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Scalable and Parallel Reasoning in the Semantic Web [chapter]

Jacopo Urbani
2010 Lecture Notes in Computer Science  
A distributed approach is challenging because of the skew in data distribution and the difficulty in partitioning Semantic Web data.  ...  The current state of the art regarding scalable reasoning consists of programs that run on a single machine.  ...  Therefore, in order to realize the vision of Semantic Web, a scalable and efficient way to reason over an ever-growing amount of data is crucial.  ... 
doi:10.1007/978-3-642-13489-0_49 fatcat:mkhixjupf5ewda45z4amky4cry

The state-of-the-art in web-scale semantic information processing for cloud computing [article]

Wei Yu, Junpeng Chen
2013 arXiv   pre-print
semantic reasoning and parallel semantic computing by exploiting semantic information newly available in cloud computing environment.  ...  Based on integrated infrastructure of resource sharing and computing in distributed environment, cloud computing involves the provision of dynamically scalable and provides virtualized resources as services  ...  Parallel reasoning A vast literature on scalable and parallel reasoning has grown in these areas of research.  ... 
arXiv:1305.4228v1 fatcat:duay2zecwfbqdbwzvy66fyixa4

RDFox: A Highly-Scalable RDF Store [chapter]

Yavor Nenov, Robert Piro, Boris Motik, Ian Horrocks, Zhe Wu, Jay Banerjee
2015 Lecture Notes in Computer Science  
Motivation • Semantic Web applications commonly represent data using the Resource Description Framework (RDF) • Such applications rely on RDF stores to: -efficiently handle large amounts of RDF data handle  ...  data from heterogeneous sources manage and reason with background knowledge answer queries w.r.t. both data and knowledge Motivation  ...  to full SPARQL 1.1 • Adding support for named graphs • Reasoning with aggregation and non-monotonic negation • Distributing storage, querying and reasoning in RDFox • Semantic Web applications commonly  ... 
doi:10.1007/978-3-319-25010-6_1 fatcat:nelhd2w6zbanrcyjnmsj4iqgcy

The Maturing Semantic Web: Lessons in Web-Scale Knowledge Representation [chapter]

Mark Greaves
2009 Lecture Notes in Computer Science  
in US Government Partner with parallel EU efforts to standardize the new web languages People use implicit knowledge to reason with web pages Computers require explicit knowledge to reason with  ...  reasoning systems for the Semantic Web.  ... 
doi:10.1007/978-3-642-03079-6_1 fatcat:bgkvdqaj3ndrtmz56qwqi4mbse

The Quest for Parallel Reasoning on the Semantic Web [chapter]

Peiqiang Li, Yi Zeng, Spyros Kotoulas, Jacopo Urbani, Ning Zhong
2009 Lecture Notes in Computer Science  
This article surveys existing studies, basic ideas and mechanisms for parallel reasoning, and introduces three major parallel applications on the Semantic Web: LarKC, MaRVIN, and Reasoning-Hadoop.  ...  Traditional reasoning tools for the Semantic Web cannot cope with Web scale data. One major direction to improve performance is parallelization.  ...  Acknowledgements This study was supported by the European Union 7th framework project FP7-215535 LarKC (Large Knowledge Collider) and VU University Amsterdam.  ... 
doi:10.1007/978-3-642-04875-3_45 fatcat:t2m72we4yncvhdvplyf52er54q

Towards a Rule Based Distributed OWL Reasoning Framework [chapter]

Raghava Mutharaju, Prabhaker Mateti, Pascal Hitzler
2016 Lecture Notes in Computer Science  
The amount of data exposed in the form of RDF and OWL continues to increase exponentially.  ...  In this work, we propose the idea for a rule-based distributed reasoning framework that can support any given ruleset and highlight some of the challenges that needs to be solved in order to implement  ...  Introduction The W3C recommendations RDF and OWL, are primarily used to represent data in the Semantic Web. Large amount of data in these formats is now available and it only continues to grow.  ... 
doi:10.1007/978-3-319-33245-1_9 fatcat:mc4x7et5arflhl6gnef3ppjf3y

Distributed Reasoning on Semantic Data Streams [chapter]

Rehab Albeladi
2012 Lecture Notes in Computer Science  
In this paper, we present our approach to enable rule-based reasoning on semantic data streams using data flow networks in a distributed manner.  ...  Stream Reasoning is the area that aims to combine reasoning techniques with data streams.  ...  Related Work In the Semantic Web, data is represented in RDF, and queries can be performed using SPARQL.  ... 
doi:10.1007/978-3-642-35173-0_33 fatcat:r5wakypherbrlbyaz65rvnpa4q

Significant Big Data Interpretation using Map Reduce Paradigm

Lavanya Kakkirala, K .Venkateswara
2016 International Journal of Computer Applications  
The system has been assessed on the BTC benchmark and the results show that this method outperforms related ones in nearly all aspects.  ...  Cognitive on a Web scale becomes increasingly stimulating because of the large volume of data involved and the complexity of the task.  ...  By encouraging the inclusion of semantic content in web pages, the Semantic Web aims at converting the current web, dominated by unstructured and semi-structured documents into a "web of data".  ... 
doi:10.5120/ijca2016912339 fatcat:byhvtlhnnzejfnh32z3b5zqarm

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  
This is achieved by (i) enriching the current logic-based Semantic Web reasoning methods, (ii) employing cognitively inspired approaches and techniques, and (iii) building a distributed reasoning platform  ...  In this paper, we present our plan of building the Large Knowledge Collider, a platform for massive distributed incomplete reasoning that will remove these scalability barriers.  ...  The aim of LarKC is to develop a platform for massive distributed incomplete reasoning that will remove the scalability barriers of currently existing reasoning systems for the Semantic Web.  ... 
doi:10.1109/icsc.2008.41 dblp:conf/semco/FenselHABCVFHKLSTWWZ08 fatcat:bxvttqkjebafvborrozljv3uny

Scalable RDFS Reasoning using Logic Programming Approach in a Single Machine
단일머신 환경에서의 논리적 프로그래밍 방식 기반 대용량 RDFS 추론 기법

Batselem Jagvaral, Jemin Kim, Wan-Gon Lee, Young-Tack Park
2014 Journal of KIISE  
As the web of data is increasingly producing large RDFS datasets, it becomes essential in building scalable reasoning engines over large triples.  ...  In this paper, we 단일머신 환경에서의 논리적 프로그래밍 방식 기반 대용량 RDFS 추론 기법 763 propose a scalable RDFS reasoner using logical programming methods in a single machine and compare our empirical results with that of distributed  ...  The most famous Hadoop based Semantic Web tool for ontology reasoner is WebPIE (Web- scale Parallel Inference Engine) [1].  ... 
doi:10.5626/jok.2014.41.10.762 fatcat:yojuqzsiwreelg33kuo2cw3pka

Semantic HMC for Big Data Analysis [article]

Thomas Hassan, Aurlie Bertaux, Nuno Silva
2014 arXiv   pre-print
We also proposea Semantic HMC process, using scalable Machine-Learning techniques and Rule-based reasoning.  ...  In this work we present a new vision to derive Value from Big Data using a Semantic Hierarchical Multi-label Classification called Semantic HMC based in a non-supervised Ontology learning process.  ...  ACKNOWLEDGMENT This project is founded by the company Actualis SARL, the French agency ANRT and through the Portuguese COMPETE Program under the project AAL4ALL (QREN13852).  ... 
arXiv:1412.0854v1 fatcat:4dvddvrtjfhj5jcpagvxuq4in4

Semantic HMC for big data analysis

Thomas Hassan, Rafael Peixoto, Christophe Cruz, Aurlie Bertaux, Nuno Silva
2014 2014 IEEE International Conference on Big Data (Big Data)  
We also proposea Semantic HMC process, using scalable Machine-Learning techniques and Rule-based reasoning.  ...  In this work we present a new vision to derive Value from Big Data using a Semantic Hierarchical Multi-label Classification called Semantic HMC based in a nonsupervised Ontology learning process.  ...  ACKNOWLEDGMENT This project is founded by the company Actualis SARL, the French agency ANRT and through the Portuguese COMPETE Program under the project AAL4ALL (QREN13852).  ... 
doi:10.1109/bigdata.2014.7004482 dblp:conf/bigdataconf/HassanPCBS14 fatcat:3unhht3lz5abnbftvyb4tbbae4

Smart traffic analytics in the semantic web with STAR-CITY: Scenarios, system and lessons learned in Dublin City

Freddy Lécué, Simone Tallevi-Diotallevi, Jer Hayes, Robert Tucker, Veli Bicer, Marco Sbodio, Pierpaolo Tommasi
2014 Journal of Web Semantics  
This paper highlights the lessons learned from deploying and using a system in Dublin City based on Semantic Web technologies.  ...  Our prototype of semantics-aware traffic analytics and reasoning, illustrated and experimented in Dublin Ireland, but also tested in Bologna Italy, Miami USA and Rio Brazil works and scales efficiently  ...  Acknowledgement The research leading to these results has received funding from the European Unions Seventh Framework Programme (FP7/2007-2013) under grant agreement ID 318201 (SIMPLI-CITY).  ... 
doi:10.1016/j.websem.2014.07.002 fatcat:bkpazghj7veajdtcvvpjeg7y5m

The Design and Implementation of Minimal RDFS Backward Reasoning in 4store [chapter]

Manuel Salvadores, Gianluca Correndo, Steve Harris, Nick Gibbins, Nigel Shadbolt
2011 Lecture Notes in Computer Science  
The bind operation runs concurrently in all the data slices allowing the reasoning to be processed in parallel among the cluster.  ...  In order to achieve a highly scalable system we implemented the reasoning at the lowest level of the quad store, the bind operation.  ...  Acknowledgements This work was supported by the EnAKTing project funded by the Engineering and Physical Sciences Research Council under contract EP/G008493/1.  ... 
doi:10.1007/978-3-642-21064-8_10 fatcat:23psq55fcjfltkjymqd25av3oy

Smart Traffic Analytics in the Semantic Web with Star-City: Scenarios, System and Lessons Learned in Dublin City

Freddy LLcuu, Simone Tallevi-Diotallevi, Jer Hayes, Robert Tucker, Veli Bicer, Marco Sbodio, Pierpaolo Tommasi
2014 Social Science Research Network  
This paper highlights the lessons learned from deploying and using a system in Dublin City based on Semantic Web technologies.  ...  Our prototype of semantics-aware traffic analytics and reasoning, illustrated and experimented in Dublin Ireland, but also tested in Bologna Italy, Miami USA and Rio Brazil works and scales efficiently  ...  Acknowledgement The research leading to these results has received funding from the European Unions Seventh Framework Programme (FP7/2007-2013) under grant agreement ID 318201 (SIMPLI-CITY).  ... 
doi:10.2139/ssrn.3199106 fatcat:ylobj6imo5btpjzvdne4hlo75m
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