This paper presents a knowledge service system for the domain of agriculture. Three key issues for providing knowledge services are how to improve the access of unstructured and scattered information for the non-speci...This paper presents a knowledge service system for the domain of agriculture. Three key issues for providing knowledge services are how to improve the access of unstructured and scattered information for the non-specialist users, how to provide adequate information to knowledge workers and how to provide the information requiring highly focused and related information. Cyber-Brain has been designed as a platform that combines approaches based on knowledge engineering and language engineering to gather knowledge from various sources and to provide the effective knowledge service. Based on specially designed ontology for practical service scenarios, it can aggregate knowledge from Internet, digital archives, expert, and other resources for providing one-stop-shop knowledge services. The domain specific and task oriented ontology also enables advanced search and allows the system ensures that knowledge service could improve the user benefit. Users are presented with the necessary information closely related to their information need and thus of potential high interest. This paper presents several service scenarios for different end-users and reviews ontology engineering and its life cycle for supporting AOS （Agricultural Ontology Services） Vocbench which is the heart of knowledge services in agriculture domain.展开更多
With increased global economic development, the air traffic volume (including passengers and parcels) increases every year. Thus, the business-related load on air traffic controllers becomes heavier, which influences ...With increased global economic development, the air traffic volume (including passengers and parcels) increases every year. Thus, the business-related load on air traffic controllers becomes heavier, which influences their need for frequent learning and training opportunities. Therefore, the only solution is to enhance the performance of the training for the air traffic controllers (ATCs) and to build uniform training procedures and standardized training content, which constitute a shared framework with ontology knowledge. Taking departure operation control processes as an example, the research analyzes an aviation organization framework, with information communication procedures and relevant knowledge assets from the viewpoint of departure processes, to explore a knowledge management model of aviation control. This research studies how explicit knowledge is transformed by CommonKADS methodology using the CommonKADS sheet, and the Unified Modeling Language (UML) graph presentation and ontology model are discussed in this research. This analysis procedure can be applied to the systematic analysis and establishment of similar business-based information systems, allowing this research result to be further shared in different industries展开更多
Specimen observation and dissection have been regarded as the best approach to teach anatomy,but due to the severe lack of anatomical specimens in recent years,the quality of anatomy teaching has been seriously affect...Specimen observation and dissection have been regarded as the best approach to teach anatomy,but due to the severe lack of anatomical specimens in recent years,the quality of anatomy teaching has been seriously affected.In order to disseminate anatomical knowledge effectively under such circumstances,this study discusses three key factors(modeling,perception,and interaction)involved in constructing virtual anatomy teaching systems in detail.To ensure the authenticity,integrity,and accuracy of modeling,detailed three-dimensional(3D)digital anatomical models are constructed using multi-scale data,such as the Chinese Visible Human dataset,clinical imaging data,tissue sections,and other sources.The anatomical knowledge ontology is built according to the needs of the particular teaching purposes.Various kinds of anatomical knowledge and 3D digital anatomical models are organically combined to construct virtual anatomy teaching system by means of virtual reality equipment and technology.The perception of knowledge is realized by the Yi Chuang Digital Human Anatomy Teaching System that we have created.The virtual interaction mode,which is similar to actual anatomical specimen observation and dissection,can enhance the transmissibility of anatomical knowledge.This virtual anatomy teaching system captures the three key factors.It can provide realistic and reusable teaching resources,expand the new medical education model,and effectively improve the quality of anatomy teaching.展开更多
This paper introduces a pioneering dynamic system optimisation for multiagent(DysOMA)framework,revolutionising task scheduling in dynamic intelligent spaces with an emphasis on multirobot systems.The core of DysOMA is...This paper introduces a pioneering dynamic system optimisation for multiagent(DysOMA)framework,revolutionising task scheduling in dynamic intelligent spaces with an emphasis on multirobot systems.The core of DysOMA is an advanced auctionbased algorithm coupled with a novel task preemption ranking mechanism,seamlessly integrated with an ontology knowledge graph that dynamically updates.This integration not only enhances the efficiency of task allocation among robots but also significantly improves the adaptability of the system to environmental changes.Compared to other advanced algorithms,the DySOMA algorithm shows significant performance improvements,with its RLB 26.8%higher than that of the best-performing Consensus-Based Parallel Auction and Execution(CBPAE)algorithm at 10 robots and 29.7%higher at 20 robots,demonstrating its superior capability in balancing task loads and optimising task completion times in larger,more complex environments.DysOMA sets a new benchmark for intelligent robot task scheduling,promising significant advancements in the autonomy and flexibility of robotic systems in complex evolving environments.展开更多
This paper introduces a pioneering dynamic system optimisation for multiagent(DySOMA)framework,revolutionising task scheduling in dynamic intelligent spaces with an emphasis on multirobot systems.The core of DySOMA is...This paper introduces a pioneering dynamic system optimisation for multiagent(DySOMA)framework,revolutionising task scheduling in dynamic intelligent spaces with an emphasis on multirobot systems.The core of DySOMA is an advanced auction-based algorithm coupled with a novel task preemption ranking mechanism,seamlessly integrated with an ontology knowledge graph that dynamically updates.This integration not only enhances the efficiency of task allocation among robots but also significantly improves the adaptability of the system to environmental changes.Compared to other advanced algorithms,the DySOMA algorithm shows significant performance improvements,with its RLB 26.8%higher than that of the best-performing Consensus-Based Parallel Auction and Execution(CBPAE)algorithm at 10 robots and 29.7%higher at 20 robots,demonstrating its superior capability in balancing task loads and optimising task completion times in larger,more complex environments.DySOMA sets a new benchmark for intelligent robot task scheduling,promising significant advancements in the autonomy and flexibility of robotic systems in complex evolving environments.展开更多
The paper deals with ontology modelling for the purpose of design and creating of knowledge ontology for thematic cartography.The prepared ontology represents a database of selected declarative cartographical knowledg...The paper deals with ontology modelling for the purpose of design and creating of knowledge ontology for thematic cartography.The prepared ontology represents a database of selected declarative cartographical knowledge subsequently employed in the intelligent system for interactive support of thematic map design.The knowledge system pilot project under development is intended for users without necessary cartographical knowledge to whom such system will enable interactive creation of a thematic map and will provide them with support to this aim.The paper brings up information on possibilities of a domain expert(cartographer)in the endeavour to seize domain knowledge of thematic cartography and to express them in a formalized way.OWL ontology concentrates,formalizes and organizes declarative knowledge of thematic cartography domain.The result is the database containing taxonomy of terms hierarchically arranged into categories as well as description of their mutual relations.展开更多
文摘This paper presents a knowledge service system for the domain of agriculture. Three key issues for providing knowledge services are how to improve the access of unstructured and scattered information for the non-specialist users, how to provide adequate information to knowledge workers and how to provide the information requiring highly focused and related information. Cyber-Brain has been designed as a platform that combines approaches based on knowledge engineering and language engineering to gather knowledge from various sources and to provide the effective knowledge service. Based on specially designed ontology for practical service scenarios, it can aggregate knowledge from Internet, digital archives, expert, and other resources for providing one-stop-shop knowledge services. The domain specific and task oriented ontology also enables advanced search and allows the system ensures that knowledge service could improve the user benefit. Users are presented with the necessary information closely related to their information need and thus of potential high interest. This paper presents several service scenarios for different end-users and reviews ontology engineering and its life cycle for supporting AOS （Agricultural Ontology Services） Vocbench which is the heart of knowledge services in agriculture domain.
文摘With increased global economic development, the air traffic volume (including passengers and parcels) increases every year. Thus, the business-related load on air traffic controllers becomes heavier, which influences their need for frequent learning and training opportunities. Therefore, the only solution is to enhance the performance of the training for the air traffic controllers (ATCs) and to build uniform training procedures and standardized training content, which constitute a shared framework with ontology knowledge. Taking departure operation control processes as an example, the research analyzes an aviation organization framework, with information communication procedures and relevant knowledge assets from the viewpoint of departure processes, to explore a knowledge management model of aviation control. This research studies how explicit knowledge is transformed by CommonKADS methodology using the CommonKADS sheet, and the Unified Modeling Language (UML) graph presentation and ontology model are discussed in this research. This analysis procedure can be applied to the systematic analysis and establishment of similar business-based information systems, allowing this research result to be further shared in different industries
基金This work was funded by the National Natural Science Foundation of China(No.61190122).
文摘Specimen observation and dissection have been regarded as the best approach to teach anatomy,but due to the severe lack of anatomical specimens in recent years,the quality of anatomy teaching has been seriously affected.In order to disseminate anatomical knowledge effectively under such circumstances,this study discusses three key factors(modeling,perception,and interaction)involved in constructing virtual anatomy teaching systems in detail.To ensure the authenticity,integrity,and accuracy of modeling,detailed three-dimensional(3D)digital anatomical models are constructed using multi-scale data,such as the Chinese Visible Human dataset,clinical imaging data,tissue sections,and other sources.The anatomical knowledge ontology is built according to the needs of the particular teaching purposes.Various kinds of anatomical knowledge and 3D digital anatomical models are organically combined to construct virtual anatomy teaching system by means of virtual reality equipment and technology.The perception of knowledge is realized by the Yi Chuang Digital Human Anatomy Teaching System that we have created.The virtual interaction mode,which is similar to actual anatomical specimen observation and dissection,can enhance the transmissibility of anatomical knowledge.This virtual anatomy teaching system captures the three key factors.It can provide realistic and reusable teaching resources,expand the new medical education model,and effectively improve the quality of anatomy teaching.
基金supported by the Natural Science Foundation of Shandong Province(No.ZR2024MF085)the Jinan Science and Technology Bureau(No.2021GXRC026)+1 种基金Young Scholars Program ofShandong University(No.2018WLJH71)the Fundamental Research Funds of Shandong University and the Taishan Scholar Foundation of Shandong Province.
文摘This paper introduces a pioneering dynamic system optimisation for multiagent(DysOMA)framework,revolutionising task scheduling in dynamic intelligent spaces with an emphasis on multirobot systems.The core of DysOMA is an advanced auctionbased algorithm coupled with a novel task preemption ranking mechanism,seamlessly integrated with an ontology knowledge graph that dynamically updates.This integration not only enhances the efficiency of task allocation among robots but also significantly improves the adaptability of the system to environmental changes.Compared to other advanced algorithms,the DySOMA algorithm shows significant performance improvements,with its RLB 26.8%higher than that of the best-performing Consensus-Based Parallel Auction and Execution(CBPAE)algorithm at 10 robots and 29.7%higher at 20 robots,demonstrating its superior capability in balancing task loads and optimising task completion times in larger,more complex environments.DysOMA sets a new benchmark for intelligent robot task scheduling,promising significant advancements in the autonomy and flexibility of robotic systems in complex evolving environments.
基金supported by the Natural Science Foundation of Shandong Province(No.ZR2024MF085)the Jinan Science and Technology Bureau(No.2021GXRC026)+1 种基金Young Scholars Program of Shandong University(No.2018WLJH71)the Fundamental Research Funds of Shandong University and the Taishan Scholar Foundation of Shandong Province.
文摘This paper introduces a pioneering dynamic system optimisation for multiagent(DySOMA)framework,revolutionising task scheduling in dynamic intelligent spaces with an emphasis on multirobot systems.The core of DySOMA is an advanced auction-based algorithm coupled with a novel task preemption ranking mechanism,seamlessly integrated with an ontology knowledge graph that dynamically updates.This integration not only enhances the efficiency of task allocation among robots but also significantly improves the adaptability of the system to environmental changes.Compared to other advanced algorithms,the DySOMA algorithm shows significant performance improvements,with its RLB 26.8%higher than that of the best-performing Consensus-Based Parallel Auction and Execution(CBPAE)algorithm at 10 robots and 29.7%higher at 20 robots,demonstrating its superior capability in balancing task loads and optimising task completion times in larger,more complex environments.DySOMA sets a new benchmark for intelligent robot task scheduling,promising significant advancements in the autonomy and flexibility of robotic systems in complex evolving environments.
基金supported by the Czech Science Foundation under Grant No.205/09/1159.Support of the Czech Science Foundation is gratefully acknowledged.
文摘The paper deals with ontology modelling for the purpose of design and creating of knowledge ontology for thematic cartography.The prepared ontology represents a database of selected declarative cartographical knowledge subsequently employed in the intelligent system for interactive support of thematic map design.The knowledge system pilot project under development is intended for users without necessary cartographical knowledge to whom such system will enable interactive creation of a thematic map and will provide them with support to this aim.The paper brings up information on possibilities of a domain expert(cartographer)in the endeavour to seize domain knowledge of thematic cartography and to express them in a formalized way.OWL ontology concentrates,formalizes and organizes declarative knowledge of thematic cartography domain.The result is the database containing taxonomy of terms hierarchically arranged into categories as well as description of their mutual relations.
