Pub Date : 2023-01-01DOI: 10.1017/s0269888923000085
Yao Yao, Junying Liu, Conor Ryan
Abstract Efficient knowledge extraction from Big Data is quite a challenging topic. Recognizing relevant concepts from unannotated data while considering both context and domain knowledge is critical to implementing successful knowledge extraction. In this research, we provide a novel platform we call Active Learning Integrated with Knowledge Extraction (ALIKE) that overcomes the challenges of context awareness and concept extraction, which have impeded knowledge extraction in Big Data. We propose a method to extract related concepts from unorganized data with different contexts using multiple agents, synergy, reinforcement learning, and active learning. We test ALIKE on the datasets of the COVID-19 Open Research Dataset Challenge. The experiment result suggests that the ALIKE platform can more efficiently distinguish inherent concepts from different papers than a non-agent-based method (without active learning) and that our proposed approach has a better chance to address the challenges of knowledge extraction with heterogeneous datasets. Moreover, the techniques used in ALIKE are transferable across any domain with multidisciplinary activity.
{"title":"Using active learning and an agent-based system to perform interactive knowledge extraction based on the COVID-19 corpus","authors":"Yao Yao, Junying Liu, Conor Ryan","doi":"10.1017/s0269888923000085","DOIUrl":"https://doi.org/10.1017/s0269888923000085","url":null,"abstract":"Abstract Efficient knowledge extraction from Big Data is quite a challenging topic. Recognizing relevant concepts from unannotated data while considering both context and domain knowledge is critical to implementing successful knowledge extraction. In this research, we provide a novel platform we call Active Learning Integrated with Knowledge Extraction (ALIKE) that overcomes the challenges of context awareness and concept extraction, which have impeded knowledge extraction in Big Data. We propose a method to extract related concepts from unorganized data with different contexts using multiple agents, synergy, reinforcement learning, and active learning. We test ALIKE on the datasets of the COVID-19 Open Research Dataset Challenge. The experiment result suggests that the ALIKE platform can more efficiently distinguish inherent concepts from different papers than a non-agent-based method (without active learning) and that our proposed approach has a better chance to address the challenges of knowledge extraction with heterogeneous datasets. Moreover, the techniques used in ALIKE are transferable across any domain with multidisciplinary activity.","PeriodicalId":49940,"journal":{"name":"Knowledge Engineering Review","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135507335","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1017/s0269888923000097
Diaeddin Alarnaouti, George Baryannis, Mauro Vallati
Abstract Automated planning is a prominent area of Artificial Intelligence and an important component for intelligent autonomous agents. A cornerstone of domain-independent planning is the separation between planning logic, that is the automated reasoning side, and the knowledge model, that encodes a formal representation of domain knowledge needed to reason upon a given problem to synthesize a solution plan. Such a separation enables the use of reformulation techniques, which transform how a model is represented in order to improve the efficiency of plan generation. Over the past decades, significant research effort has been devoted to the design of reformulation techniques. In this paper, we present a systematic review of the large body of work on reformulation techniques for classical planning, aiming to provide a holistic view of the field and to foster future research in the area. As a tangible outcome, we provide a qualitative comparison of the existing classes of techniques, that can help researchers gain an overview of their strengths and weaknesses.
{"title":"Reformulation techniques for automated planning: a systematic review","authors":"Diaeddin Alarnaouti, George Baryannis, Mauro Vallati","doi":"10.1017/s0269888923000097","DOIUrl":"https://doi.org/10.1017/s0269888923000097","url":null,"abstract":"Abstract Automated planning is a prominent area of Artificial Intelligence and an important component for intelligent autonomous agents. A cornerstone of domain-independent planning is the separation between planning logic, that is the automated reasoning side, and the knowledge model, that encodes a formal representation of domain knowledge needed to reason upon a given problem to synthesize a solution plan. Such a separation enables the use of reformulation techniques, which transform how a model is represented in order to improve the efficiency of plan generation. Over the past decades, significant research effort has been devoted to the design of reformulation techniques. In this paper, we present a systematic review of the large body of work on reformulation techniques for classical planning, aiming to provide a holistic view of the field and to foster future research in the area. As a tangible outcome, we provide a qualitative comparison of the existing classes of techniques, that can help researchers gain an overview of their strengths and weaknesses.","PeriodicalId":49940,"journal":{"name":"Knowledge Engineering Review","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135507662","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Developing and Validating the Vice-Principal Competencies Inventory","authors":"DongIn Seo, Y. Choi, Sang-hun Lee, H. Oh","doi":"10.29318/KER.27.1.8","DOIUrl":"https://doi.org/10.29318/KER.27.1.8","url":null,"abstract":"","PeriodicalId":49940,"journal":{"name":"Knowledge Engineering Review","volume":"122 1","pages":"217-241"},"PeriodicalIF":2.1,"publicationDate":"2021-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82484127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"How COVID-19 brought Changes and Opportunities to South Korean Universities: Perceptions of 4-Year University Deans and Directors","authors":"K. Byun, D. Son, Seunghee Lee, Sung-Bu Cho","doi":"10.29318/KER.27.1.7","DOIUrl":"https://doi.org/10.29318/KER.27.1.7","url":null,"abstract":"","PeriodicalId":49940,"journal":{"name":"Knowledge Engineering Review","volume":"24 1","pages":"177-216"},"PeriodicalIF":2.1,"publicationDate":"2021-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72795733","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Case Study of K University on the Phenomenon of Academic Capitalism","authors":"Minsoo Kang","doi":"10.29318/KER.27.1.1","DOIUrl":"https://doi.org/10.29318/KER.27.1.1","url":null,"abstract":"","PeriodicalId":49940,"journal":{"name":"Knowledge Engineering Review","volume":"24 1","pages":"1-40"},"PeriodicalIF":2.1,"publicationDate":"2021-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79251417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Longitudinal Change and Influencing Factors of Career Development in University Students","authors":"Sohee Park, Jinsil Lee","doi":"10.29318/KER.27.1.6","DOIUrl":"https://doi.org/10.29318/KER.27.1.6","url":null,"abstract":"","PeriodicalId":49940,"journal":{"name":"Knowledge Engineering Review","volume":"27 1","pages":"147-175"},"PeriodicalIF":2.1,"publicationDate":"2021-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79387203","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Qualitative Case Study on the Research School for the “Stabilization of Free-Semester Activities”","authors":"Kyungbin Park, Young-Shin Joo","doi":"10.29318/KER.27.1.5","DOIUrl":"https://doi.org/10.29318/KER.27.1.5","url":null,"abstract":"","PeriodicalId":49940,"journal":{"name":"Knowledge Engineering Review","volume":"56 6","pages":"119-146"},"PeriodicalIF":2.1,"publicationDate":"2021-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72470646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An Evaluation of Educational Policy in Jeju Special Self-Governing Provincial Office of Education","authors":"Y. Kim, Dae-Seok Kim","doi":"10.29318/KER.27.1.4","DOIUrl":"https://doi.org/10.29318/KER.27.1.4","url":null,"abstract":"","PeriodicalId":49940,"journal":{"name":"Knowledge Engineering Review","volume":"1 1","pages":"97-117"},"PeriodicalIF":2.1,"publicationDate":"2021-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77906990","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analysis of Policy Change Process in College Admission Based on Kingdon's Policy Streams Model","authors":"Sunhoi An","doi":"10.29318/KER.27.1.9","DOIUrl":"https://doi.org/10.29318/KER.27.1.9","url":null,"abstract":"","PeriodicalId":49940,"journal":{"name":"Knowledge Engineering Review","volume":"55 1","pages":"243-280"},"PeriodicalIF":2.1,"publicationDate":"2021-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75110546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Study on the Factors of Psychological Well-being Influencing Vocational Identity: The Importance of Purpose in Life","authors":"Minyoung Lee","doi":"10.29318/KER.27.1.11","DOIUrl":"https://doi.org/10.29318/KER.27.1.11","url":null,"abstract":"","PeriodicalId":49940,"journal":{"name":"Knowledge Engineering Review","volume":"8 1","pages":"305-326"},"PeriodicalIF":2.1,"publicationDate":"2021-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83633787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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