The Experts below are selected from a list of 205302 Experts worldwide ranked by ideXlab platform
Klaus Gramann - One of the best experts on this subject based on the ideXlab platform.
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landmark based navigation instructions improve incidental spatial Knowledge Acquisition in real world environments
Journal of Environmental Psychology, 2021Co-Authors: Anna Wunderlich, Klaus GramannAbstract:Abstract The repeated use of navigation assistance systems leads to decreased processing of the environment. Previous studies demonstrated that auditory references to landmarks in navigation instructions can improve incidental spatial Knowledge Acquisition when driving a single route through an unfamiliar virtual environment. Based on these results, three experiments were conducted to investigate the generalizability and ecological validity of incidental landmark and route Knowledge Acquisition induced by landmark-based navigation instructions. In the first experiment, spatial Knowledge Acquisition was tested after watching an interactive video showing the navigation of a real-world urban route. A second experiment investigated incidental spatial Knowledge Acquisition during assisted navigation when participants walked through the same real-world, urban environment. The third experiment tested the acquired spatial Knowledge two weeks after participants had walked through the real-world environment. All experiments demonstrated better performance in a cued-recall task for participants navigating with landmark-based navigation instructions as compared to standard instructions. Different levels of information provided with landmark-based instructions impacted landmark recognition dependent on the delay between navigation and test. The results replicated an improved landmark and route Knowledge when using landmark-based navigation instructions emphasizing that auditory landmark augmentation enhances incidental spatial Knowledge Acquisition, and that this enhancement can be generalized to real-life settings. This research is paving the way for navigation assistants that, instead of impairing spatial Knowledge Acquisition, incidentally foster the Acquisition of landmark and route Knowledge during every-day navigation.
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landmark based navigation instructions improve incidental spatial Knowledge Acquisition in real world environments
bioRxiv, 2020Co-Authors: Anna Wunderlich, Klaus GramannAbstract:Abstract The repeated use of navigation assistance systems leads to decreased processing of the environment. Previous studies demonstrated that auditory augmentation of landmarks in navigation instructions can improve incidental spatial Knowledge Acquisition when driving a single route through an unfamiliar virtual environment. Based on these results, three experiments were conducted to investigate the generalizability and ecological validity of incidental spatial Knowledge Acquisition by landmark augmentation in navigation instructions. In the first experiment, spatial Knowledge Acquisition was tested after watching an interactive video showing the navigation of a real-world urban route. A second experiment investigated incidental spatial Knowledge Acquisition during assisted navigation when participants walked through the same real-world, urban environment. The third experiment tested the acquired spatial Knowledge two weeks after an assisted pedestrian navigation phase through the real-world. All experiments demonstrated better performance in a cued-recall task for participants navigating with landmark-based navigation instructions as compared to standard instructions. Different levels of information provided with landmark-based instructions impacted landmark recognition dependent on the delay between navigation and test. The results replicated an improved landmark and route Knowledge when using landmark-based navigation instructions emphasizing that auditory landmark augmentation enhances incidental spatial Knowledge Acquisition, and that this enhancement can be generalized to real-life settings. This research is paving the way for navigation assistants that, instead of impairing spatial Knowledge Acquisition, incidentally foster the Acquisition of landmark and route Knowledge during every-day navigation.
Mark A. Musen - One of the best experts on this subject based on the ideXlab platform.
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protege 2000 an open source ontology development and Knowledge Acquisition environment
American Medical Informatics Association Annual Symposium, 2003Co-Authors: Natalya F Noy, Monica Crubezy, Ray W Fergerson, Holger Knublauch, Jennifer Vendetti, Mark A. MusenAbstract:Abstract Prot´eg´e-2000 is an open-source tool that as-sists users in the construction of large electronic knowl-edge bases. It has an intuitive user interface that enablesdevelopers to create and edit domain ontologies. Nu-merous plugins provide alternative visualization mecha-nisms, enable management of multiple ontologies, allowthe use of inference engines and problem solvers withProt´eg´e ontologies, and provide other functionality. TheProt´eg´e user community has more than 7000 members.Background Prot´eg´e-2000 is the latest in a series oftools developed in our laboratory to assist users in theconstruction of large electronic Knowledge bases. 1 Thedirect-manipulation user interface allows developers tocreate and edit domain ontologies that represent thesalient concepts and relationships in an application area.From the ontology, the system automatically constructsa graphical Knowledge-Acquisition system that allows ap-plication specialists to enter the content Knowledge re-quired for specific applications.Prot´eg´e-2000 is written in Java, and thus runs un-der a wide variety of operating systems. Prot´eg´e-2000is available under the open-source license and can bedownloaded from http://protege.stanford.edu.System description The Prot´eg´e-2000 systempresents the user with a series of “tabs,” where eachtab offers the user access to a different element of thesystem’s functionality. Standard tabs allow users toedit and browse a domain ontology, to custom-tailorthe Knowledge-Acquisition tool generated from a domainontology, to enter Knowledge into the Knowledge-Acquisition tool, and to search the Knowledge base.An essential goal of the system is to make Knowledgebrowsing and entry as simple for users as possible. Whenthe system generates a Knowledge-Acquisition tool froman ontology, users enter domain information by filling inthe blanks of intuitive forms, selecting items from lists,and by drawing diagrams.Furthermore, perhaps, one of the biggest values of theProt´eg´e system is the availability of dozens of plugins
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jambalaya interactive visualization to enhance ontology authoring and Knowledge Acquisition in protege
2001Co-Authors: Margaretanne Storey, Mark A. Musen, John S Silva, Casey Best, Neil A Ernst, Ray W FergersonAbstract:This paper describes the integration of an interactive visualization user interface with a Knowledge management tool called Protege. Protege is a general-purpose tool that allows domain experts to build Knowledge-based systems by creating and modifying reusable ontologies and problem-solving methods, and by instantiating ontologies to construct Knowledge bases. The SHriMP (Simple Hierarchical Multi-Perspective) visualization technique was designed to enhance how people browse, explore and interact with complex information spaces. Although SHriMP is information independent, its primary use to date has been for visualizing and documenting software programs. The paper describes how we have applied software visualization techniques to more general Knowledge domains. It is hoped that the integrated environment (called Jambalaya) will result in an easier to use and more powerful environment to support ontology evolution and Knowledge Acquisition. An example scenario of how Jambalaya can be applied to Knowledge Acquisition is provided.
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component based support for building Knowledge Acquisition systems
2000Co-Authors: Mark A. Musen, Natalya F Noy, Ray W Fergerson, William Grosso, Monica CrubezyAbstract:Mark A. Musen, Ray W. Fergerson, William E. Grosso, Natalya F. Noy, Monica Crubezy, and John H. GennariStanford Medical InformaticsStanford UniversityStanford, California 94305-5479U.S.A.Musen@Stanford.EDUhttp://www.smi.stanford.edu/projects/protegeDuring the past decade, there has been increasingconsensus within the Knowledge-based–systemscommunity on appropriate conceptual componentsfor building intelligent computer programs. Intelli-gent systems are now generally construed in termsof both domain ontologies and abstract problem-solving methods that operate on Knowledge basesdefined in terms of those ontologies. There hasbeen less consensus, however, regarding how tooptimize the operational components and the userinterfaces of tools that assist developers in the con-struction of Knowledge-based systems. For the mostpart, such lack of consensus is to be expected, giventhe way in which domain considerations oftendominate the way in which Knowledge can best beentered, browsed, and updated in any computer-based tool. In our research group at Stanford Uni-versity, we acKnowledge both the central importanceand the great variability of domain-specific idiomsthat can enhance the functionality of Knowledge-Acquisition tools. Our work seeks specific ways toharness this variability and to allow developers totake advantage of alternative approaches.Our latest development in a series of computer-based Knowledge-Acquisition systems is known asProtege-2000. Protege-2000 is a meta-tool” that“helps users to construct domain-specific Knowledge-Acquisition systems that application experts can useto enter and browse the content Knowledge of elec-tronic Knowledge bases. The architecture of Pro-tege-2000 assumes that, as with Web browsers,users will want to enhance andcustom tailor the system’s behavior by means of a variety of “plug-ins.” These plug-ins are modular pieces of programcode that add new functionalities to Protege-2000 inwell circumscribed ways. Developers can contrib-ute new Protege-2000 plug-ins to a library main-tained on the Internet, and can freely download newplug-ins to augment the behavior of their ownKnowledge-Acquisition systems constructed usingProtege-2000. Our approach establishes a new kindof Knowledge-Acquisition enterprise—one of build-ing Knowledge-Acquisition–tool
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reusable ontologies Knowledge Acquisition tools and performance systems prote ge ii solutions to sisyphus 2
International Journal of Human-computer Studies \ International Journal of Man-machine Studies, 1996Co-Authors: Thomas E Rothenfluh, Henrik Eriksson, Samson W. Tu, John H Gennari, Angel R Puerta, Mark A. MusenAbstract:Abstract This paper describes how we applied the PROTEGE-II architecture to build a Knowledge-based system that configures elevators. The elevator-configuration task was solved originally with a system that employed the propose-and-revise problem-solving method (VT). A variant of this task, here named the Sisyphus-2 problem, is used by the Knowledge-Acquisition community for comparative studies. PROTEGE-II is a Knowledge-engineering environment that focuses on the use of reusable ontologies and problem-solving methods to generate task-specific Knowledge-Acquisition tools and executable problem solvers. The main goal of this paper is to describe in detail how we used PROTEGE-II to model the elevator-configuration task. This description provides a starting point for comparison with other frameworks that use abstract problem-solving methods. Beginning with the textual description of the elevator-configuration task, we analysed the domain Knowledge with respect to PROTEGE-II’s main goal: to build domain-specific Knowledge-Acquisition tools. We used PROTEGE-II’s suite of tools to construct a Knowledge-based system, called ELVIS, that includes a reusable domain ontology, a Knowledge-Acquisition tool, and a propose-and-revise problem-solving method that is optimized to solve the elevator-configuration task. We entered domain-specific Knowledge about elevator configuration into the Knowledge base with the help of a task-specific Knowledge-Acquisition tool that PROTEGE-II generated from the ontologies. After we constructed mapping relations to connect the Knowledge base with the method’s code, the final executable problem solver solved the test case provided with the Sisyphus-2 material. We have found that the development of ELVIS has afforded a valuable test case for evaluating PROTEGE-II’s suite of system-building tools. Only projects based on reasonably large problems, such as the Sisyphus-2 task, will allow us to improve the design of PROTEGE-II and its ability to produce reusable components.
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Development of a controlled medical terminology: Knowledge Acquisition and Knowledge representation.
Methods of Information in Medicine, 1995Co-Authors: Mark A. Musen, Keith E. Campbell, K E Wieckert, E T Miller, Lawrence M. FaganAbstract:Development of a controlled medical terminology: Knowledge Acquisition and Knowledge representation. -
Anna Wunderlich - One of the best experts on this subject based on the ideXlab platform.
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landmark based navigation instructions improve incidental spatial Knowledge Acquisition in real world environments
Journal of Environmental Psychology, 2021Co-Authors: Anna Wunderlich, Klaus GramannAbstract:Abstract The repeated use of navigation assistance systems leads to decreased processing of the environment. Previous studies demonstrated that auditory references to landmarks in navigation instructions can improve incidental spatial Knowledge Acquisition when driving a single route through an unfamiliar virtual environment. Based on these results, three experiments were conducted to investigate the generalizability and ecological validity of incidental landmark and route Knowledge Acquisition induced by landmark-based navigation instructions. In the first experiment, spatial Knowledge Acquisition was tested after watching an interactive video showing the navigation of a real-world urban route. A second experiment investigated incidental spatial Knowledge Acquisition during assisted navigation when participants walked through the same real-world, urban environment. The third experiment tested the acquired spatial Knowledge two weeks after participants had walked through the real-world environment. All experiments demonstrated better performance in a cued-recall task for participants navigating with landmark-based navigation instructions as compared to standard instructions. Different levels of information provided with landmark-based instructions impacted landmark recognition dependent on the delay between navigation and test. The results replicated an improved landmark and route Knowledge when using landmark-based navigation instructions emphasizing that auditory landmark augmentation enhances incidental spatial Knowledge Acquisition, and that this enhancement can be generalized to real-life settings. This research is paving the way for navigation assistants that, instead of impairing spatial Knowledge Acquisition, incidentally foster the Acquisition of landmark and route Knowledge during every-day navigation.
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landmark based navigation instructions improve incidental spatial Knowledge Acquisition in real world environments
bioRxiv, 2020Co-Authors: Anna Wunderlich, Klaus GramannAbstract:Abstract The repeated use of navigation assistance systems leads to decreased processing of the environment. Previous studies demonstrated that auditory augmentation of landmarks in navigation instructions can improve incidental spatial Knowledge Acquisition when driving a single route through an unfamiliar virtual environment. Based on these results, three experiments were conducted to investigate the generalizability and ecological validity of incidental spatial Knowledge Acquisition by landmark augmentation in navigation instructions. In the first experiment, spatial Knowledge Acquisition was tested after watching an interactive video showing the navigation of a real-world urban route. A second experiment investigated incidental spatial Knowledge Acquisition during assisted navigation when participants walked through the same real-world, urban environment. The third experiment tested the acquired spatial Knowledge two weeks after an assisted pedestrian navigation phase through the real-world. All experiments demonstrated better performance in a cued-recall task for participants navigating with landmark-based navigation instructions as compared to standard instructions. Different levels of information provided with landmark-based instructions impacted landmark recognition dependent on the delay between navigation and test. The results replicated an improved landmark and route Knowledge when using landmark-based navigation instructions emphasizing that auditory landmark augmentation enhances incidental spatial Knowledge Acquisition, and that this enhancement can be generalized to real-life settings. This research is paving the way for navigation assistants that, instead of impairing spatial Knowledge Acquisition, incidentally foster the Acquisition of landmark and route Knowledge during every-day navigation.
Andrew C Inkpen - One of the best experts on this subject based on the ideXlab platform.
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learning through joint ventures a framework of Knowledge Acquisition
Journal of Management Studies, 2000Co-Authors: Andrew C InkpenAbstract:Joint ventures (JVs) are becoming an increasingly important organizational form in international business. When JVs are formed, valuable learning opportunities may be created for the venture partners. The primary objective in this paper is to explore the conditions under which firms exploit JV learning opportunities through the Acquisition of Knowledge. A framework of Knowledge Acquisition by JV partner firms is proposed. Using JV partner organizations as the primary level of analysis, the paper identifies various factors that influence the Acquisition of learning, its value to the learning organization, and the migration of Knowledge from the JV to the parent. Two firm specific learning‐based concepts are developed: alliance Knowledge accessibility and Knowledge Acquisition effectiveness.
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learning and Knowledge Acquisition through international strategic alliances
Academy of Management Perspectives, 1998Co-Authors: Andrew C InkpenAbstract:Executive Overview Global competition is forcing firms to rethink the question of how new organizational Knowledge is acquired. New Knowledge provides the foundation for new skills, which in turn can lead to competitive success. However, few firms systematically manage the process of Knowledge Acquisition. This paper explores international strategic alliances and their potential for learning and Knowledge Acquisition. In bringing together firms with different skills, Knowledge bases, and organizational cultures, alliances create unique learning opportunities for the partner firms. Based on the assumption that organizational learning is both a function of access to new Knowledge and the capabilities for using and building on such Knowledge, the paper focuses on alliance Knowledge accessibility and firm learning effectiveness.
Zhang Xien - One of the best experts on this subject based on the ideXlab platform.
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a new method for military electronic equipment fault Knowledge Acquisition based on simulation
Computer Simulation, 2006Co-Authors: Zhang XienAbstract:The difficulties of acquiring fault Knowledge severely handicap the development of intelligent diagnosis system(IDS) of military electric equipment(MEE) in our country.In this paper,the characteristics of MEE are analyzed at first,as well as the general procedure of Knowledge Acquisition(KA) by fault simulation.And then,a new method is presented,which auto-acquires fault Knowledge by simulating all possible faults of equipment.Here four key strategies are necessary to reduce simulation complexity to a tolerable level and to establish the fault set automatically.The scheme of circuit fault Knowledge Acquisition flat is proposed to implement this method.Automation of KA,to a certain extent, solves the basic problem of hard task of gathering the fault original data,and makes the Knowledge acquired more sufficiently.Finally,results of experiment prove its feasibility.
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new method of the fault Knowledge Acquisition of military electronic equipment
Systems engineering and electronics, 2006Co-Authors: Zhang XienAbstract:The difficulties of acquiring fault Knowledge severely handicap the development of intelligent diagnosis system(IDS) of military electronic equipment(MEE) in our country.The characteristics of MEE are analyzed at first,as well as the general procedure of Knowledge Acquisition(KA) by fault simulation is summariged.And then,a new method is presented,which auto-acquires fault Knowledge by simulating all possible faults of equipment.Here four key strategies are necessary to reduce simulation complexity to a tolerable level and to establish the fault set automatically.In clustering strategy,the characters of data gathered in fault simulation are analyzed,and a new algorithm is proposed.The scheme of circuit fault Knowledge Acquisition flat is proposed to implement this method.Automation of KA,to a certain extent,solves the basic problem of hard task of gathering the fault original data,and makes the Knowledge acquired more sufficient.Finally,results of experiment prove its feasibility.
