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SM4MQ: A Semantic Model for Multidimensional Queries [chapter]

Jovan Varga, Ekaterina Dobrokhotova, Oscar Romero, Torben Bach Pedersen, Christian Thomsen
2017 Lecture Notes in Computer Science  
On-Line Analytical Processing (OLAP) is a data analysis approach to support decision-making.  ...  On top of that, Exploratory OLAP is a novel initiative for the convergence of OLAP and the Semantic Web (SW) that enables the use of OLAP techniques on SW data.  ...  Next, we explain the method (sub)tasks and exemplify each task on our use case. Task 1. Choosing the analytical structure is the initial task where the target data structure needs to be chosen.  ... 
doi:10.1007/978-3-319-58068-5_28 fatcat:qz5j4vwh7je3feqoi3ehqhzi7y

Formal Linked Data Visualization Model

Josep Maria Brunetti, Sören Auer, Roberto García, Jakub Klímek, Martin Nečaský
2013 Proceedings of International Conference on Information Integration and Web-based Applications & Services - IIWAS '13  
The potential of this vast amount of data is enormous but in most cases it is very difficult for users to explore and use this data, especially for those without experience with Semantic Web technologies  ...  This work was partially supported by a grant from the European Union's 7th Framework Programme provided for the project LOD2 (GA no. 257943). 5  ...  We also focus on extending the library of data analyzers and visualizations.  ... 
doi:10.1145/2539150.2539162 dblp:conf/iiwas/BrunettiAGKN13 fatcat:po4nhs22qrblfpiuwki5kfkda4

Recursive SPARQL for Graph Analytics [article]

Aidan Hogan and Juan Reutter and Adrian Soto
2020 arXiv   pre-print
We do this by proposing a minimalistic extension of SPARQL to allow for expressing analytical tasks; in particular, we propose to extend SPARQL with recursive features, and provide a formal syntax and  ...  However, many real-world tasks conceptually involve combinations of these approaches: a graph query can be used to select the appropriate data, which is then enriched with analytics, and then possibly  ...  , allowing to pass, extend and refine data throughout the procedure.  ... 
arXiv:2004.01816v1 fatcat:mkih5k527jhq7ldwsoq2t7xzza

A Framework Uniting Ontology-Based Geodata Integration and Geovisual Analytics

Linfang Ding, Guohui Xiao, Diego Calvanese, Liqiu Meng
2020 ISPRS International Journal of Geo-Information  
In this framework, ontologies play a central role by providing a coherent view over the heterogeneous data, and by acting as a mediator for visual analysis tasks.  ...  ontology; (2) a geovisual analytics (GeoVA) module, designed for the exploration of the integrated data, by explicitly making use of standard ontologies.  ...  SQL translation of the SPARQL query for Task 1. Table 1 . 1 Datasets used in this study.  ... 
doi:10.3390/ijgi9080474 fatcat:l64aa3n3cnde3insjmvsejetta

Mapping Representation based on Meta-data and SPIN for Localization Workflows

Alan Meehan, Rob Brennan, Dave Lewis, Declan O'Sullivan
2014 Extended Semantic Web Conference  
Our use case is a Language Technology retraining workflow where publishing mappings leads to new opportunities for interoperability and end-to-end tool-chain analytics.  ...  To represent the mappings, we use a combination of SPARQL Inferencing Notation (SPIN) and meta-data. Our approach allows the mapping representation to be published as Linked Data.  ...  This research is supported by the Science Foundation Ireland (Grant 12/CE/I2267) as part of CNGL Centre for Global Intelligent Content (www.cngl.ie) at Trinity College Dublin.  ... 
dblp:conf/esws/MeehanBLO14 fatcat:m4bblve6evbn5nydqhoo2ywjdm

Efficient Parallel Processing of Analytical Queries on Linked Data [chapter]

Stefan Hagedorn, Kai-Uwe Sattler
2013 Lecture Notes in Computer Science  
For example, users are interested in analytical tasks such as profiling or finding correlated entities in their datasets.  ...  RDF and SPARQL have been established as de-facto standards for representing and querying linked data and there exists quite a number of RDF stores and SPARQL engines that can be used to work with the data  ...  In summary, there is a need for explicitly supporting analytical tasks on linked data in larger scale while providing the flexibility and expressiveness of a SPARQL engine.  ... 
doi:10.1007/978-3-642-41030-7_33 fatcat:6xelv336lbgnfjmq7a4ltt3bnq

Sinus – A Semantic Technology Enhanced Environment For Learning In Humanities

Gennady Agre
2012 Cybernetics and Information Technologies  
types of knowledge and the middleware layer is implemented as an extended search engine carrying out all necessary communications between the tools and the repositories.  ...  The paper describes a semantic technology based environment intended for developing technology enhanced learning applications in humanitarian problem domains.  ...  Acknowledgments: The work on this article was partially funded by the Bulgarian National Science Fund project D-002-189 SINUS "Semantic Technologies for Web Services and Technology Enhanced Learning".  ... 
doi:10.2478/cait-2012-0027 fatcat:3novoevlsnbs7nj62nhqoor2ry

Deductive and Inductive Stream Reasoning for Semantic Social Media Analytics

Davide Barbieri, Daniele Braga, Stefano Ceri, Emanuele Della Valle, Yi Huang, Volker Tresp, Achim Rettinger, Hendrik Wermser
2010 IEEE Intelligent Systems  
In particular, the notion of RDF streams is the "glue" for the interoperability of inductive and deductive reasoning techniques with methods and systems for processing data streams.  ...  When knowledge evolution is conveyed in the form of data streams, a combined approach of deductive and inductive reasoning can leverage the clear separation between the evolving (streaming) and the static  ...  In [ILP2010] , the approach was extended for on line inductive reasoning.  ... 
doi:10.1109/mis.2010.142 fatcat:iu7b24hrzvgvjctmpdetlljudq

Deductive and Inductive Stream Reasoning for Semantic Social Media Analytics

Davide Barbieri, Daniele Braga, Stefano Ceri, Emanuele Della Valle, Yi Huang, Volker Tresp, Achim Rettinger, Hendrik Wermser
2011 IEEE Intelligent Systems  
In particular, the notion of RDF streams is the "glue" for the interoperability of inductive and deductive reasoning techniques with methods and systems for processing data streams.  ...  When knowledge evolution is conveyed in the form of data streams, a combined approach of deductive and inductive reasoning can leverage the clear separation between the evolving (streaming) and the static  ...  In [ILP2010] , the approach was extended for on line inductive reasoning.  ... 
doi:10.1109/mis.2010.111 fatcat:p45p4stvlrf2hp75ffsmtuqima

Using superimposed multidimensional schemas and OLAP patterns for RDF data analysis

Median Hilal, Christoph G. Schuetz, Michael Schrefl
2018 Open Computer Science  
The foundations for traditional data analysis are Online Analytical Processing (OLAP) systems that operate on multidimensional (MD) data.  ...  Hence, conducting RDF data analysis is not a straightforward task.  ...  Mappings In the following we adapt and extend de nitions introduced by Colazzo et al. [3] for mapping analytical schemas to source data.  ... 
doi:10.1515/comp-2018-0003 fatcat:fimngrnvpzdkxdsefuv2k7skxy

Semantic access to streaming and static data at Siemens

Evgeny Kharlamov, Theofilos Mailis, Gulnar Mehdi, Christian Neuenstadt, Özgür Özçep, Mikhail Roshchin, Nina Solomakhina, Ahmet Soylu, Christoforos Svingos, Sebastian Brandt, Martin Giese, Yannis Ioannidis (+4 others)
2017 Journal of Web Semantics  
of both streaming and static data, a highly optimised backend, ExaStream, for processing such data, and a query formulation interface, OptiqueVQS, that allows to formulate STARQL queries without prior  ...  We present a description and analysis of the data access challenge in Siemens Energy.  ...  Typically, analytical tasks are executed individually for each ticket.  ... 
doi:10.1016/j.websem.2017.02.001 fatcat:vbyec4wq3rc5nntgpp35bc4fwa

Towards an RDF Analytics Language: Learning from Successful Experiences

Fadi Maali, Stefan Decker
2013 International Semantic Web Conference  
SPARQL, the W3C standard querying language for RDF, provides rich capabilities for slicing and dicing RDF data.  ...  In particular, design decisions related to the data model, schema restrictions, data transformation and the programming paradigm are examined and a number of related challenges for defining an RDF analytics  ...  The ideas in this paper benefited from valuable discussions with Aidan Hogan and Marcel Karnstedt and from the material of the "Introduction to Data Science" course on Coursera by Bill Howe.  ... 
dblp:conf/semweb/MaaliD13 fatcat:ept4br3gorejxd3hulwg26evz4

Self-adaptive Based Model for Ambiguity Resolution of The Linked Data Query for Big Data Analytics

Nurfadhlina Mohd Sharef, Intelligent Computing Research Group Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, MALAYSIA, Yasser M. Shafazand, Mohd Zakree Ahmad Nazri, Nor Azura Husin, Intelligent Computing Research Group Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, MALAYSIA, Intelligent Computing Research Group Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, MALAYSIA, Intelligent Computing Research Group Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, MALAYSIA
2018 International Journal of Integrated Engineering  
However, there are limited researches on effective big data integration to address the ambiguity issue for big data analytics.  ...  Integration of heterogeneous data sources is a crucial step in big data analytics, although it creates ambiguity issues during mapping between the sources due to the variation in the query terms, data  ...  Big Data Analytics The emergence of Big Data has become a new source of opportunity for Semantic Computing researches.  ... 
doi:10.30880/ijie.2018.10.06.025 fatcat:7myxug5xl5c5vfshfkqo7xahkq

An OLAP Endpoint for RDF Data Analysis Using Analysis Graphs

Median Hilal, Christoph G. Schütz, Michael Schrefl
2017 International Semantic Web Conference  
Exploiting Resource Description Framework (RDF) data for Online Analytical Processing (OLAP), especially Linked Open Data (LOD), could allow analysts to obtain interesting insights.  ...  To conduct OLAP analysis over RDF data, analysts should know the specific semantics, structure, and querying mechanisms of such data.  ...  / 3 http://factforge.net/sparql We extend Analysis Graphs, proposed for relational data warehousing [4] , to become Semantic Web Analysis Graphs (SWAG) that model the analytical process on the schema  ... 
dblp:conf/semweb/HilalSS17 fatcat:qm5dvm52ovaazkauerlbmxypfi

A Lightweight RDF Data Model for Business Process Analysis [chapter]

Marcello Leida, Basim Majeed, Maurizio Colombo, Andrej Chu
2013 Lecture Notes in Business Information Processing  
This model is a novel approach to real-time process data representation and paves the road to a complete new breed of applications for business process analysis.  ...  The main benefit of this representation is that it is transparent to the data creation and analysis processes; furthermore it can be extended progressively when new information is available.  ...  of the graph, available for any analytical application, without need for reconfiguration or any other data preparation steps as we will see in Section 5.  ... 
doi:10.1007/978-3-642-40919-6_1 fatcat:vivipcmet5aefco755darzkzr4
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