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Marvin : Distributed reasoning over large-scale Semantic Web data

Eyal Oren, Spyros Kotoulas, George Anadiotis, Ronny Siebes, Annette ten Teije, Frank van Harmelen
2009 Journal of Web Semantics  
We present Marvin, a parallel and distributed platform for processing large amounts of RDF data, on a network of loosely-coupled peers.  ...  Many Semantic Web problems are difficult to solve through common divide-and-conquer strategies, since they are hard to partition.  ...  and Semantic Web data [14] .  ... 
doi:10.1016/j.websem.2009.09.002 fatcat:fzfxrb7o5zeq3kpwcvlg6n4bg4

MARVIN: Distributed Reasoning Over Large-Scale Semantic Web Data

Eyal Oren, Spyros Kotoulas, George Anadiotis, Ronny Siebes, Annette ten Teije, Frank van Harmelen
2009 Social Science Research Network  
We present Marvin, a parallel and distributed platform for processing large amounts of RDF data, on a network of loosely-coupled peers.  ...  Many Semantic Web problems are difficult to solve through common divide-and-conquer strategies, since they are hard to partition.  ...  and Semantic Web data [14] .  ... 
doi:10.2139/ssrn.3199458 fatcat:k7xbuzsy5veoxapxv6dpglsolm

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  
Traditional reasoning tools for the Semantic Web cannot cope with Web scale data. One major direction to improve performance is parallelization.  ...  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.  ...  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

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.  ...  When the amount of data is too large, or the logic is too complex, the computational resources of a single machine are not enough.  ...  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

Semantic Boosting: Enhancing Deep Learning Based LULC Classification

Marvin Mc Mc Cutchan, Alexis J. Comber, Ioannis Giannopoulos, Manuela Canestrini
2021 Remote Sensing  
This paper introduces a methodology which enables the inclusion of geographical object semantics (from vector data) into the LULC classification procedure.  ...  In each experiment CORINE LULC data was used as a ground truth and predicted using imagery from Sentinel-2 and semantics from LinkedGeoData using deep learning.  ...  This includes decisions over imagery (type, scale), how features are represented, choice of training data, and classification algorithm.  ... 
doi:10.3390/rs13163197 fatcat:5fzf623lq5arnkqzplap6xrzhi

Taverna: lessons in creating a workflow environment for the life sciences

Tom Oinn, Mark Greenwood, Matthew Addis, M. Nedim Alpdemir, Justin Ferris, Kevin Glover, Carole Goble, Antoon Goderis, Duncan Hull, Darren Marvin, Peter Li, Phillip Lord (+5 others)
2006 Concurrency and Computation  
The lessons reflect an evolving understanding of life scientists' requirements on a workflow environment, which is relevant to other areas of data intensive and exploratory science.  ...  The in silico experiments undertaken by these research groups can be represented as workflows involving the co-ordinated use of analysis programs and information repositories that may be globally distributed  ...  and many distributed bioinformatics groups that maintain smaller scale databases or analysis tools.  ... 
doi:10.1002/cpe.993 fatcat:bunhwja6gzbjveelvuyt7tbp6i

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

Wei Yu, Junpeng Chen
2013 arXiv   pre-print
These applications also bring a large scale heterogeneous and distributed information which pose a great challenge in terms of the semantic ambiguity.  ...  over the Internet.  ...  As a part of larkc, Marvin [62] is a parallel and distributed platform for processing large amounts of RDF data.  ... 
arXiv:1305.4228v1 fatcat:duay2zecwfbqdbwzvy66fyixa4

GALVANIZING STRATEGIC AND INDEPENDENT LEARNING WITH LEARNING TECHNOLOGIES

Marcos A. Sanchez, Marvin W. Lidawan
2020 Zenodo  
Likert Scale was further manipulated for the gathered data's interpretations obtained from survey questionnaire, review of available documents, focus group discussion as well as interviews.  ...  The following Likert Scale was used in interpreting the gathered data.  ...  • include databases and semantic networking.  ... 
doi:10.5281/zenodo.3826112 fatcat:gt5icmm6m5ddvmufvqzee6lpji

Multi-channel discourse as an indicator for Bitcoin price and volume movements [article]

Marvin Aron Kennis
2018 arXiv   pre-print
Furthermore, Bitcoin discussion largely takes place on online forums and chat channels.  ...  To achieve this, data over the year 2015 has been collected from Bitcointalk.org, (the biggest Bitcoin forum in post volume), established news sources such as Bloomberg and the Wall Street Journal, the  ...  The rapid rise of high-frequency trading (HFT) firms over the past decade (trading in nanosecond time frames), precipitated by the introduction of large-scale algorithmic trading on stock exchanges attest  ... 
arXiv:1811.03146v1 fatcat:y2bn7ohccrhf5ppfnvyo6ssiim

Scaling Out Sound and Complete Reasoning for Conjunctive Queries on OWL Knowledge Bases

Sambhawa Priya
2015 International Semantic Web Conference  
Current large-scale semantic web systems scale to billions of triples but many such systems perform no reasoning or rely on materialization.  ...  One of the challenges the Semantic Web community is facing today is the issue of scalable reasoning that can generate responsive results to complicated queries over large-scale OWL knowledge bases.  ...  Time taken to perform expressive reasoning over semantic web datasets can be vulnerable to the order in which the query clauses are evaluated.  ... 
dblp:conf/semweb/Priya15 fatcat:4shbvnicfrhizbd4jijqb3dpa4

Large-Scale Storage and Reasoning for Semantic Data Using Swarms

Hannes Muhleisen, Kathrin Dentler
2012 IEEE Computational Intelligence Magazine  
We strive to answer our research question of whether swarm-based approaches are useful in creating a large-scale distributed storage and reasoning system for semantic data.  ...  The problem addressed by this paper is the design of a method for fully distributed storage and reasoning for Semantic Web data.  ... 
doi:10.1109/mci.2012.2188586 fatcat:njmwcdm7f5aj7kxjitu32mw2mi

Global Semantic Graph as an Alternative Information and Collaboration Infrastructure [chapter]

Yan Shvartzshnaider
2010 Lecture Notes in Computer Science  
The GSG adopts approaches and methods from the Semantic Web and thus facilitates a better information sharing abstraction.  ...  It would provide a single abstraction for storing, processing and communicating information based on globally interlinked semantic resources.  ...  The GSG architecture provides support to "anytime" distributed reasoning, similarly to the MARVIN [5] platform.  ... 
doi:10.1007/978-3-642-13489-0_48 fatcat:72hsehsmkjaobcoklgaznbcjhe

The St. Thomas Common Sense Symposium: Designing Architectures for Human-Level Intelligence

Marvin Minsky, Push Singh, Aaron Sloman
2004 The AI Magazine  
Large-Scale Architectures for Human-level Intelligence In the afternoon, we discussed large-scale architectures for machines with human-level intelligence and common sense.  ...  Erik Mueller suggested that such an organization could be modeled after the World Wide Web Consortium (W3C), and its job would largely be to assess, standardize and publish the protocols and underlying  ...  He started the Open Mind Common Sense project at MIT, an effort to build large-scale commonsense knowledge bases by turning to the general public, and has worked on incorporating commonsense reasoning  ... 
doi:10.1609/aimag.v25i2.1764 dblp:journals/aim/MinskySS04 fatcat:nk6nwrvkbfhsxpsx6i2bpft4tq

Performance Evaluation of the Semantic Web Reasoners

2019 International journal of recent technology and engineering  
The objective of this paper is to list and classify the reasoners according to OWL 2 profiles thereafter the focus of this study is to develop a model which evaluate the performance of Semantic Web Reasoner  ...  The major benefit of working on Ontology Web Language (OWL) is its ability to define semantics such that the information becomes more valuable.  ...  and Zhou, Z/2018 A survey of large-scale reasoning on the Web of data.  ... 
doi:10.35940/ijrte.d7127.118419 fatcat:fnr4z4xjijhr5gupf6tmzdpwti

A survey of large-scale reasoning on the Web of data

Grigoris Antoniou, Sotiris Batsakis, Raghava Mutharaju, Jeff Z. Pan, Guilin Qi, Ilias Tachmazidis, Jacopo Urbani, Zhangquan Zhou
2018 Knowledge engineering review (Print)  
However, reasoning approaches need to be scalable in order to enable reasoning over the entire Web of Data.  ...  This is particularly true for the so-called Web of Data, in which data is semantically enriched and interlinked using ontologies.  ...  Raghava Mutharaju when he was a PhD student at Wright State University during which time he acknowledges the support of the National Science Foundation under award 1017225 "III: Small: TROn -Tractable Reasoning  ... 
doi:10.1017/s0269888918000255 fatcat:bergc5uphbceznigppektgvzrm
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