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Advances in Accessing Big Data with Expressive Ontologies [chapter]

Ralf Möller, Christian Neuenstadt, Özgür L. Özçep, Sebastian Wandelt
2013 Lecture Notes in Computer Science  
Recently, advances for the expressive DL SHI have been made in the dissertation of S. Wandelt for conceptbased instance retrieval on Big Data descriptions stored in secondary memory.  ...  Ontology-based query answering has to be supported w.r.t. secondary memory and very expressive ontologies to meet practical requirements in some applications.  ...  Solving the problem of Accessing Big Data with Expressive Ontologies (ABDEO) is an important research goal.  ... 
doi:10.1007/978-3-642-40942-4_11 fatcat:hqqqqqi3qzav7gexolukfezk5y

On the Semantics of Big Earth Observation Data (talk)

Gilberto Camara
2020 Zenodo  
These schemas lack expressive power. Existing ontologies for land classification are object-centered; to work with big data, we need to include occurrents.  ...  Data-driven approaches without robust theories can lead to results that will not advance our knowledge. We need sound theories to deal with big data without drowning in it.  ...  "Data-driven research should support, not replace, decision making by intelligent and skeptical humans" ("Data-driven Geography", 2015) "Knowledge about the world generated with big data might be more  ... 
doi:10.5281/zenodo.3873142 fatcat:k76ob52ot5efhloaovabuyzxyi

OptiqueVQS

Ahmet Soylu, Martin Giese, Ernesto Jimenez-Ruiz, Evgeny Kharlamov, Dmitry Zheleznyakov, Ian Horrocks
2013 Proceedings of the Fifth International Conference on Management of Emergent Digital EcoSystems - MEDES '13  
A recent EU project, named Optique, with a strong industrial perspective, strives to enable scalable end-user access to Big Data.  ...  the affects of Big Data.  ...  A recent EU project, named Optique -Scalable End-user Access to Big Data 1 , strives to alleviate the aforementioned challenges and employs an ontology-based approach, along with other techniques such  ... 
doi:10.1145/2536146.2536149 dblp:conf/medes/SoyluGJKZH13 fatcat:spyaxc4fwrexjejxmj36tsg5uy

An Infrastructure and Approach for Inferring Knowledge Over Big Data in the Vehicle Insurance Industry [chapter]

Aikaterini K. Kalou, Dimitrios A. Koutsomitropoulos
2016 Advances in Intelligent Systems and Computing  
Even though the concept of Big Data provides the needed infrastructure for efficient data management, especially in terms of storage and processing, the aspects of Value and Variety still remain a topic  ...  In our work, we propose a Property and Casualty ontology and then exploit an OBDA system in order to leverage its power.  ...  Background Big Data Ontology Access In recent years, quite a few data storage and processing technologies have emerged in terms of Big Data.  ... 
doi:10.1007/978-3-319-47898-2_30 fatcat:fbplh3jjdnffxnvufhlslnpkym

Research on Ontology Modeling of Steel Manufacturing Process Based on Big Data Analysis

Qing Bao, Jian Wang, Jin Cheng, H. Gong, B. Yan, J.H. Lee
2016 MATEC Web of Conferences  
Using data potentials, big data analysis can be an effective way to deal with knowledge acquisition as it solves the inaccuracy and imperfection mechanism modeling may lead to.  ...  T hen, ontology modeling gives the knowledge unified descriptions as well as inference details combined with semantic web tech niques.  ...  Ontology modeling and application Results from big data analysis in BDA KMS should be formalized by ontology and enriched with semantic web.  ... 
doi:10.1051/matecconf/20164504005 fatcat:3fk6ftu3rnchjmjjhly3rkoxga

Semantic technology for open data publishing

Gianluca Cima, Maurizio Lenzerini, Antonella Poggi
2017 Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics - WIMS '17  
Indeed, about a decade ago, a new paradigm for modeling and interacting with a data integration systems, called "Ontology-Based Data Access" (OBDA), was proposed [1] [2] [3] [4] .  ...  and interacts with the system by expressing her queries and goals in terms of a conceptual representation of the domain of interest, called ontology.  ...  Indeed, about a decade ago, a new paradigm for modeling and interacting with a data integration systems, called "Ontology-Based Data Access" (OBDA), was proposed [1] [2] [3] [4] .  ... 
doi:10.1145/3102254.3102255 dblp:conf/wims/CimaLP17 fatcat:pmaw6ek4fvdcdgikk3ygpxlyze

Big Data—Conceptual Modeling to the Rescue [chapter]

David W. Embley, Stephen W. Liddle
2013 Lecture Notes in Computer Science  
Ironically, in an era of unprecedented access to a veritable gold mine of information, it is increasingly difficult to unlock the value stored within our data.  ...  We do not envision any silver bullets that will slay the "werewolf" of Big Data, but conceptual modeling can help, as we illustrate with an example from our project that seeks to superimpose a web of knowledge  ...  (The predicate mappings associate the text recognized by the regular-expression capture groups 1, 2, 4, and 6 with new child x in their respective relationships in Figure Ontological Conceptualization  ... 
doi:10.1007/978-3-642-41924-9_1 fatcat:iy6yk743szgaxegyy46hscppdi

Semantic Technologies and Big Data Analytics for Cyber Defence

Louise Leenen, Thomas Meyer
2016 International Journal of Cyber Warfare and Terrorism  
The term big data analytics refers to advanced analytic techniques such as machine learning, predictive analysis, and other intelligent processing techniques applied to large data sets that contain different  ...  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.  ...  The ontology consistency, class expression satisfiability, class expression subsumption, instance checking, and conjunctive query answering problems can be solved in time that is polynomial with respect  ... 
doi:10.4018/ijcwt.2016070105 fatcat:h5pa46gt3zcxrgcdq77qrklk74

Big, Linked and Open Data: Applications in the German Aerospace Center [chapter]

C. Nikolaou, K. Kyzirakos, K. Bereta, K. Dogani, S. Giannakopoulou, P. Smeros, G. Garbis, M. Koubarakis, D. E. Molina, O. C. Dumitru, G. Schwarz, M. Datcu
2014 Lecture Notes in Computer Science  
In this paper, we present how we take advantage of the TerraSAR-X images of the German Aerospace Center in order to build applications on top of EO data.  ...  However, only a small part of this data is exploited.  ...  However, it is estimated that up to 95% of the data present in existing archives has never been accessed.  ... 
doi:10.1007/978-3-319-11955-7_64 fatcat:qgxzy27hsvbvjpbor6vpkjpn64

A Preliminary Approach on Ontology-Based Visual Query Formulation for Big Data [chapter]

Ahmet Soylu, Martin G. Skjæveland, Martin Giese, Ian Horrocks, Ernesto Jimenez-Ruiz, Evgeny Kharlamov, Dmitriy Zheleznyakov
2013 Communications in Computer and Information Science  
In this paper, we specifically present the preliminary design and development of our ontology-based visual query system and discuss directions for addressing the Big Data effect.  ...  Optique, an ongoing European project with a strong industrial perspective, aims to countervail the Big Data effect, and to enable scalable end-user data access to traditional relational databases by using  ...  In this respect, a European project named Optique 1 -Scalable End-user Access to Big Data, with an industrial perspective, has been undertaken in order to enable end-user data access to traditional relational  ... 
doi:10.1007/978-3-319-03437-9_21 fatcat:euhhdafkhvbq5bhf2qqoqoxiye

Semantic Web technologies for the big data in life sciences

Hongyan Wu, Atsuko Yamaguchi
2014 BioScience Trends  
The life sciences field is entering an era of big data with the breakthroughs of science and technology. More and more big data-related projects and activities are being performed in the world.  ...  The paper presents a survey of big data in life sciences, big data related projects and Semantic Web technologies.  ...  RDF is expressive with the simple triple format.  ... 
doi:10.5582/bst.2014.01048 fatcat:x2rlpyjel5cybarma34ji6sq3y

Scalable End-User Access to Big Data [chapter]

Martin Giese, Diego Calvanese, Peter Haase, Ian Horrocks, Yannis Ioannidis, Herald Kllapi, Manolis Koubarakis, Maurizio Lenzerini, Ralf Möller, Mariano Muro, Özgür Özçep, Riccardo Rosati (+4 others)
2013 Big Data Computing  
This chapter proposes steps towards the solution to the data access problem that end-users typically face when dealing with Big Data: • They need to pose ad hoc queries to a collection of data sources,  ...  possibly including streaming sources; • They are unable to query those sources on their own, but are dependent on assistance from IT experts; • The turnaround time for information requests is in the range  ...  The Optique solutions are evaluated on two comprehensive use cases from the energy sector with a variety of data access challenges related to Big Data. 8 The Data Access Problem of Big Data The situation  ... 
doi:10.1201/b16014-9 fatcat:3kjl6gnc7badpjskpigoqqcf5u

Big Data Techniques, Systems, Applications, and Platforms: Case Studies from Academia

Atanas Radenski, Todor Gurov, Kalinka Kaloyanova, Nikolay Kirov, Maria Nisheva, Peter Stanchev, Eugenia Stoimenova
2016 Proceedings of the 2016 Federated Conference on Computer Science and Information Systems  
Big data is a broad term with numerous dimensions, most notably: big data characteristics, techniques, software systems, application domains, computing platforms, and big data milieu (industry, government  ...  studies -like the one that is offered in this paper -a set that spreads over the principal big data dimensions can indeed be beneficial to the broad big data community by helping experts in one realm  ...  Current advances in biomedical research technology, expression and SNP microarrays yield big data sets for many thousands of transcripts, genes or SNPs.  ... 
doi:10.15439/2016f91 dblp:conf/fedcsis/RadenskiGKKNSS16 fatcat:22ekovjsajd5hhilzczvzoay7m

Medical Big Data Analysis in Hospital Information System [chapter]

Jing-Song Li, Yi-Fan Zhang, Yu Tian
2016 Big Data on Real-World Applications  
This chapter discusses medical Big Data analysis in HIS, including an introduction to the fundamental concepts, related platforms and technologies of medical Big Data processing, and advanced Big Data  ...  The rapidly increasing medical data generated from hospital information system (HIS) signifies the era of Big Data in the healthcare domain.  ...  These rules extended the expressivity of ontology with formal rule representation languages. 3.  ... 
doi:10.5772/63754 fatcat:wyzmm5x325fi5nvhsd25viyjby

Big Data as "Practical Ontology": The Ontotheology Underlying the Interpretation of Reality as Data

Guilherme Silva, Tales Tomaz
2021 Athena  
The article discusses the emergence of a "practical ontology" in some of the most triumphalist discourses on Big Data.  ...  Following his perspective, the article argues that the reduction of reality to data, as in many Big Data discourses, means putting functionality as the fundamental aspect of beings, hence – the idea of  ...  This paper deals with this question and advances a critique of the practical ontology of Big Data in the light of Heidegger's criticism of Western metaphysics as ontotheology.  ... 
doi:10.53631/athena.2021.16.1 fatcat:trte2shnibb5rkdqrjfsvsghpi
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