Version 6.6.1 - AI-KM: Agent skills and ontology-driven knowledge modeling

This update introduces two significant capabilities: an agentic skill framework and ontology-driven knowledge modeling with retrieval. The agentic skill framework encapsulates complex AI behaviors as reusable, conversation-invokable skills, supporting both predefined expert skills and an autonomous planning mode for novel tasks. Meanwhile, the ontology-driven knowledge modeling module elevates knowledge representation from simple slice structures to formal, machine-interpretable ontologies built through natural language entity extraction. These advances enable domain experts to encode their expertise as both executable skills and structured knowledge, creating a closed loop where knowledge is represented as formal structure and applied as dynamic process.

Authors

Institutions

Publication Details

Journal
SoftwareX
Published
2026-07-02
DOI
https://doi.org/10.1016/j.softx.2026.102855
Primary Topic
Intelligent Tutoring Systems and Adaptive Learning
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Version 6.6.1 - AI-KM: Agent skills and ontology-driven knowledge modeling

熊俊芬, Bingjie Li, Songyi Wang, haolin wen et al.
SoftwareX
Intelligent Tutoring Systems and Adaptive Learning
article

Version 6.6.1 - AI-KM: Agent skills and ontology-driven knowledge modeling

熊俊芬, Bingjie Li, Songyi Wang, haolin wen, Xin Liang, Tong Chen
article en

Abstract

This update introduces two significant capabilities: an agentic skill framework and ontology-driven knowledge modeling with retrieval. The agentic skill framework encapsulates complex AI behaviors as reusable, conversation-invokable skills, supporting both predefined expert skills and an autonomous planning mode for novel tasks. Meanwhile, the ontology-driven knowledge modeling module elevates knowledge representation from simple slice structures to formal, machine-interpretable ontologies built through natural language entity extraction. These advances enable domain experts to encode their expertise as both executable skills and structured knowledge, creating a closed loop where knowledge is represented as formal structure and applied as dynamic process.

SoftwareXVol. 35
Naval University of Engineering (CN), Southern University of Science and Technology (CN), Peng Cheng Laboratory (CN), Central Hospital of Wuhan (CN), Wuhan General Hospital of Guangzhou (CN)
Quality Education
Openalex Percentile: Top 6%
Intelligent Tutoring Systems and Adaptive Learning
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Version 6.6.1 - AI-KM: Agent skills and ontology-driven knowledge modeling — 熊俊芬, Bingjie Li, et al. · SoftwareX (2026) | TGRS Research Map | TGRS