruct: Improving Taxonomy Creation via Instruction Tuning".
- QUOTE: Taxonomy creation is a fundamental task for organizing knowledge and facilitating downstream applications. However, due to its inherent complexity, existing taxonomy creation methods often suffer from limited scalability and accuracy. In this paper, we propose TaxoInstruct, a novel instruction tuning framework that significantly enhances the performance of taxonomy creation by leveraging the power of large language models (LLMs).
2022
- (De Mauro et al., 2022) ⇒ A. De Mauro, M. Greco, & M. Grimaldi. (2022). Taxonomies for Business Process Engineering. In: Business Process Management Cases. Springer Gabler, Wiesbaden.
- QUOTE: Taxonomy is one of the knowledge representation tools widely adopted in business process management (BPM) to define a classification schema that helps to describe, classify, and contextualize business processes.
2021
- (Dellermann et al., 2021) ⇒ D. Dellermann, M. Durward, S. Szopinski, C.J. vom Brocke, & O. Thomas. (2021). "The Future of Human-AI Collaboration: A Taxonomy of Design Knowledge for Hybrid Intelligence Systems". In: Designing for Digital Transformation. Springer, Wiesbaden.
- QUOTE: Such systems possess the ability to accomplish complex goals by combining human and artificial intelligence to collectively achieve superior results and continuously improve by learning from each other."