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Reduce the Warfighters' Cognitive Burden
[chapter]
2019
Lecture Notes in Computer Science
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ME adds a layer of operational viability to existing engineering processes with the goal of ensuring the program enhances knowledge sharing, reduces cognitive burdens, and increases semantic understanding ...
How well does your organization/domain share knowledge? What is the state of your data? Do you understand the cognitive requirements? ...
The CA then expands this concept to show how the combined information from internal and external sources creates knowledge. ...
doi:10.1007/978-3-030-23407-2_12
fatcat:3ju5h3yohbafhindtvvoej4yly
Semantic Personalisation in Networked Media: Determining the Background Knowledge
2012
2012 Seventh International Workshop on Semantic and Social Media Adaptation and Personalization
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Based on these aspects, the paper concludes with the reasoning behind the composition of an appropriate reference ontology for the personalisation task of the LinkedTV EU project. ...
This paper examines the requirements and argues about the features that an ontological knowledge base should encompass in order to represent semantic information pertinent to a user and suitable for context-aware ...
The Cognitive Characteristics Ontology [13] for instance provides a vocabulary for describing cognitive patterns for users within certain contexts, their temporal dynamics and their origins, on/for the ...
doi:10.1109/smap.2012.10
dblp:conf/smap/TsatsouMK12
fatcat:pr237hw7ezd7flxertjf4wiofa
Forming Cognitive Maps of Ontologies Using Interactive Visualizations
2021
Multimodal Technologies and Interaction
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During encounters with unfamiliar spaces, our cognitive processes align with the theoretical framework of cognitive map formation. ...
We then perform a review of existing tools which visualize ontology datasets and assess their interface design towards their alignment with the cognitive map framework. ...
Tune cognitive load to specific needs Designs should provide a cognitive load which is aligned with the conditions for an effective learning environment for ontology datasets. ...
doi:10.3390/mti5010002
fatcat:vhhzjhlcivcongepttjzk67rlq
SHELDON: Semantic Holistic FramEwork for LinkeD ONtology Data
[chapter]
2015
Lecture Notes in Computer Science
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It is a framework that builds upon a machine reader for extracting RDF graphs from text so that the output is compliant to Semantic Web and Linked Data patterns. ...
type induction, sentiment analysis, citation inference, relation and event extraction) as well as nice visualization tools which make use of the JavaScript infoVis Toolkit and RelFinder, as well as a knowledge ...
expanding tacit knowledge extracted from text, etc. ...
doi:10.1007/978-3-319-17966-7_17
fatcat:gvpjc7bwjncgnpk54min2lfiwa
Foundations of Explainable Knowledge-Enabled Systems
[article]
2020
arXiv
pre-print
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We present a historical overview of explainable artificial intelligence systems, with a focus on knowledge-enabled systems, spanning the expert systems, cognitive assistants, semantic applications, and ...
With the proliferation of AI-enabled systems in sometimes critical settings, there is a need for them to be explainable to end-users and decision-makers. ...
These efforts include alignment of PROV-O with standard ontologies, such as, the TIME ontology, Semantic Sensor Network Ontology (SSN), and the Basic Formal Ontology (BFO). ...
arXiv:2003.07520v1
fatcat:pz54e4ag35hf3osr7dfbmhb4ze
Robot ontologies for sensor- and Image-guided surgery
2013
2013 IEEE International Symposium on Robotic and Sensors Environments (ROSE)
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It is believed that ontologies can bridge human cognitive understanding and robotic reasoning (machine intelligence). ...
Providing smarter and better medical robots requires a systematic approach in describing and translating human processes for the robots. ...
The knowledge management module for cognitive architectures in robotics ORO, is used to map the robot services to the orthopedic ontology [26] . ...
doi:10.1109/rose.2013.6698412
dblp:conf/rose/HaideggerBGHRLVPP13
fatcat:orgzakn4tbbodj2aa7jmupurxm
DSSim Results for OAEI 2009
2009
International Semantic Web Conference
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The growing importance of ontology mapping on the Semantic Web has highlighted the need to manage the uncertain nature of interpreting semantic meta data represented by heterogeneous ontologies. ...
Considering this uncertainty one can potentially improve the ontology mapping precision, which can lead to better acceptance of systems that operate in this environment. ...
After the relation r 1,n has been classified independently for entities in the first of aligned ontologies O 1 and r 2,m separately for entities form the other ontology O 2 , the alignments may be produced ...
dblp:conf/semweb/NagyVS08
fatcat:ifyrvrjoljfbrdrmkj2zlktthu
Multi-Agent Ontology Mapping with Uncertainty on the Semantic Web
2007
2007 IEEE International Conference on Intelligent Computer Communication and Processing
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The increasing number of ontologies of the Semantic Web poses new challenges for ontology mapping. ...
Ontology mapping in the context of Question Answering can provide more correct results if the mapping process can deal with uncertainty effectively that is caused by the incomplete and inconsistent information ...
Further each generated ontology was aligned with the reference ontology. ...
doi:10.1109/iccp.2007.4352141
fatcat:z7fh5hguenapxg6i3iw2gpy6gu
Extending XNAT Platform with an Incremental Semantic Framework
2017
Frontiers in Neuroinformatics
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We follow a layered architecture that allows the alignment of multi-domain biomedical ontologies to manage data at different levels of abstraction. ...
With the aim of improving the application of semantic models in biobanking systems, an incremental semantic framework that takes advantage of the latest advances in biomedical ontologies and the XNAT platform ...
It takes advantage of the logical model defined in the ontologies and expands it with more explicit SPIN rules and constructs. ...
doi:10.3389/fninf.2017.00057
pmid:28912709
pmcid:PMC5583223
fatcat:nkkveq3lh5akrie3mihpu54dca
A computational tool for creative idea generation based on analogical reasoning and ontology
2018
Artificial intelligence for engineering design, analysis and manufacturing
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AbstractAnalogy is a core cognition process used to produce inferences as well as new ideas using previous knowledge and experience. ...
This paper explores an approach to construct ontologies with sufficient richness and coverage to support reasoning over real-world datasets for prompting creative idea generation. ...
The included data was created by contributors to Commonsense Computing projects, contributors to Wikimedia projects, Games with a Purpose, Princeton University's WordNet, DBPedia, OpenCyc, and Umbel. ...
doi:10.1017/s0890060418000082
fatcat:rl3tvsggcbce5g2ccu7rboc72a
HyperTwitter: Collaborative Knowledge Engineering via Twitter Messages
[chapter]
2010
Lecture Notes in Computer Science
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In this paper, we propose to use the underlying interaction pattern, and existing respective services, for the collaborative construction and maintenance of structured knowledge representations. ...
A recent trend in the evolution of the Web is the massive contribution of small chunks of content by regular users, typically in combination with mechanisms for fostering social interaction. ...
statements into their tweets, which can then be used for query expansion or combined with other RDF data sources. ...
doi:10.1007/978-3-642-16438-5_35
fatcat:asaunbfmkjdbbjdr74kr26wxw4
Development and use of Ontologies Inside the Neuroscience Information Framework: A Practical Approach
2012
Frontiers in Genetics
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One of the critical components for the overall NIF system, the NIF Standardized Ontologies (NIFSTD), provides an extensive collection of standard neuroscience concepts along with their synonyms and relationships ...
Since the first production release in 2008, NIF has grown significantly in content and functionality, particularly with respect to the ontologies and ontology-based services that drive the NIF system. ...
ACKNOWLEDGMENTS Supported for NIF is provided by a contract from the NIH Neuroscience Blueprint HHSN271200800035C via the National Institute on Drug Abuse. ...
doi:10.3389/fgene.2012.00111
pmid:22737162
pmcid:PMC3381282
fatcat:5d6g6al7gnbxpgkqpqoyaswscy
The Rich Event Ontology
2017
Proceedings of the Events and Stories in the News Workshop
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We envision the open resource serving as a valuable tool for both moving from the ontology to text to query for event types and scenarios of interest, and for moving from text to the ontology to access ...
them with event-to-event causal and temporal relations. ...
Finally, we thank our anonymous reviewers for their constructive feedback. ...
doi:10.18653/v1/w17-2712
dblp:conf/acl/BrownBOP17
fatcat:xypdmq7u6zevpg7ixizxrioziy
C3W semantic Temporal Entanglement Modelling for Human - Machine Interfaces
[chapter]
2012
Semantics - Advances in Theories and Mathematical Models
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Secondly, WOSSI uses cognitive bases with hybrid semantics to facilitate moving from the macro, meso, micro, and quantum-nano scales with minimal support conjectures [9]. ...
What may exist are Human-machine interfaces information and knowledge critical path for Kernel (e.g. biological and non-biological) with a number of Rubik-Schlangen type three-dimensional system and wisdom-based ...
Dimension Definition
Operationalization
Cognitive Intrapersonal and interpersonal meaning
of phenomena and events with
knowledge and acceptance
Ability and willingness to understand
the Knowledge ...
doi:10.5772/38688
fatcat:neqc2335sjfizohlrvvqim2pdi
BCI Ontology: A Context-based Sense and Actuation Model for Brain-Computer Interactions
2018
International Semantic Web Conference
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We present the BCI Ontology (BCI-O): the first OWL 2 ontology that formalizes relevant metadata for BCI data capture activities by integrating BCI-domain-specific Sense and Actuation Models along with ...
At its core, BCI-O defines a human-environment interaction model for any BCI, based on design patterns and primarily aligned to the SOSA/SSN, SAN -IoT-Oand DUL ontologies. ...
aware for real/virtual-world situations. Thus, it gives a semantic foundation for augmented BCI, assisting ambient intelligence's settings in sensor systems for any kind of BCI. ...
dblp:conf/semweb/MendezZ18
fatcat:2rijk5d7kvda3fb4747e3ppcma
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