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Attribute Acquisition in Ontology based on Representation Learning of Hierarchical Classes and Attributes [article]

Tianwen Jiang, Ming Liu, Bing Qin, Ting Liu
2019 arXiv   pre-print
The high performance of TransATT on attribute acquisition indicates the promising ability of the learned representation of class-paths and attributes.  ...  This paper investigates an attention-based automatic paradigm called TransATT for attribute acquisition, by learning the representation of hierarchical classes and attributes in Chinese ontology.  ...  Knowledge Base Representation Learning Knowledge base representation learning aims at offering a continuous knowledge representation paradigm by transforming the entities and relations into continuous  ... 
arXiv:1903.03282v1 fatcat:3hckddmo4jfxdixnuqk4wcpjw4


2006 International journal on artificial intelligence tools  
The articles in this special issue represent advances in several areas of knowledge acquisition and knowledge representation.  ...  In this article we attempt to place these advances in the context of a fundamental challenge in AI; namely, the automated acquisition of knowledge from data and the representation of this knowledge to  ...  Second, a staple of any knowledge acquisition approach is the ability to learn rules relating the selected features to the categories of interest.  ... 
doi:10.1142/s0218213006003016 fatcat:u4ftdbe34nbq7fs3lrq45awbv4

Capturing Multi-Perspective Knowledge of Job Activities for Training

Dimoklis Despotakis
2010 European Conference on Technology Enhanced Learning  
The aim of this doctoral project is to develop a novel approach for capturing multi-perspective knowledge of job related activities from existing digital records and personal experiences.  ...  The main limitations are the poor structure and the lack of approaches to retrieve the knowledge nuggets embedded in the existing digital content (e.g. videos or user stories) and to relate them to the  ...  The Acquisition Layer deals with the development of a model to capture multi-perspective knowledge of job-related activities.  ... 
dblp:conf/ectel/Despotakis10 fatcat:f2ae2xpxtvgnlgebktxmh3igli

Exploring Cognitive Processes of Knowledge Acquisition to Upgrade Academic Practices

Deepa Cherukunnath, Anita Puri Singh
2022 Frontiers in Psychology  
The objectives of the study were (i) to explore age-group specific inputs for knowledge acquisition, (ii) to relate knowledge organization to the cognitive processes, and (iii) to identify factors that  ...  (ii) Knowledge representations can be strengthened by domain-specific training inputs.  ...  AUTHOR CONTRIBUTIONS Both authors declare that the intellectual contribution and efforts were equally shared while conducting this review and they approve this for publication.  ... 
doi:10.3389/fpsyg.2022.682628 pmid:35602694 pmcid:PMC9120965 fatcat:skumwon53zgpnnmkknc4x3omjq

An Automated Learner for Extracting New Ontology Relations

Amaal Saleh Hassan Al Hashimy, Narayanan Kulathuramaiyer
2012 2012 International Conference on Advanced Computer Science Applications and Technologies (ACSAT)  
As this task "automatic recognition of semantic relations between pairs of words in text" can be used in many NLP applications, its implementation are demanding and may include many potential methodologies  ...  And as it includes semantic processing, the results produced still need enhancements and the outcome was always limited in terms of domain or coverage.  ...  Ontology is a formal representation of knowledge as a set of concepts within a domain, and the relationships between those concepts.  ... 
doi:10.1109/acsat.2012.95 fatcat:n35gxierijf3lh7cjsbhukzmyi

Integrating Multiple Knowledge Representations and Learning Capabilities in an Expert System: The ADVISE System

Ryszard S. Michalski, Arthur B. Baskin
1983 International Joint Conference on Artificial Intelligence  
It functions as a multi-purpose inference system that employs three knowledge representations: a rule-base, a conceptual network and a relational data base.  ...  In addition, it includes learning capabilities by incorporating the inductive learning programs GEM (for learning from examples) and CLUSTER (for constructing classifications).  ...  N000I4-82-K-0186 and in part by the National Science Foundation, Grant No. MCS 82-05166. The authors thank A. Boulanger, M. Seyler, L. Rodewald, K. Spackman, C. Uhrik and R.  ... 
dblp:conf/ijcai/MichalskiB83 fatcat:miy4ljymejcjppyrhxdx7vxlre

Construct a Multi-Modal English Learning Pattern

Xue Muqiu, Wang Luxue
2022 Journal of Education and Culture Studies  
This study will explore the psychological basis of English multi-modal learning as well as the channels and related integration of English multi-modal learning.  ...  The construction of multi-modal English learning needs to create an intelligent environment for students to acquire English learning information adequately.  ...  In the optimized intelligent environment, which contains English knowledge acquisition, English knowledge storage, English knowledge edit, English knowledge performance, English knowledge imparts and English  ... 
doi:10.22158/jecs.v6n2p122 fatcat:wtxqk3u7jnaghmkc6p3bdhww4u

Multi-Modal Knowledge Representation Learning via Webly-Supervised Relationships Mining

Fudong Nian, Bing-Kun Bao, Teng Li, Changsheng Xu
2017 Proceedings of the 2017 ACM on Multimedia Conference - MM '17  
Knowledge representation learning (KRL) encodes enormous structured information with entities and relations into a continuous low-dimensional semantic space.  ...  ., webly-supervised multi-modal relationship mining, and bi-enhanced cross-modal knowledge representation learning.  ...  To tackle the challenges in data acquisition and method design, the framework consists of webly-supervised multi-modal relationship mining and multi-modal knowledge representation learning, as shown in  ... 
doi:10.1145/3123266.3123443 dblp:conf/mm/NianBLX17 fatcat:e5wyg4iykzgexcb6vohf2okshm

A Survey on Knowledge Graphs: Representation, Acquisition and Applications [article]

Shaoxiong Ji and Shirui Pan and Erik Cambria and Pekka Marttinen and Philip S. Yu
2021 IEEE Transactions on Neural Networks and Learning Systems   accepted
In this survey, we provide a comprehensive review of knowledge graph covering overall research topics about 1) knowledge graph representation learning, 2) knowledge acquisition and completion, 3) temporal  ...  We further explore several emerging topics, including meta relational learning, commonsense reasoning, and temporal knowledge graphs.  ...  KNOWLEDGE REPRESENTATION LEARNING KRL is also known as KGE, multi-relation learning, and statistical relational learning in the literature.  ... 
doi:10.1109/tnnls.2021.3070843 pmid:33900922 arXiv:2002.00388v4 fatcat:4l2yxnf3wbg4zpzdumduvyr4he

Agent-Based Evolutionary Model for Knowledge Acquisition in Dynamical Environments [chapter]

Wojciech Froelich, Marek Kisiel-Dorohinicki, Edward Nawarecki
2006 Lecture Notes in Computer Science  
The basic idea of the approach proposed in this paper is to apply multiagent paradigm in order to enable the integration and co-operation of different knowledge acquisition and representation techniques  ...  In the discussed variant of the model, each agent uses reinforcement learning, and the obtained knowledge is represented as the set of simple decision rules.  ...  The knowledge acquisition is realized by using reinforcement learning [2] paradigms and a multi-agent evolution [5] .  ... 
doi:10.1007/11758532_109 fatcat:wlyptzpptzfhlbv6wammjffry4

When and Where in Skill Memory Consolidation: Neuro-Behavioral Constraints on the Acquisition and Generation of Procedural Knowledge

Avi Karni, Maria Korman
2011 BIO Web of Conferences  
Practice, given time and sometimes time-in-sleep, can trigger processes whereby new procedural knowledge and qualitative changes in task solution, emerge and consolidate.  ...  Compelling behavioral and neuro-imaging data suggest that the retention and perfection of skills (procedural knowledge) reflects long-lasting experience-(neural plasticity).  ...  The references provided, mainly from our own work on perceptual learning and motor skill acquisition can be consulted for perusing the actual data and as pointers to many related studies and papers that  ... 
doi:10.1051/bioconf/20110100047 fatcat:grxmbm4bozfmratp6gbpc6wq4e

Knowledge Representation Requirements for Intelligent Tutoring Systems [chapter]

Ioannis Hatzilygeroudis, Jim Prentzas
2004 Lecture Notes in Computer Science  
So, a multi-paradigm representation environment could provide a solution to requirements satisfaction.  ...  In this paper, we make a first effort to define requirements for knowledge representation (KR) in an ITS.  ...  One of them is the knowledge that he/she has learned. In this case, diagnosis refers to evaluation of learner's knowledge level. Other characteristics may be 'learning ability' and 'concentration'.  ... 
doi:10.1007/978-3-540-30139-4_9 fatcat:zdw6ve3z5vgvpcsvuqfgyj3gxe

Implementation Multi Representation and Oral Communication Skills in Department of Physics Education on Elementary Physics II

Intan Kusumawati, Putut Marwoto, Suharto Linuwih
2015 Journal of Materials Science and Engineering: A  
This study aimed to determine the ability of the students multi representation, relationships of multi representation capabilities and oral communication skills, as well as the application of the relations  ...  The ability of multi representation has been widely studied, but there has been no implementation through a model of learning.  ...  Acknowledgements Thanks to STKIP Singkawang-West Borneo on research grants awarded; and Department of Physics Education S1, Semarang State University Unnes, it has now been granted permission for research  ... 
doi:10.17265/2161-6213/2015.1-2.008 fatcat:avg7aigx5zbbpjry3234fd3qbq

Maize Disease Diagnosis Model Based on Ontology and Multi-Agent [chapter]

Liying Cao, Xiaoxian Zhang, Xiaohui San, Li Ma, Guifen Chen
2013 IFIP Advances in Information and Communication Technology  
Using the Agent's intelligence and the division collaboration of Agent modules, we have solved the bottleneck problem of the acquisition and representation of maize disease knowledge and improved the learning  ...  The knowledge representation of ontology provides a clear formal specification for the onset periods and symptom characteristics during maize disease occurs.  ...  Even if the expert system based on the model has the bottleneck problem of knowledge acquisition and representation, too.  ... 
doi:10.1007/978-3-642-36137-1_32 fatcat:wb36ixuthrfxjg37qo32ghnlwe

Probes Into Application of Multi-media Technology in Teaching Chinese as the Second Language Acquisition Class

Ling-wei YIN
2017 Sino-US English Teaching  
The purpose of employing multi-media technology is to encourage students' class participation, giving them explicit and specific impression of abstract contents and cultivating their intuitive grasp of  ...  Based on the current study of usage of multi-media technology in class teaching, this paper attempts to investigate mainly on its positive influence of multi-media technology in teaching.  ...  and extra knowledge in an attractive way.  ... 
doi:10.17265/1539-8072/2017.03.004 fatcat:uhk2ozorhbeh3ek3i23cthos4y
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