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Towards LarKC: A Platform for Web-Scale Reasoning

Dieter Fensel, Frank van Harmelen, Bo Andersson, Paul Brennan, Hamish Cunningham, Emanuele Della Valle, Florian Fischer, Zhisheng Huang, Atanas Kiryakov, Tony Kyung-il Lee, Lael Schooler, Volker Tresp (+3 others)
2008 2008 IEEE International Conference on Semantic Computing  
and realizing it both on a high-performance computing cluster and via "computing at home".  ...  and content management in enterprises with thousands of knowledge workers.  ...  If the Web is to capture the entirety of human knowledge, the number of axioms ends up being very large. with no defined boundaries.  ... 
doi:10.1109/icsc.2008.41 dblp:conf/semco/FenselHABCVFHKLSTWWZ08 fatcat:bxvttqkjebafvborrozljv3uny

Knowledge-based fuzzy model for performance prediction of a rock-cutting trencher

M.H. den Hartog, R. Babuška, H.J.R. Deketh, M. Alvarez Grima, P.N.W. Verhoef, H.B. Verbruggen
1997 International Journal of Approximate Reasoning  
A knowledge-based fuzzy model for performance prediction of a rock-cutting trencher has been developed.  ...  A trencher is a machine that uses a rotating cutting chain equipped with bits to excavate trenches in rock and soil.  ...  is VERY HIGH, which means that the excavation of thin slabs with a favorable orientation results in a very high production rate (the trencher is able to break the slabs).  ... 
doi:10.1016/s0888-613x(96)00118-1 fatcat:7zjdwsldozbqnntusml4wi6z7m

A Semantic Approach for Entity Linking by Diverse Knowledge Integration incorporating Role-Based Chunking

Gerard Deepak, Naresh Kumar D, A Santhanavijayan
2020 Procedia Computer Science  
With the development of the Semantic Web in recent times, semantic strategies are required to represent, reason and link entities.  ...  With the increase in the data on the web, the process of associating entities with required knowledge becomes extremely difficult.  ...  With all these increasing data it becomes very difficult to find a way to link all the available world wide web entities. Data is large but there is no sufficient knowledge to link all the data.  ... 
doi:10.1016/j.procs.2020.03.339 fatcat:lx2ihhxq3zhmhnxfspk7gkdwn4

Designing a Fuzzy Expert System to Evaluate Alternatives in Fuzzy Analytic Hierarchy Process

Hamed Fazlollahtabar, Hamid Eslami, Hamidreza Salmani
2010 Journal of Software Engineering and Applications  
This paper concerns with proposing a fuzzy logic based expert system to breakthrough the problem of alternatives evaluation in Analytic Hierarchy Process (AHP).  ...  experts know, and how they reason with their knowledge.  ...  Knowledge acquisition refers to the task of endowing expert systems with knowledge, a task currently performed by knowledge engineers.  ... 
doi:10.4236/jsea.2010.34046 fatcat:nzsu4zaidjaudmogrl7y2ewck4

Learning of content knowledge and development of scientific reasoning ability: A cross culture comparison

Lei Bao, Kai Fang, Tianfang Cai, Jing Wang, Lijia Yang, Lili Cui, Jing Han, Lin Ding, Ying Luo
2009 American Journal of Physics  
Student content knowledge and general reasoning abilities are two important areas in education practice and research.  ...  The results suggest that years of rigorous training of physics knowledge in middle and high schools have made significant impact on Chinese students' ability in solving physics problems, while such training  ...  ACKNOWLEDGMENTS We wish to thank all the teachers helped with this research.  ... 
doi:10.1119/1.2976334 fatcat:hjhegkuhovcjxep7qy4hwoac4m

Introducing a New Scalable Data-as-a-Service Cloud Platform for Enriching Traditional Text Mining Techniques by Integrating Ontology Modelling and Natural Language Processing [chapter]

Alexey Cheptsov, Axel Tenschert, Paul Schmidt, Birte Glimm, Mauricio Matthesius, Thorsten Liebig
2014 Lecture Notes in Computer Science  
The technique is inherently designed with parallelism in mind, which allows for high performance on large-scale Cloud computing infrastructures.  ...  and technological domains is to retrieve information from text data, aiming to get a deeper insight into the content represented by the data in order to obtain some useful, often not explicitly stated knowledge  ...  However, automatic knowledge extraction from large text collections, also considering external data sources (e.g., Wikipedia), is a nontrivial and very challenging task.  ... 
doi:10.1007/978-3-642-54370-8_6 fatcat:qoxc6xntnbczlp247iak3fb7dm

State of scientific knowledge about the need of recovery time at specific workplaces and recomendations for further research

C Mühlemeyer, A Klussmann, H Gebhardt, KH Lang
2012 Work : A journal of Prevention, Assesment and rehabilitation  
The very resource intensive development of more detailed results based on the existing level of scientific knowledge is assumed as one reason for this.  ...  Previous studies were largely based on expert opinions or were generated within small and non-representative groups. Often, laboratory experiments were carried out with a low number of subjects.  ...  The very resource intensive development of more detailed results based on the existing level of scientific knowledge is assumed as one reason.  ... 
doi:10.3233/wor-2012-0385-1778 fatcat:wovgsf2zirf2bh5vpcig47ngpq

Reasoning-RCNN: Unifying Adaptive Global Reasoning Into Large-Scale Object Detection

Hang Xu, Chenhan Jiang, Xiaodan Liang, Liang Lin, Zhenguo Li
2019 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  
In this paper, we address the large-scale object detection problem with thousands of categories, which poses severe challenges due to long-tail data distributions, heavy occlusions, and class ambiguities  ...  In this work, we introduce a novel Reasoning-RCNN to endow any detection networks the capability of adaptive global reasoning over all object regions by exploiting diverse human commonsense knowledge.  ...  Significant performance gap can also be observed for those rare categories with very few samples (See Supplementary materials for details).  ... 
doi:10.1109/cvpr.2019.00658 dblp:conf/cvpr/XuJLLL19 fatcat:v3h7wewufjbpthr2l3ka6q4dfa

Interactive media for parental education on managing children chronic condition: a systematic review of the literature

Ali Annaim, Mia Lassiter, Anthony J. Viera, Maria Ferris
2015 BMC Pediatrics  
Conclusion: We found limited evidence of the effectiveness of using serious games and or interactive media to educate parents of children with chronic conditions.  ...  The main objective of this systematic review is to examine the literature for research evaluating the use of interactive media in the education of parents of children with chronic conditions.  ...  No reason to downgrade. High quality study (4) Randomized control trial-High quality study (4) Large Magnitude of effect: There was not that large of an effect seen in the study.  ... 
doi:10.1186/s12887-015-0517-2 pmid:26634913 pmcid:PMC4668689 fatcat:xu3s6xccinaebncrsthi4hmb4a

An Improved High Risk Prediction in Health Examination Record Using Data Mining

Narmatha A, R. Abinaya Revathy, Mr. Radhakrishnan S.
2017 IJARCCE  
This algorithm constructs a training set from the diabetes records with unlabelled classes and performs risk analysis with user queries reports.  ...  Relationships and patterns within the data can provide new medical knowledge.  ...  KDD is the process of extracting useful knowledge from large datasets.  ... 
doi:10.17148/ijarcce.2017.63132 fatcat:bcskfwmuyvh6vkdyrexzqpa3ei

Towards a Global Scale Semantic Web [chapter]

Zhengxiang Pan
2006 Lecture Notes in Computer Science  
My prior work includes DLDB, a knowledge base system that extends a RDBMS with additional capabilities for partial OWL reasoning.  ...  Problem Statement Traditionally Semantic Web knowledge bases are based on description logic reasoners. These reasoners usually employ tableaux algorithms to do reasoning.  ... 
doi:10.1007/11926078_80 fatcat:we3rbatkxnh43oddets5473dym

Mobile Communication Network Optimization System Based on Artificial Intelligence

Chao Duan, Jun Luo, Balakrishnan Nagaraj
2021 Wireless Communications and Mobile Computing  
In the form of an artificial intelligence agent, iOS2CMCN absorbs the experience and knowledge of a large number of network optimization engineers and experts and realizes the intelligence and automation  ...  It is proven that the fuzzy technology is introduced in theory, the practical problem is reasonably modeled, and the rule and case reasoning are used to simulate the thinking mode of a human being when  ...  High High High High 87 Quantitative values 0.9 0.85 0 0.87 0.7 0.1 0.8 The fuzzy degree Low High No Very high Low High Very high Table 2 : 2 Comparison of the optimization  ... 
doi:10.1155/2021/9999873 fatcat:n3asfrjmtze73mzxc4sziztos4

CREAK: A Dataset for Commonsense Reasoning over Entity Knowledge [article]

Yasumasa Onoe, Michael J.Q. Zhang, Eunsol Choi, Greg Durrett
2021 arXiv   pre-print
Crowdworkers can easily come up with these statements and human performance on the dataset is high (high 90s); we argue that models should be able to blend entity knowledge and commonsense reasoning to  ...  Can models learn to combine entity knowledge with commonsense reasoning in this fashion?  ...  This process was crucial for very high human performance (99% majority human performance), as we will see in the experiments.  ... 
arXiv:2109.01653v1 fatcat:x6jmm7k7kfejjpl7pgamny25tq

Introduction to IBM's knowledge-systems products

A. J. Symonds
1986 IBM Systems Journal  
Mainframes with their processing power, large mem- ory, and efficient paging can support a high-perform- ance symbolic processing subsystem.  ...  feel that it is very suitable for productive develop- IBM SYSTEMS JOURNAL, VOL 25, NO 2, 1986 ment of high-performance knowledge systems and natural-language applications.  ... 
doi:10.1147/sj.252.0134 fatcat:wu7gb7a5zrdlbj6v22thnx56za

WinoWhy: A Deep Diagnosis of Essential Commonsense Knowledge for Answering Winograd Schema Challenge [article]

Hongming Zhang, Xinran Zhao, Yangqiu Song
2020 arXiv   pre-print
to develop a new task called WinoWhy, which requires models to distinguish plausible reasons from very similar but wrong reasons for all WSC questions.  ...  ., what kind of knowledge cannot be effectively represented or inferred with existing methods) and shed some light on the commonsense knowledge that we need to acquire in the future for better commonsense  ...  Table 6 : 6 Performances of different models on WinoWhy questions. We report performances of different reason sets based on the required knowledge types.  ... 
arXiv:2005.05763v1 fatcat:jqngr4agbbh6dpq73tkrimvtuu
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