Open Knowledge Base Connectivity 2.0.3 1 — Proposed —
Vinay K. Chaudhri, Adam Farquhar, Richard Fikes et al. · 1998
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About 114 papers for “Open Knowledge Base Connectivity”
Vinay K. Chaudhri, Adam Farquhar, Richard Fikes et al. · 1998
Cited by 0
Hua Guo, Arthur Yidi, Steven R. Gomez et al. · 2013
In this paper, we report on the needs for, the design of, and feedback about a web-based platform that supports flexible exploration of existing brain connectivity knowledge. We analyze the needs in brain connectivity research for an integrated visual knowledge base and discuss the design of the platform and the design rationales. Preliminary user feedback suggests diverse analytical patterns and additional needs in brain connectivity analysis, which distinguish it from generic network analysis. Finally, we describe open issues motivated by preliminary feedback and observation in designing more advanced features to support additional needs and characterizing user analysis patterns.
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Yu C(余岑) · SIA OpenIR (Chinese Academy of Sciences) · 2012
<p>Behaviors of multi-robot system based on task-oriented architecture are intuitional according to the flow of task processing that is obvious to plan and monitor. This paper tables a novel task-oriented architecture for space robot application, which consists of task description, task completion analysis, task compromise. For this architecture, author designed a knowledge interchange mechanism base on KIF (Knowledge Interchange Format) and OKBC (Open Knowledge Base Connectivity). Using this knowledge interchange mechanism, knowledge bases designed by different languages comprehend information transmitted form each other.</p>
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Natasha Noy, Mark Alan Musen, Natalya Fridman Noy et al. · 2000
Knowledge-based systems have become ubiquitous in recent years. The World-Wide Web consortium is developing the Resource Description Framework (RDF)—a system for annotating even Web pages with knowledge elements. Knowledge-base developers need to be able to share and reuse knowledge bases that they build. Therefore, interoperability among different knowledge-representation systems is essential. The Open Knowledge-Base Connectivity protocol (OKBC) is a common query and construction interface for frame-based systems that facilitates this interoperability. Protégé-2000 is an OKBC-compatible knowledge-base–editing environment developed in our laboratory. Protégé-2000 has an easy-to-use and configurable interface. We describe its OKBC-compatible knowledge model that makes the import and export of knowledge bases from and to other knowledge-base servers easy. We discuss how the requirements of being usable and configurable knowledge-acquisition tool affected our decisions in the knowledge-model design. Protégé-2000 also has a flexible metaclass architecture which provides configurable templates for new classes in the knowledge base. The use of
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Vinay K. Chaudhri · 2000
Abstract : In the construction of a new knowledge base (KB), significant productivity gains can be obtained by reusing existing knowledge components. These components include pieces of domain knowledge and KB development tools. To support reuse of domain knowledge, the knowledge sharing community has undertaken various efforts, including the development of shared portable anthologies and the development of well-defined languages for knowledge interchange. There has been, however, less emphasis on the reuse of KB development tools. A significant amount of effort is invested in building customized tools for specific knowledge representation systems (KRSs). These tools work only with a single KRS, and the development effort is wasted if the KRS is no longer used. A KRS developer usually does not have the choice of using off-the-shelf tools and is forced to develop custom tools. Open knowledge base connectivity (OKBC) is an application programming interface (API) for KPRSs that has been developed to address the problem of KB tools reusability. The name OKBC was chosen to be analogous to ODBC (Open Database Connectivity), as used in the database community. This work experimented with several KB development tools to test the ability of OKBC to enable the construction of reusable tools. These tools included GKB-editor, a graphical tool for browsing and editing KBs, and PERK, a system for storing KBs in Oracle and for controlling multiuser access to KBs.
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Avraam Ledentsov · IAIC Transactions on Sustainable Digital Innovation (ITSDI) · 2023
The creation and upkeep of knowledge bases have emerged as the primary issue in artificial intelligence development. The knowledge domain is expanding, and application interoperability is urgently demanded. To accommodate this modification, the knowledge base, which serves as the foundation of the artificial intelligence architecture, must be updated. XML (extensible markup language), RDF (resources description framework), DAML (DARPA agent markup language), OIL (ontology inference layer), and OKBC are just a few of the standards that have been introduced as a result of the development of the internet (Open Knowledge-Base Connectivity). One type of knowledge representation that can store information and facts about a subject is frame-based representation. The OKBC, which can help with knowledge base interoperability, supports this approach. In this work, the main issues covered are the comprehension and fundamentals of knowledge base creation with frame representation. To better understand how frame representation functions as a reusable component, a case study from a news publication were used as an example.
Cited by 6Open access
George F. Wittenberg · Brain stimulation · 2021
Abstract There is more knowledge than ever about brain connectivity, without change in the capacity of humans to individually manage that knowledge. Non-invasive methods such as MRI and EEG generate large amounts of data related to connectivity in humans that lacks specificity at many levels of analysis. Experiments that use transcranial magnetic stimulation (TMS) generate smaller amounts of data that provide complementary information about the causal role of surface brain regions in modulating other brain areas and behaviors. While the volume and variety of all types of data regarding neuronal networks is increasing, sufficiently flexible comprehensive methodology for describing, summarizing, and modeling multimodal information about brain connectivity does not exist. For most types of brain connection data, there is no way to identify regional brain circuitry beside traditional bibliographic methods. Specifically, there is no publicly accessible knowledge base or theoretical approach for human TMS-based regional brain connectivity information. We have begun to aggregate, harmonize, and model brain connectivity information derived from transcranial magnetic stimulation (TMS) regarding motor behavior in normal, aged, and neurologically impaired humans. We have designed and tested a graph database approach to describe the results of TMS-connectivity experiments parsed from the literature. We will present a demonstration of how our system can provide an open-source knowledge base to the community of scientists. But there are numerous decisions to be made regarding the representation of varied experimental designs and results in a graph database and how to handle conflicts and gaps in the literature. Once these issues are addressed, the ability to store and retrieve data in a format that can generate models of function will aid scientists’ ability to generate theories of normal motor function to understand and ameliorate deficits when they occur. Keywords: functional connectivity, knowledge aggregation, computational methods, transcranial magnetic stimulation
Cited by 0Open access
Imran Akperov, Владимир Храмов · E3S Web of Conferences · 2020
The principles of describing a single information space as a key component of the substance-energy-information triad as applied to a geographically limited area are considered. An open structure of the knowledge base is proposed, which provides storage and development of a multidimensional model of this geoinformation space based on the study of the connectivity and semantic interoperability of measurable components. An approach to modeling the intellectual space of the region as one of the layers of a single geoinformation space is proposed.
Cited by 10Open access
Xingchen Liu, Shu Sun, Meixia Tao et al. · ArXiv.org · 2025
The advent of 6G wireless networks promises unprecedented connectivity, supporting ultra-high data rates, low latency, and massive device connectivity. However, these ambitious goals introduce significant challenges, particularly in channel estimation due to complex and dynamic propagation environments. This paper explores the concept of channel knowledge maps (CKMs) as a solution to these challenges. CKMs enable environment-aware communications by providing location-specific channel information, reducing reliance on real-time pilot measurements. We categorize CKM construction techniques into measurement-based, model-based, and hybrid methods, and examine their key applications in integrated sensing and communication systems, beamforming, trajectory optimization of unmanned aerial vehicles, base station placement, and resource allocation. Furthermore, we discuss open challenges and propose future research directions to enhance the robustness, accuracy, and scalability of CKM-based systems in the evolving 6G landscape.
Cited by 0Open access
William E. Grosso, John H. Gennari, Ray W. Fergerson et al. · 1998
Interoperability and reuse of components and declarative knowledge are crucial to the further development of knowledge-based software. Unfortunately, it is hard to get components to interoperate and even harder to reuse other people&apos;s work. These difficulties are often a result of incompatibilities in the knowledge models (the precise definition of declarative knowledge structures) assumed by the various components. Knowledge models are usually implicit or specified informally and arise from design choices made during system development. In this paper, we examine the choices made in Protg, a knowledge-engineering project at Stanford University, and compare them to the choices made by the designers of the Open Knowledge Base Connectivity (OKBC) application program interface (formerly known as the Generic Frame Protocol). We show how these decisions lead to different knowledge models, discuss interoperability between Protg and OKBC, and then close with a brief discussion of the merits of formalized knowledge models.
Cited by 0
P.J.M. de Bruijn, Frank van Oort · 2008
Part 1: Regional Innovation Systems 1. The Regionalization of Knowledge: The Territorial Basis of Development 2. Creative Regions and Globalising Social Capital - Connecting Foreign ICT Experts to Finnish Innovation Environments 3. Connectivity and Co-Location in Innovation Processes of Dutch Firms 4. On Strengthening the Knowledge Base of Knowledge-Intensive SMEs in Less-Favoured Regions in Finland Part 2: Cluster Evolution, Variety and Policy 5. Regional Innovation Clusters: Evaluation of the South East Brabant Cluster Scheme 6. Cluster Emergence: A Comparative Study of Two Cases in North Jutland, Denmark 7. The Knowledge-Space Dynamic in the British Biotechnology Industry: Function, Relation, and Association 8. Cultural and Creative Industries in Places of 'High Culture' - The Case of the Art City of Florence 9. Reflections on Innovative Alliances Involving Technological Science and the Creative Industry - A Case Study Involving the Roskilde Region and Musicon Valley Part 3: Knowledge Transfer, R&D Outsourcing, Open Innovation 10. Research, Knowledge and Open Innovation: Spatial Impacts upon Organization of Knowledge-Intensive Industry Clusters 11. The Outsourcing of Knowledge Production and its Implications for Regional Path Dependence 12. Creativity and Openness: Outsourcing of Knowledge Intensive Services as a Challenge for Innovation Systems in a Metropolitan Region 13. Boundary Spanning and the 'Knowledge Community'
Cited by 46
William Grosso, Henrik Eriksson, Ray W. Fergerson et al. · 1999
It has been 13 years since the first version of Protg was run. The original tool was a small application, aimed mainly at building knowledge-acquisition tools for a few very specialized programs (it grew out of the ONCOCIN project and the subsequent attempts to build expert systems for protocol-based therapy planning). The most recent version, Protg-2000, incorporates the Open Knowledge Base Connectivity (OKBC) knowledge model, is written to run across a wide variety of platforms, supports customized user-interface extensions, and has been used by over 300 individuals and research groups, most of whom are only peripherally interested in medical informatics. Researchers not directly involved in the project might well wonder how Protg evolved, what are the reasons for the repeated reimplementations, and how to tell the various versions apart. In this paper, we give an overview of the evolution of Protg, examining the methodological assumptions underlying the original Protg system and dis...
Cited by 213
Christopher L. Rees, Diek W. Wheeler, David J. Hamilton et al. · eNeuro · 2016
We computed the potential connectivity map of all known neuron types in the rodent hippocampal formation by supplementing scantly available synaptic data with spatial distributions of axons and dendrites from the open-access knowledge base Hippocampome.org. The network that results from this endeavor, the broadest and most complete for a mammalian cortical region at the neuron-type level to date, contains more than 3200 connections among 122 neuron types across six subregions. Analyses of these data using graph theory metrics unveil the fundamental architectural principles of the hippocampal circuit. Globally, we identify a highly specialized topology minimizing communication cost; a modular structure underscoring the prominence of the trisynaptic loop; a core set of neuron types serving as information-processing hubs as well as a distinct group of particular antihub neurons; a nested, two-tier rich club managing much of the network traffic; and an innate resilience to random perturbations. At the local level, we uncover the basic building blocks, or connectivity patterns, that combine to produce complex global functionality, and we benchmark their utilization in the circuit relative to random networks. Taken together, these results provide a comprehensive connectivity profile of the hippocampus, yielding novel insights on its functional operations at the computationally crucial level of neuron types.
Cited by 34Open access
William E. Grosso, Henrik Eriksson, Ray W. Fergerson et al. · 1999
It has been 13 years since the first version of Protégé was run. The original tool was a small application, aimed mainly at building knowledge-acquisition tools for a few very specialized programs (it grew out of the ONCOCIN project and the subsequent attempts to build expert systems for protocol-based therapy planning). The most recent version, Protégé-2000, incorporates the Open Knowledge Base Connectivity (OKBC) knowledge model, is written to run across a wide variety of platforms, supports customized user-interface extensions, and has been used by over 300 individuals and research groups, most of whom are only peripherally interested in medical informatics. Researchers not directly involved in the project might well wonder how Protg evolved, what are the reasons for the repeated reimplementations, and how to tell the various versions apart. In this paper, we give an overview of the evolution of Protg, examining the methodological assumptions underlying the original Protégé system and discussing the ways in which the methodology has changed over time. We conclude with an overview of the latest version of Protégé, Protégé-2000.
Cited by 0
Francesc Pedró · 2012
FRANCESC PEDRO UNESCO Governments have been investing in educational technology since the early 1980s.1 The devices, services, and applications of this technology are constantly evolving, and schools and classroom arrangements continue to develop in order to take advantage of it. The increasing emphasis on personal ubiquitous access to connectivity for communication and information purposes, coupled with the evolution of technology and lower prices, contribute to modifying the context in which investment decisions about educational technology—the technology policies in education—have to be made. When reviewing these policies, it is striking how little is known about the effects of using technology on the quality of school education,2 and, more specifically, which particular uses of technology can result in better student performance. If a good evidence-supported knowledge base existed in this domain, then the analysis of these effects, and the factors that determine or condition them, could be used to unveil what works and why. But in the absence of hard evidence, the evaluation of these policies remains an almost impossible endeavor and the whole issue of how these policy decisions are made remains open. This chapter addresses two questions. First, it looks at what is currently known and the limitations of the existing knowledge base—recognizing the paradox that developing countries, which make comparatively bigger efforts in this domain, lag behind also in terms of knowledge base. Second, it considers both what elements are missing and how the important methodological challenges required to assemble them could be met.
Cited by 21
Ham, J.J. van der, Dijkstra, F., Travostino, F. et al. · TNO Repository · 2006
Conventions such as iGrid 2005 and SuperComputing show that there is increasing demand for more service options on networks. For such networks, large teams of experts are needed to configure and manage them. In order to make the full potential of hybrid networks available to the ordinary user, the complexity must be reduced. This paper presents the idea of the Network Description Language (NDL), which builds on Semantic Web techniques to create a distributed Topology Knowledge Base (TKB). The TKB can provide a collection of reachability graphs, showing connectivity rules among physical and/or virtual entities. Latching onto the Semantic Web provides network management with a new breed of toolsâbots, compilers, browsers, both commercial offthe-shelf (COTS) and open source. The approach appears to be applicable to the Global Lambda Integrated Facility (GLIF) as well as otherexperimental communities.
Cited by 1Open access
Shufan Jiang · theses.fr (ABES) · 2022
Agriculture is entering the digital age through data (which opens up precision agriculture) or knowledge (which opens up new decision support tools). Modern technologies and IoT devices have been applied to improve agricultural processes. One application scenario is plant monitoring using sensors and data analysis techniques. However, most existing solutions based on specific devices and imaging technologies require a financial investment, which is inaccessible to small farmers. Furthermore, the lack of farmer input into data collection and decision-making in these solutions raises trust issues between farmers and smart farming technologies. On the other hand, textual data in agriculture, e.g. exchanges among farmers on social networks, can be a source of knowledge. This knowledge has great value when it is formalized, contextualized and integrated with other data. Crowdsensing is a sensing paradigm that allows ordinary people to contribute with data that their mobile devices equipped with sensors collect or generate. Farmers' observations reflect their knowledge and experience in plant health monitoring. Driven by the increasing connectivity of farmers and the emergence of online farming communities, this thesis proposes:(1) to use Twitter as an open crowdsensing platform to acquire people's perceptions of crop health so that we can include farmer participation in agricultural knowledge reconstruction.(2) to use pre-trained language models as an implicit and domain-specific knowledge base that integrates heterogeneous texts and supports information extraction from text.
Cited by 0Open access
Hubertus M. A, Andree Cees, T. A. M. Laat · 2008
b Nortel Labs, Boston MA, USA Conventions such as iGrid 2005 and SuperComputing show that there is an increasing demand for more service options on networks. For such networks, large teams of experts are needed to configure and manage them. In order to make the full potential of hybrid networks available to the ordinary user, the complexity must be reduced. This paper presents the idea of the Network Description Language (NDL), which builds on Semantic Web techniques to create a distributed Topology Knowledge Base (TKB). The TKB can provide a collection of reachability graphs, showing connectivity rules among physical and/or virtual entities. Latching onto the Semantic Web provides network management with a new breed of tools—bots, compilers, browsers, both commercial off-the-shelf (COTS) and open source. The approach appears to be applicable to the Global Lambda Integrated Facility (GLIF) as well as other experimental communities.
Cited by 0
Benjamin Sliwa, Thomas Liebig, Robert Falkenberg et al. · arXiv (Cornell University) · 2018
Upcoming Intelligent Traffic Control Systems (ITSCs) will base their\noptimization processes on crowdsensing data obtained for cars that are used as\nmobile sensor nodes. In conclusion, public cellular networks will be confronted\nwith massive increases in Machine-Type Communication (MTC) and will require\nefficient communication schemes to minimize the interference of Internet of\nThings (IoT) data traffic with human communication. In this demonstration, we\npresent an Open Source framework for context-aware transmission of vehicular\nsensor data that exploits knowledge about the characteristics of the\ntransmission channel for leveraging connectivity hotspots, where data\ntransmissions can be performed with a high grade if resource efficiency. At the\nconference, we will present the measurement application for acquisition and\nlive-visualization of the required network quality indicators and show how the\ntransmission scheme performs in real-world vehicular scenarios based on\nmeasurement data obtained from field experiments.\n
Cited by 0Open access
Freek Dijkstra A, Franco Travostino B, Hubertus M. A. Andree A · 2006
Conventions such as iGrid 2005 and SuperComputing show that there is increasing demand for more service options on networks. For such networks, large teams of experts are needed to configure and manage them. In order to make the full potential of hybrid networks available to the ordinary user, the complexity must be reduced. This paper presents the idea of the Network Description Language (NDL), which builds on Semantic Web techniques to create a distributed Topology Knowledge Base (TKB). The TKB can provide a collection of reachability graphs, showing connectivity rules among physical and/or virtual entities. Latching onto the Semantic Web provides network management with a new breed of tools—bots, compilers, browsers, both commercial offthe-shelf (COTS) and open source. The approach appears to be applicable to the Global Lambda Integrated Facility (GLIF) as well as other experimental communities. c ○ 2006 Jeroen van der Ham. Published by Elsevier B.V. All rights reserved.
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