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Semantic Access to Siemens Streaming Data: the Optique Way

Evgeny Kharlamov, Sebastian Brandt, Martin Giese, Ernesto Jiménez-Ruiz, Steffen Lamparter, Christian Neuenstadt, Özgür Lütfü Özçep, Christoph Pinkel, Ahmet Soylu, Dmitriy Zheleznyakov, Mikhail Roshchin, Stuart Watson (+1 others)
2015 International Semantic Web Conference  
The diagnostic dash- Demonstration Scenario We will demonstrate semantic access to Siemens relational streams with OPTIQUE using anonymised version of streams gathered from 200 Siemens gas and steam  ...  One reason is the conceptual mismatch between the way the engineers expect the data to look like, i.e., the language and structures they use to describe the data, and the way the data is actually described  ... 
dblp:conf/semweb/KharlamovBGJLNO15 fatcat:sjs2gxqmpfgshdqdalzceaih3a

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  
We advocate Ontology Based Data Access (OBDA) as a suitable Semantic Web driven technology to address the challenge.  ...  We present a description and analysis of the data access challenge in Siemens Energy.  ...  Acknowledgements This work was partially funded by the EU project Optique (FP7-ICT-318338), and the EPSRC projects MaSI 3 (EP/K00607X/1), DBOnto (EP/L012138/1), ED 3 (EP/N014359/1).  ... 
doi:10.1016/j.websem.2017.02.001 fatcat:vbyec4wq3rc5nntgpp35bc4fwa

Scalable Semantic Access to Siemens Static and Streaming Distributed Data

Evgeny Kharlamov, Sebastian Brandt, Martin Giese, Ernesto Jiménez-Ruiz, Yannis Kotidis, Steffen Lamparter, Theofilos Mailis, Christian Neuenstadt, Özgür Lütfü Özçep, Christoph Pinkel, Ahmet Soylu, Christoforos Svingos (+5 others)
2016 International Semantic Web Conference  
We introduced the notion Ontology-Based Stream-Static Data Integration and developed the system Optique to put our ideas in practice.  ...  In the context of the Optique project we have investigated how Semantic Technologies can enhance data integration and thus facilitate further data analysis.  ...  In order to streamline the diagnostic process at Siemens, we propose a data integration approach based on Semantic Technologies that extends a well-known Ontology Based Data Access and that we call Ontology-Based  ... 
dblp:conf/semweb/KharlamovBGJKLM16 fatcat:gge4yctvsjh23nqrwa7oex3p3m

Ontology-Based Integration of Streaming and Static Relational Data with Optique

Evgeny Kharlamov, Christoforos Svingos, Dmitriy Zheleznyakov, Ian Horrocks, Yannis Ioannidis, Ralf Moeller, Sebastian Brandt, Ernesto Jimenez-Ruiz, Yannis Kotidis, Steffen Lamparter, Theofilos Mailis, Christian Neuenstadt (+2 others)
2016 Proceedings of the 2016 International Conference on Management of Data - SIGMOD '16  
We will demo the benefits of OPTIQUE on a real world scenario from Siemens.  ...  Although many of these queries retrieve data of the same kind, such as temperature measurements, they access structurally different data sources.  ...  This research has been partially supported by the EU project Optique (FP7-IP-318338), the Royal Society, the EPSRC grants Score!, DBonto, and MaSI 3 .  ... 
doi:10.1145/2882903.2899385 dblp:conf/sigmod/KharlamovBJKLMN16 fatcat:r5hcgvmrurbe7a6rxjenrcn4xq

Addressing Streaming and Historical Data in OBDA Systems: Optique's Approach

Ian Horrocks, Thomas Hubauer, Ernesto Jiménez-Ruiz, Evgeny Kharlamov, Manolis Koubarakis, Ralf Möller, Konstantina Bereta, Christian Neuenstadt, Özgür L. Özçep, Mikhail Roshchin, Panayiotis Smeros, Dmitriy Zheleznyakov
2013 Extended Semantic Web Conference  
We present the Optique project that addresses this problem by developing an Ontology Based Data Access (OBDA) system that incorporates novel tools and methodologies for processing and analyses of temporal  ...  This tasks bring up importance of both streaming and historical (temporal) data in the Big Data challenge for industries.  ...  The research presented in this paper was financed by the Seventh Framework Program (FP7) of the European Commission under Grant Agreement 318338, the Optique project.  ... 
dblp:conf/esws/HorrocksHJKKMBNORSZ13 fatcat:sadbbehy3rfdfowswazgxxvtce

How Semantic Technologies Can Enhance Data Access at Siemens Energy [chapter]

Evgeny Kharlamov, Nina Solomakhina, Özgür Lütfü Özçep, Dmitriy Zheleznyakov, Thomas Hubauer, Steffen Lamparter, Mikhail Roshchin, Ahmet Soylu, Stuart Watson
2014 Lecture Notes in Computer Science  
We advocate for Ontology Based Data Access (OBDA) as a suitable Semantic Web driven technology to address the challenge.  ...  We present a description and analysis of the data access challenge in the Siemens Energy.  ...  use to describe the data, and the way the data is actually described and structured in databases.  ... 
doi:10.1007/978-3-319-11964-9_38 fatcat:fzkk5pwsjzd25jcicvlvlgg7ae

A semantic approach to polystores

E. Kharlamov, T. Mailis, K. Bereta, D. Bilidas, S. Brandt, E. Jimenez-Ruiz, S. Lamparter, C. Neuenstadt, O. Ozcep, A. Soylu, C. Svingos, G. Xiao (+8 others)
2016 2016 IEEE International Conference on Big Data (Big Data)  
In this paper we discuss a semantic approach to building polystores using the OBDA paradigm.  ...  In the Semantic Web community a similar in spirit approach of Ontology-Based Data Access (OBDA) has been recently proposed, attracted a lot of attention, and proved its success in several industrial scenarios  ...  The overall goal is to integrate the OPTIQUE platform into the Siemens system for stream monitoring and data analytics.  ... 
doi:10.1109/bigdata.2016.7840898 dblp:conf/bigdataconf/KharlamovMBBBJL16 fatcat:qoo6qitn4nf6jiqwltr7ehqj3a

Querying industrial stream-temporal data: An ontology-based visual approach1

Ahmet Soylu, Martin Giese, Rudolf Schlatte, Ernesto Jimenez-Ruiz, Evgeny Kharlamov, Özgür Özçep, Christian Neuenstadt, Sebastian Brandt, Antonis Bikakis, Thanos G. Stavropoulos, Georgios Meditskos
2017 Journal of Ambient Intelligence and Smart Environments  
., semantically rich conceptual domain models, present an intelligible solution by describing the domain of interest on a higher level of abstraction closer to the reality.  ...  Moreover, recent ontology-based data access (OBDA) technologies enable end users to formulate their information needs into queries using a set of terms defined in an ontology.  ...  In STARQL, querying historical and streaming data proceeds in an analogous way and in both cases the query may refer to static data, i.e., data that do not have a timestamp and hence are considered to  ... 
doi:10.3233/ais-160415 fatcat:4lscdqnu7jgexdg444kdajfywq

Domain Experts Surfing on Stream Sensor Data over Ontologies

Ahmet Soylu, Martin Giese, Rudolf Schlatte, Ernesto Jiménez-Ruiz, Özgür L. Özçep, Sebastian Brandt
2016 Extended Semantic Web Conference  
OptiqueVQS is valuable also conceptually as an instance of the end-user programming paradigm in pervasive environments aiming to empower end users to orchestrate data and devices distributed across the  ...  In this paper, we report an ontology-based visual query system, namely OptiqueVQS, how it is extended for a stream query language called STARQL, and its first encounter with domain experts at Siemens AG  ...  This research is funded by the Seventh Framework Program (FP7) of the European Commission under Grant Agreement 318338, "Optique".  ... 
dblp:conf/esws/SoyluGSJOB16 fatcat:mcvvgeq3crdz7ggirpmw3wcida

Ontology Based Data Access on Temporal and Streaming Data [chapter]

Özgür Lütfü Özçep, Ralf Möller
2014 Lecture Notes in Computer Science  
it can be used within the OBDA paradigm (Ontology Based Data Access in the classical sense) and within the ABDEO paradigm (Accessing Big Data over Expressive Ontologies).  ...  On a more detailed level, we discuss the new language STARQL (Reasoning-based Query Language for Streaming and Temporal ontology Access).  ...  description logics, and, moreover, it finds its way into industrial applications, two of which are the STATOIL and the SIEMENS use cases in the FP7 framework OPTIQUE http://www.optique-project.eu/.  ... 
doi:10.1007/978-3-319-10587-1_7 fatcat:hxxseki2izf7ndwrrnpfzwvofe

Virtual Knowledge Graphs: An Overview of Systems and Use Cases

Guohui Xiao, Linfang Ding, Benjamin Cogrel, Diego Calvanese
2019 Data Intelligence  
Integrating data and providing a convenient access to them are work-intensive, expensive but essential activities, as it is critical for organizations to be data-driven to stay competitive.  ...  In this paper, we present the virtual knowledge graph (VKG) paradigm for data integration and access, also known in the literature as Ontology-based Data Access.  ...  In the Siemens Energy use case described above [53] , the real-time analysis of data streams received from appliances requires the platform to support the access and integration of streaming data with  ... 
doi:10.1162/dint_a_00011 fatcat:dogtoffhbncx7lxxagytwlxz2u

Ontology-Based Data Access: A Survey

Guohui Xiao, Diego Calvanese, Roman Kontchakov, Domenico Lembo, Antonella Poggi, Riccardo Rosati, Michael Zakharyaschev
2018 Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence  
We present the framework of ontology-based data access, a semantic paradigm for providing a convenient and user-friendly access to data repositories, which has been actively developed and studied in the  ...  Focusing on relational data sources, we discuss the main ingredients of ontology-based data access, key theoretical results, techniques, applications and future challenges.  ...  Acknowledgements We thank the reviewers for their suggestions. This work was supported by the OBATS project at the Free Univ. of Bozen-Bolzano and by the Euregio (EGTC) IPN12 project KAOS.  ... 
doi:10.24963/ijcai.2018/777 dblp:conf/ijcai/XiaoCKLPRZ18 fatcat:vfjvc3sdybdippt5dzppvq2gsq

Ontology Based Data Access in Statoil

Evgeny Kharlamov, Dag Hovland, Martin G. Skjæveland, Dimitris Bilidas, Ernesto Jiménez-Ruiz, Guohui Xiao, Ahmet Soylu, Davide Lanti, Martin Rezk, Dmitriy Zheleznyakov, Martin Giese, Hallstein Lie (+4 others)
2017 Journal of Web Semantics  
Ontology Based Data Access (OBDA) is a prominent approach to query databases which uses an ontology to expose data in a conceptually clear manner by abstracting away from the technical schema-level details  ...  The ontology is 'connected' to the data via mappings that allow to automatically translate queries posed over the ontology into data-level queries that can be executed by the underlying database management  ...  This work was partially funded by the EU project Optique (FP7-ICT-318338), the EPSRC projects MaSI 3 , DBOnto, ED 3 , the BIGMED project (IKT 259055), and the SIRIUS Centre for Scalable Data Access (Research  ... 
doi:10.1016/j.websem.2017.05.005 fatcat:ghpdmsaoizc6bgly4cuyxljvq4

Ontology Based Data Access in Statoil

Evgeny Kharlamov, Dimitris Bilidas, Dag Hovland, Ernesto Jimenez-Ruiz, Davide Lanti, Hallstein Lie, Martin Rezk, Martin G. Skjjveland, Ahmet Soylu, Guohui Xiao, Dimitriy Zheleznyakov, Martin Giese (+4 others)
2017 Social Science Research Network  
Ontology Based Data Access (OBDA) is a prominent approach to query databases which uses an ontology to expose data in a conceptually clear manner by abstracting away from the technical schema-level details  ...  The ontology is 'connected' to the data via mappings that allow to automatically translate queries posed over the ontology into data-level queries that can be executed by the underlying database management  ...  This work was partially funded by the EU project Optique (FP7-ICT-318338), the EPSRC projects MaSI 3 , DBOnto, ED 3 , the BIGMED project (IKT 259055), and the SIRIUS Centre for Scalable Data Access (Research  ... 
doi:10.2139/ssrn.3199136 fatcat:l23bxm5dgrcolfr4p43cs6efre

IoT-Stream: A Lightweight Ontology for Internet of Things Data Streams and Its Use with Data Analytics and Event Detection Services

Tarek Elsaleh, Shirin Enshaeifar, Roonak Rezvani, Sahr Thomas Acton, Valentinas Janeiko, Maria Bermudez-Edo
2020 Sensors  
Semantics are increasingly used to share sensory data, but not so much for annotating stream data.  ...  Semantic models for stream annotation are scarce, as generally semantics are heavy to process and not ideal for Internet of things (IoT) environments, where the data are frequently updated.  ...  Acknowledgments: The authors would like to thank the members of the IoTCrawler consortium for their feedback. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s20040953 pmid:32053898 pmcid:PMC7071512 fatcat:fodkog3canenxfpikp3itiwya4
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