153,189 Hits in 2.9 sec

Semantics for Big Data

Frank Van Harmelen, James A. Hendler, Pascal Hitzler, Krzysztof Janowicz
2015 The AI Magazine  
the big data quest.  ...  This editorial introduction summarizes the seven guest-edited contributions to AI Magazine that explore opportunities and challenges arising from transferring and adapting semantic web technologies to  ...  Exploiting Semantics for Big Data Integration by Craig A.  ... 
doi:10.1609/aimag.v36i1.2559 fatcat:y6hbpjph5nacvei44i4jhmpkia

Semantic HMC for Big Data Analysis [article]

Thomas Hassan, Aurlie Bertaux, Nuno Silva
2014 arXiv   pre-print
Analyzing Big Data can help corporations to im-prove their efficiency.  ...  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.  ...  SEMANTIC HMC PROCESS Our Semantic HMC process is generic for a large Variety of unstructured data items (e.g. text, images) and scalable for a large Volume of data.  ... 
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)  
Analyzing Big Data can help corporations to improve their efficiency.  ...  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.  ...  SEMANTIC HMC PROCESS Our Semantic HMC process is generic for a large Variety of unstructured data items (e.g. text, images) and scalable for a large Volume of data.  ... 
doi:10.1109/bigdata.2014.7004482 dblp:conf/bigdataconf/HassanPCBS14 fatcat:3unhht3lz5abnbftvyb4tbbae4

Semantic big data for tax assessment

Stefano Bortoli, Paolo Bouquet, Flavio Pompermaier, Andrea Molinari
2016 Proceedings of the International Workshop on Semantic Big Data - SBD '16  
Semantic Big Data is about the creation of new applications exploiting the richness and flexibility of declarative semantics combined with scalable and highly distributed data management systems.  ...  Further, we introduce the concept of Entiton as a flexible and efficient data model suitable for large scale data inference and analytic tasks.  ...  We believe that thanks to this combination of Semantic and Big Data technologies we are now walking the last mile for the creation of real world semantic applications.  ... 
doi:10.1145/2928294.2928297 dblp:conf/sigmod/BortoliBPM16 fatcat:bjxay2f7o5d4ljuedg4wug4hbi

Semantics in the Deep: Semantic Analytics for Big Data

Dimitrios Koutsomitropoulos, Spiridon Likothanassis, Panos Kalnis
2019 Data  
This has been exactly the reasoning behind the Semantic Analytics for Big Data (SEDSEAL) international workshop [1].  ...  As a result, two fundamental questions naturally arise: • How can semantic technologies contribute towards big data analysis?  ... 
doi:10.3390/data4020063 fatcat:ezudf4hfqjguldo3nst5oop5vi

Semantics for Big Data in Emergency Response

Rajendra Akerkar Minsung Hong
2018 Zenodo  
Figure 1 : 1 VISIT architecture Figure 2 : 2 Semantics in VISITVISIT Approach to Big Data 4Vs  ...  Big Data characteristic Challenge VISIT approach Volume Ability to abstract the heterogeneous multimodal data, that is to change the level of abstraction for data processing to gain insights for decision  ... 
doi:10.5281/zenodo.5106055 fatcat:2xfvu4cxqberppabq7ogkvqfle

Towards Semantic Mashup Tools for Big Data Analysis [chapter]

Hendrik, Amin Anjomshoaa, A. Min Tjoa
2014 Lecture Notes in Computer Science  
Since the real-world use of Big Data is for data analytics purposes of knowledge workers in different domains, we can consider mashup approach as an effective tool to create user-generated solution based  ...  Big Data is generally characterized by three V's: volume, velocity, and variety.  ...  This research has received support from Ernst-Mach-Stipendien granted by the OeAD -Austrian Agency for International Cooperation in Education & Research, financed by BMWF.  ... 
doi:10.1007/978-3-642-55032-4_13 fatcat:yumfkxidozaffi7zp7g3fq3wby

Semantic Data Ingestion for Intelligent, Value-Driven Big Data Analytics

Jeremy Debattista, Judie Attard, Rob Brennan
2018 2018 4th International Conference on Big Data Innovations and Applications (Innovate-Data)  
In this position paper we describe a conceptual model for intelligent Big Data analytics based on both semantic and machine learning AI techniques (called AI ensembles).  ...  These processes are linked to business outcomes by explicitly modelling data value and using semantic technologies as the underlying mode for communication between the diverse processes and organisations  ...  ACKNOWLEDGEMENT We would like to thank Giovanni Schiuma, Markus Helfurt, Pieter De Leenheer, Eamonn Clinton, Diego Calvanese, Christian Dirschl, Ismael Caballero, Hans Viehmann, and Rico Richter for their  ... 
doi:10.1109/innovate-data.2018.00008 dblp:conf/obd/DebattistaAB18 fatcat:3hiyg2rd4fh2hdx37jelozkz5e

On the Semantics of Big Earth Observation Data for Land Classification

Gilberto Camara
2020 Zenodo  
The paper concludes by showing how event semantics can improve data-driven methods to fulfil the potential of big data.  ...  This paper discusses the challenges of using big Earth observation data for land classification.  ...  Acknowledgments The author would like to thank his peers at Brazil's National Institute for Space Research (INPE) for many useful discussions, including Isabel Escada, Karine Ferreira.  ... 
doi:10.5281/zenodo.3830792 fatcat:hrn47eh6lbd2pebgkd3vlhivvm

Using Ontologies for Semantic Data Integration [chapter]

Giuseppe De Giacomo, Domenico Lembo, Maurizio Lenzerini, Antonella Poggi, Riccardo Rosati
2017 Studies in Big Data  
Here, we focus on a specific paradigm for semantic data integration, called Ontology-Based Data Access (OBDA).  ...  and data integration phase of a big data project.  ...  However, after years of focus on technologies for big data storing and processing, many observers are pointing out that making sense of big data cannot be done without suitable tools for conceptualizing  ... 
doi:10.1007/978-3-319-61893-7_11 fatcat:l6ldfj7pifadtioszweo5aenwy

Semantic Technologies and Big Data Analytics for Cyber Defence

Louise Leenen, Thomas Meyer
2016 International Journal of Cyber Warfare and Terrorism  
An overview of the use of semantic technologies and big data technologies in cyber defence is provided, and important areas for future research in the combined domains are discussed.  ...  Big data technologies supported by semantic technologies can improve cybersecurity, and thus cyber defence by providing support for the processing and understanding of the huge amounts of information in  ...  web" (9 million) and "big data & semantic web" (0.3 million).  ... 
doi:10.4018/ijcwt.2016070105 fatcat:h5pa46gt3zcxrgcdq77qrklk74

Knowledge cubes — A proposal for scalable and semantically-guided management of Big Data

Amgad Madkour, Walid G. Aref, Saleh Basalamah
2013 2013 IEEE International Conference on Big Data  
Knowledge cubes support the five pillars of Big Data also known as the five V's, namely Volume, Velocity, Veracity, Variety, and Value.  ...  In this paper, knowledge cubes are proposed as a semantically-guided data management architecture, where data management is influenced by the data semantics rather than by a predefined scheme.  ...  Discovery of Data Sources Each knowledge cube can have its own discovery mechanism for the list of Big Data sources relevant to its semantic aspects.  ... 
doi:10.1109/bigdata.2013.6691800 dblp:conf/bigdataconf/MadkourAB13 fatcat:hciebcwhcbgxfdqrmnylvjll5a

Utilizing semantic big data for realizing a national-scale infrastructure vulnerability analysis system

Sangkeun Lee, Supriya Chinthavali, Sisi Duan, Mallikarjun Shankar
2016 Proceedings of the International Workshop on Semantic Big Data - SBD '16  
We present a vision of national-scale Infrastructure Vulnerability Analysis System (IVAS) leveraging Semantic Big Data (SBD) tools, Big Data, and Geographical Information Systems (GIS) tools.  ...  Semantic Big Data (SBD) SBD Standards.  ...  promising capabilities and use cases of Semantic Web technologies for big data research and applications.  ... 
doi:10.1145/2928294.2928295 dblp:conf/sigmod/LeeCDS16 fatcat:biolcgbtojcfja72ryoiqcj5ku

Comprehensive Semantic Segmentation on High Resolution UAV Imagery for Natural Disaster Damage Assessment

Tashnim Chowdhury, Maryam Rahnemoonfar, Robin Murphy, Odair Fernandes
2020 2020 IEEE International Conference on Big Data (Big Data)  
The dataset consists of around 2000 high-resolution aerial images, with annotated ground-truth data for semantic segmentation.  ...  In this paper, we present a large-scale hurricane Michael dataset for visual perception in disaster scenarios, and analyze state-of-the-art deep neural network models for semantic segmentation.  ...  for data processing and filtering.  ... 
doi:10.1109/bigdata50022.2020.9377916 fatcat:6dq5kmzz6bhgdmu4gbhriz5bju

Foreword to the Special Issue: "Semantics for Big Data Integration"

Domenico Beneventano, Maurizio Vincini
2019 Information  
This Special Issue aims at discussing emerging approaches from academic and industrial stakeholders for disseminating innovative solutions that explore how big data can leverage semantics, for example,  ...  by examining the challenges and opportunities arising from adapting and transferring semantic technologies to the big data context.  ...  This Special Issue addresses the research about big data management with semantic technologies as a unified data access layer and a consistent approach to analytic execution.  ... 
doi:10.3390/info10020068 fatcat:whjdf63ypzb7joy62mrb2ft7xa
« Previous Showing results 1 — 15 out of 153,189 results