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Towards a New Scalable Big Data System Semantic Web Applied on Mobile Learning

Mouad Banane, Abdessamad Belangour
2020 International Journal of Interactive Mobile Technologies  
The architecture we propose is composed of two main parts: a knowledge server and an adaptation model.  ...  Then, in a mobility environment, the knowledge server makes it possible to take into account the constraints of the environment and the user constraints thanks to the RDF exchange format.  ...  It allows the construction of complex knowledge models that can be used to model both the users of the system, their context and the field of application in an intelligible way.  ... 
doi:10.3991/ijim.v14i01.10922 fatcat:iz3fpis7xfd7tfpk2ovwtaqeiu

Significant Big Data Interpretation using Map Reduce Paradigm

Lavanya Kakkirala, K .Venkateswara
2016 International Journal of Computer Applications  
It did not implement load/upload functionality in conjunction with an RDF repository.  ...  Semantic information has been reduced by using Hadoop framework with simple machine learning algorithm. Each level of mapping and reducing is based on k-means clustering technique.  ...  Type Inference on Noisy RDF Data An RDF knowledge base consists of an A-box, i.e., the definition of instances and the relations that hold between them, and a T-box, i.e., a schema or ontology.  ... 
doi:10.5120/ijca2016912339 fatcat:byhvtlhnnzejfnh32z3b5zqarm

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)  
AbstractAs more and more data is being generated by sensor networks, social media and organizations, the Web interlinking this wealth of information becomes more complex.  ...  These systems differ significantly; for instance in terms of reasoning expressivity, computational properties such as completeness, or reasoning objectives.  ...  Acknowledgments This work was supported by the EC-funded SemData Marie Curie project under FP7.  ... 
doi:10.1017/s0269888918000255 fatcat:bergc5uphbceznigppektgvzrm

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  
This paper describes the design and implementation of Minimal RDFS semantics based on a backward chaining approach and implemented on a clustered RDF triple store.  ...  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

BigDataGrapes D4.2 - Methods and Tools for Distributed Inference

Milena Yankova, Boyan SImeonov, Atanas Kiryakov, Vladimir Alexiev
2019 Zenodo  
We address the main principles applied to data inference and different types of inference – rule-based, query-based, model-based and fuzzy inference – and their application in BigDataGrapes project.  ...  There are many challenges in data reasoning and inference based on distributed data. The first one is addressing data security and access rights to both original data and inferred information.  ...  an array cwork:tags which combines cwork:about and cwork:mentions).  ... 
doi:10.5281/zenodo.2629568 fatcat:amfv6a5euncnndfhsbgubr4i6q

BigDataGrapes D4.2 - Methods and Tools for Distributed Inference

Milena Yankova, Boyan SImeonov, Atanas Kiryakov, Vladimir Alexiev
2020 Zenodo  
We address the main principles applied to data inference and different types of inference – rulebased, query-based, model-based and fuzzy inference – and their application in BigDataGrapes project.  ...  There are many challenges in data reasoning and inference based on distributed data. The first one is addressing data security and access rights to both original data and inferred information.  ...  , in the knowledge base, RDF statements.  ... 
doi:10.5281/zenodo.4546071 fatcat:qwkhk7crvzgwvfz3dxzaqmy46m

Improving the real-time performance of heterogeneous extremely large datasets

Stasinos Konstantopoulos, Antonis Koukourikos, Pythagoras Karampiperis
2013 Proceedings of the 17th Panhellenic Conference on Informatics - PCI '13  
In this paper, we present the POWDER protocol, briefly discuss current implementations and use cases and present how POWDER can be implemented over existing well-tested and robust semantic storage systems  ...  Furthermore, we discuss a novel solution for the scalable storing data summaries in the form of metadata for the purposes of source selection and source schema coordination in large-scale, heterogeneous  ...  POWDER-BASE documents are transformed to the equivalent OWL/RDF knowledge bases, following the POWDER-S specification.  ... 
doi:10.1145/2491845.2491877 dblp:conf/pci/KonstantopoulosKK13 fatcat:dlvr2msfzbdffcldx4rus2ysqa

Chapter 7 Scalable Knowledge Graph Processing Using SANSA [chapter]

Hajira Jabeen, Damien Graux, Gezim Sejdiu
2020 Lecture Notes in Computer Science  
, knowledge base completion, querying, and reasoning.  ...  The size and number of knowledge graphs have increased tremendously in recent years.  ...  Rodríguez and Egenhofer Similarity. Another example of feature-based measure implemented in SANSA is by Rodríguez and Egenhofer [181] .  ... 
doi:10.1007/978-3-030-53199-7_7 fatcat:zx4suhofwngsxbigtars4y4s3u

The KBMS Project and Beyond [chapter]

Vinay K. Chaudhri, Igor Jurisica, Manolis Koubarakis, Dimitris Plexousakis, Thodoros Topaloglou
2009 Lecture Notes in Computer Science  
Assertional Knowledge: Telos provides an assertion language for the expression of deductive rules and integrity constraints. The assertion language is a first-order language with equality.  ...  The Knowledge Base Management Systems (KBMS) Project at the University of Toronto (1985)(1986)(1987)(1988)(1989)(1990)(1991)(1992)(1993)(1994)(1995) was inspired by a need for advanced knowledge representation  ...  The fourth implementation, called Common Knowledge Base (CKB), was done by Bryan Kramer and Martin Stanley at the University of Toronto in the context of the APACS project.  ... 
doi:10.1007/978-3-642-02463-4_24 fatcat:6wrere4quvgcdafnpoh5c7broy

Semantic Reasoning for Context-Aware Internet of Things Applications

Altti Ilari Maarala, Xiang Su, Jukka Riekki
2017 IEEE Internet of Things Journal  
However, resource-constraints, dynamics, mobility, scalability, and real-time requirements introduce challenges for applying these methods in IoT environments.  ...  We study how to utilize semantic IoT data for reasoning of actionable knowledge by applying state-of-the-art semantic technologies.  ...  N3 6 is another expressive format of RDF, which can also express rules with N3 Logic 7 and RDF properties. All of those are based on the triple structure, but differ in expressive power.  ... 
doi:10.1109/jiot.2016.2587060 fatcat:jpzi7awcpza2te62b7eeiao36y

BigDataGrapes D4.2 - Methods and Tools for Distributed Inference

Milena Yankova, Boyan SImeonov, Atanas Kiryakov, Vladimir Alexiev
2018 Zenodo  
We address the main principles applied to data inference and different types of inference – rule-based, query-based, model-based and fuzzy inference – and their application in BigDataGrapes project.  ...  There are many challenges in data reasoning and inference based on distributed data. The first one is addressing data security and access rights to both original data and inferred information.  ...  , in the knowledge base, RDF statements.  ... 
doi:10.5281/zenodo.1481809 fatcat:7jkignzjnfdmxomknr5vjrwhhm

A survey of RDF storage approaches

David C. Faye, Olivier Curé, Guillaume Blin
2012 ARIMA  
There is a real need to efficiently store and retrieve RDF data as the number and scale of Semantic Web in real-word applications in use increase.  ...  As datasets grow larger and more datasets are linked together, scalability becomes more important.  ...  Last, any kind of knowledge can be expressed in RDF, authorizing extraction and reuse of knowledge by various applications.  ... 
doi:10.46298/arima.1956 fatcat:j2zjgg4dvzhmjm7qoimwzknjc4

Towards a Managed Extensible Control Plane for Knowledge-Based Networking [chapter]

David Lewis, John Keeney, Declan O'Sullivan, Song Guo
2006 Lecture Notes in Computer Science  
This is based on the novel application of control plane separation and semantic-based matching to Content-Based Networks.  ...  Here we evaluate the performance issues involved in attempting to perform ontology-based reasoning for content-based routing.  ...  Acknowledgements This research was partly supported by Science Foundation Ireland under grant no. 03/CE3/I405, and by the Irish Higher Education Authority under the M-Zones programme.  ... 
doi:10.1007/11907466_9 fatcat:6fvakoto5ndp3bfpxgirrkukfq

A Case Study on the Use of Semantic Web Technologies for Learner Guidance

Andrea Zielinski, Jürgen Bock
2015 Proceedings of the 24th International Conference on World Wide Web - WWW '15 Companion  
We investigate to what extend Semantic Web Languages like RDF/S and OWL are expressive enough to handle different aspects of learning pathways.  ...  Using a real-world case study from the eLearning domain, we compare an OWL 2 DL implementation with an equivalent graph algorithm implementation with respect to time efficiency.  ...  However, while the document structure and HTML can provide such an access based on a model of hierarchy and sequence, this is not directly implemented in RDF [8] .  ... 
doi:10.1145/2740908.2743047 dblp:conf/www/ZielinskiB15 fatcat:hda62aprtjeftd2j4p7yjtc5zm

DLEJena: A practical forward-chaining OWL 2 RL reasoner combining Jena and Pellet

Georgios Meditskos, Nick Bassiliades
2010 Journal of Web Semantics  
The experimental evaluation shows that DLEJena achieves more scalable ABox reasoning than the direct implementation of the OWL 2 RL/RDF rule set in the Jena's production rule engine, which is the main  ...  The TBox semantics are treated by Pellet, reusing in that way efficient and sophisticated TBox DL reasoning algorithms.  ...  Furthermore, the extensional knowledge usually involves large number of individual assertions and therefore, there is a need for scalable implementations.  ... 
doi:10.1016/j.websem.2009.11.001 fatcat:5oa3wqtoh5hdpayugkcswkcy5m
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