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Adaptive Low-level Storage of Very Large Knowledge Graphs [article]

Jacopo Urbani, Ceriel Jacobs
2020 arXiv   pre-print
We propose Trident, a novel storage architecture for very large KGs on centralized systems.  ...  The increasing availability and usage of Knowledge Graphs (KGs) on the Web calls for scalable and general-purpose solutions to store this type of data structures.  ...  CONCLUSION We proposed a novel centralized architecture for the low-level storage of very large KGs which provides both node-and edge-centric access to the KG.  ... 
arXiv:2001.09078v1 fatcat:thbu2agwj5ae7nwtuarfrbxeai

Adaptive Low-level Storage of Very Large Knowledge Graphs

Jacopo Urbani, Ceriel Jacobs
2020 Proceedings of The Web Conference 2020  
We propose Trident, a novel storage architecture for very large KGs on centralized systems.  ...  The increasing availability and usage of Knowledge Graphs (KGs) on the Web calls for scalable and general-purpose solutions to store this type of data structures.  ...  CONCLUSION In this paper, we proposed a novel centralized architecture for the low-level storage of very large KGs which provides both node-and edge-centric access to the KG.  ... 
doi:10.1145/3366423.3380246 dblp:conf/www/UrbaniJ20 fatcat:pryxyqw2ovhetbgjfa5hmdgq5u

iCostale: Adaptive Cost Optimization for Storage Clouds

Sandip Agarwala, Divyesh Jadav, Luis A. Bathen
2011 2011 IEEE 4th International Conference on Cloud Computing  
This paper presents an integrated storage service called iCostale that reduces the overall cost of data storage through automatic selection and placement of users data into one of many storage clouds.  ...  The unprecedented volume of data generated by contemporary business users and consumers has created enormous data storage and management challenges.  ...  It can be adapted very easily to accommodate the tiered and other pricing models of the providers. D.  ... 
doi:10.1109/cloud.2011.88 dblp:conf/IEEEcloud/AgarwalaJB11 fatcat:y2myk2ut75ckzlfbffrnmompzy

Toward Adaptability of E-Evaluation: Transformation from Tree-Based to Graph-Based Structure

Asta Margienė, Simona Ramanauskaitė
2021 Applied Sciences  
Research results revealed that the competence tree-based learning material storage is more reusable than graph-based solutions.  ...  While adaptive e-learning methods exist, their practical application is slow because of the additional time and resources needed to prepare learning material and its logical adaptation.  ...  It is not a very important factor for the knowledge evaluation path, however illustrated the relative storage need to store the same test resources in different formats.  ... 
doi:10.3390/app11094082 fatcat:r4tjmjmyfbaixphexnh2t4katq

A Case Study on Climate Change Response and Adaptation: Fictional Aysese Islands in the South Pacific

Amy Cannon, Peter Lalor, Shobha Sriharan, Chunlei Fan, Gulnihal Ozbay
2014 American Journal of Climate Change  
A case study that assesses the impacts of, and adaptations to, these changes in climate is presented here.  ...  This warming has caused the amount of ice on the Earth to continue to decrease and sea levels to rise.  ...  Richard Warrick, of CLIM Systems and University of the Sunshine Coast for providing us with a set of tools that have been invaluable in producing this information.  ... 
doi:10.4236/ajcc.2014.35040 fatcat:2t6imwsxsvcyhbnnas3q3me6ga

Towards a Knowledge Graph for Science

Sören Auer, Viktor Kovtun, Manuel Prinz, Anna Kasprzik, Markus Stocker, Maria Esther Vidal
2018 Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics - WIMS '18  
As our main contribution, we propose the vision of a knowledge graph for science, present a possible infrastructure for such a knowledge graph as well as our early attempts towards an implementation of  ...  information through semantically rich, interlinked knowledge graphs.  ...  ACKNOWLEDGMENTS The authors would like to thank the participants of a related workshop held at TIB on March 20, 2018 for their contributions to current developments on the Open Research Knowledge Graph  ... 
doi:10.1145/3227609.3227689 dblp:conf/wims/AuerKPKSV18 fatcat:3adpmldez5h2dbj4v3mbyt343a

A REASONING COMPONENT'S CONSTRUCTION FOR PLANNING REGIONAL AGRICULTURAL ADVANTAGEOUS INDUSTRY DEVELOPMENT [chapter]

Yue Fan, Yeping Zhu
2009 IFIP Advances in Information and Communication Technology  
In order to achieve the planned to be adopted are clarified in details, and the structure graph and functions graph of it have also been designed.  ...  After that, a new method is proposed that developing a system for planning regional agricultural advantageous industry development to help leaders and decision-making departments at all levels to make  ...  A database tries to implement effective storage and search from large amount of data, while a knowledge base to fulfill effective knowledge representation and reasoning mechanism.  ... 
doi:10.1007/978-1-4419-0211-5_57 fatcat:zilzy3smena7zhr26aln2thjzq

Semi-supervised semantic labeling of adaptive cell decomposition maps in well-structured environments

Saeed Gholami Shahbandi, Bjorn Astrand, Roland Philippsen
2015 2015 European Conference on Mobile Robots (ECMR)  
Compared to related methods, our approach obviates the need for a low-level link between human knowledge and the perception and mapping sub-system, or the onerous preparation of training data for supervised  ...  We present a semi-supervised approach for semantic mapping, by introducing human knowledge after unsupervised place categorization has been combined with an adaptive cell decomposition of an occupancy  ...  Low level delivery of human defined semantic to robots covers research that provides training data with semantic labels.  ... 
doi:10.1109/ecmr.2015.7324207 dblp:conf/ecmr/ShahbandiAP15 fatcat:4di5niskbvhkpkowiaaicnns7i

Guest Editorial: Big Data Analytics and the Web

Quan Z. Sheng, Athanasios V. Vasilakos, Qi Yu, Lina Yao
2015 IEEE Transactions on Big Data  
turns low-level data into actionable knowledge towards better understanding and manipulation of Big Data.  ...  The authors propose a two-tier index architecture on each of the distributed computation nodes, including a lightweight primary index to keep loading time low and a series of dynamic, multi-level secondary  ...  turns low-level data into actionable knowledge towards better understanding and manipulation of Big Data.  ... 
doi:10.1109/tbdata.2016.2518778 fatcat:kzrmvmtur5e3vfdc7cnsbyaoja

Pesticides Empty Containers (EPC) in the Area of Ouagadougou: Actors, Risks and Prospects of Secure Management [chapter]

Gomgnimbou P.K, Ouedraogo W.
2011 Pesticides in the Modern World - Trends in Pesticides Analysis  
Vegetation: The canopy is the most dominant shrub savannah dotted with clear large trees and an herbaceous layer. At the level of the alluvial terraces and along the main drainage, www.intechopen.com  ...  Regarding temperatures, they vary between 22 ° and 35 ° minimum of maxima. Soils: they are essentially tropical ferruginous laterite type and clay resting on a large mass of granite cracked.  ...  Famers surveyed profile The graph 4 shows a very low schooling standard (7%) which is directly linked with the finding about the knowledge of the methods to lessen the risks.  ... 
doi:10.5772/16483 fatcat:rf5uweuxj5ebzcz2scrzu4yheq

Improving large graph processing on partitioned graphs in the cloud

Rishan Chen, Mao Yang, Xuetian Weng, Byron Choi, Bingsheng He, Xiaoming Li
2012 Proceedings of the Third ACM Symposium on Cloud Computing - SoCC '12  
As the study of large graphs over hundreds of gigabytes becomes increasingly popular for various data-intensive applications in cloud computing, developing large graph processing systems has become a hot  ...  In this paper, we develop a novel graph partitioning framework to improve the network performance of graph partitioning itself, partitioned graph storage and vertexoriented graph processing.  ...  The work of Rishan Chen, Xuetian Weng and Xiaoming Li was partly supported by NSFC Grant 60933004 and SKLSDE-2010KF-03 of State Key Laboratory of Software Development Environment at Beihang University.  ... 
doi:10.1145/2391229.2391232 dblp:conf/cloud/ChenYWCHL12 fatcat:2ofqyirazjcrpbdjby63zimtbq

Towards fully-fledged archiving for RDF datasets

Olivier Pelgrin, Luis Galárraga, Katja Hose, Axel-Cyrille Ngonga Ngomo, Muhammad Saleem, Ruben Verborgh
2021 Semantic Web Journal  
The dynamicity of RDF data has motivated the development of solutions for archiving, i.e., the task of storing and querying previous versions of an RDF dataset.  ...  Notwithstanding the value of RDF archiving, the state of the art in this field is under-developed: (i) most existing systems are neither scalable nor easy to use, (ii) there is no standard way to query  ...  can store the release history of very large RDF datasets.  ... 
doi:10.3233/sw-210434 fatcat:lhks4tpsx5hoxirklcqnvulvhu

Temporal Models for History-Aware Explainability

Juan Marcelo Parra-Ullauri, Antonio García-Domínguez, Luis Hernán García-Paucar, Nelly Bencomo
2020 Proceedings of the 12th System Analysis and Modelling Conference on ZZZ  
We demonstrate our current reassuring results related to Level 1 and Level 2, using temporal graph-based models.  ...  We also present how to enable on-line historical analyses while the self-adaptive system is running, underpinned by the capabilities provided by Level 2.  ...  Self-awareness is seen as a low level of abstraction of self-adaptivity [33] , allowing for improvement of the self-adaptivity of a system.  ... 
doi:10.1145/3419804.3420276 dblp:conf/sam/UllauriGPB20 fatcat:q3o4bjtdpfbfxajikjmfpytuiq

TSAR

Peter Desnoyers, Deepak Ganesan, Prashant Shenoy
2005 Proceedings of the 3rd international conference on Embedded networked sensor systems - SenSys '05  
At the sensor tier, TSAR supports energy-aware adaptive summarization that can trade off the cost of transmitting metadata to the proxies against the overhead of false hits resulting from querying a coarse-grain  ...  Archival storage of sensor data is necessary for applications that query, mine, and analyze such data for interesting features and trends.  ...  Newer NAND flash memories offer very low write and erase energy costs -our comparison of a 1GB Samsung NAND flash storage [16] and the Chipcon CC2420 802.15.4 wireless radio [4] in Section 6.2 indicates  ... 
doi:10.1145/1098918.1098923 dblp:conf/sensys/DesnoyersGS05 fatcat:d7r4jc7yrjeadgxtr4swb3jix4

Blockchain Economical Models, Delegated Proof of Economic Value and Delegated Adaptive Byzantine Fault Tolerance and their implementation in Artificial Intelligence BlockCloud

Qi Deng
2019 Journal of Risk and Financial Management  
The Artificial Intelligence BlockCloud (AIBC) is an artificial intelligence and blockchain technology based large-scale decentralized ecosystem that allows system-wide low-cost sharing of computing and  ...  storage resources.  ...  The EVG is derived from the knowledge graph algorithm, which is very relevant in the context of the AIBC.  ... 
doi:10.3390/jrfm12040177 fatcat:23zlngrmsrgptipihg7ziantx4
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