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An Approach for Mapping Relational Database into Ontology

Mohamed A. G. Hazber, Ruixuan Li, Yuxi Zhang, Guandong Xu
2015 2015 12th Web Information System and Application Conference (WISA)  
Sharing and reusing the big data in relational databases in a semantic way have become a big challenge.  ...  In this paper, we propose a new approach to enable semantic web applications to access relational databases (RDBs) and their contents by semantic methods.  ...  Methods [12] , [13] and [14] used semi-automatic mapping rules for learning and extracting a global OWL ontology from RDB.  ... 
doi:10.1109/wisa.2015.25 dblp:conf/IEEEwisa/HazberLZX15 fatcat:gp7qu4k6rjc7joqb6l7u6zsjoy

Integrating Databases into the Semantic Web through an Ontology-Based Framework

Dejing Dou, P. LePendu, Shiwoong Kim, Peishen Qi
2006 22nd International Conference on Data Engineering Workshops (ICDEW'06)  
To integrate databases into the Semantic Web, we use Semantic Web ontologies to incorporate database schemas.  ...  An expressive first order ontology language, Web-PDDL, is used to define the structure, semantics, and mappings of data resources.  ...  The system will then enter into an interactive loop with the learning and mining modules, during which the user will make further refinements.  ... 
doi:10.1109/icdew.2006.68 dblp:conf/icde/DouLKQ06 fatcat:xjmzy3s7yfam3iuik5a7253k3u

The use of ontologies for effective knowledge modelling and information retrieval

Kamran Munir, M. Sheraz Anjum
2018 Applied Computing and Informatics  
Moreover, the comparison presented between various ontology-based information retrieval, database-to-ontology transformations and ontology-to-database mappings approaches provides a reference for enhancing  ...  It also extensively compares the existing ontology-to-database transformation and mapping approaches in terms of loss of data and semantics, structural mapping and domain knowledge applicability.  ...  Ontology-to-database mapping approaches The ontology-to-database mapping approaches assume the existence of both a relational database and an ontology and produce a set of corresponding mappings between  ... 
doi:10.1016/j.aci.2017.07.003 fatcat:l5r2zvkuxfgt5c3fkjdn7mmb34

Reverse Engineering of Relational Databases to Ontologies [chapter]

Irina Astrova
2004 Lecture Notes in Computer Science  
We propose a novel approach to reverse engineering of relational databases to ontologies.  ...  Our approach is based on the idea that semantics of a relational database can be inferred, without an explicit analysis of relational schema, tuples and user queries.  ...  The results of learning tasks are related to a current state of the relational database; they are, therefore, generalized into knowledge about all possible states through an induction process.  ... 
doi:10.1007/978-3-540-25956-5_23 fatcat:5f6qfsilqjgt3n7luji3qze5ee

Intelligent machine for ontological representation of massive pedagogical knowledge based on neural networks

Abdelladim Hadioui, Yassine Benjelloun Touimi, Nour-eddine El Faddouli, Samir Bennani
2021 International Journal of Power Electronics and Drive Systems (IJPEDS)  
In order to achieve such an objective, ontological approaches are taken, namely: mapping, learning and enrichment, in addition to artificial intelligence-based approaches which are relevant in our research  ...  In this context, the research at hand is aimed at transforming the big data produced via interactions into big knowledge that can be used in MOOCs by actors falling within a given learning level within  ...  from learning actors. − The second algorithm: In this algorithm, the system incorporates ontological learning approaches during knowledge extraction from the database layer into the ontological layer.  ... 
doi:10.11591/ijece.v11i2.pp1675-1688 fatcat:hln7qev6bbde3eaeotdkhkkwh4

A Novel Method for Generating an Elearning Ontology

Mohammed Reda Chbihi Louhdi, Hicham Behja, Said Ouatik El Alaoui
2013 International Journal of Data Mining & Knowledge Management Process  
Elearning has specific requirements that can be satisfied through the extraction of semantics from learning management systems (LMS) that use relational databases (RDB) as backend.  ...  In this paper, we propose transformation rules for building owl ontology from the RDB of the open source LMS Moodle. It allows transforming all possible cases in RDBs into ontological constructs.  ...  ACKNOWLEDGMENTS We want to thank Misters Driss Goujdami and Abdelali Rochdi for providing us a dump file of the database of the pedagogical platform of the Cadi Ayyad University.  ... 
doi:10.5121/ijdkp.2013.3610 fatcat:wlh424zzfbgefj7jmasgnose7q

User-Driven Ontology Learning from Structured Data

C. Jacinto, Claudia Antunes
2012 2012 IEEE/ACIS 11th International Conference on Computer and Information Science  
This paper extends the work by Borgida [1], giving to the user the possibility to choose the level of detail of a domain ontology learnt from a relational database.  ...  This is probably due to the existence of a model behind that kind of data, that without being an ontology, reveals some data semantics.  ...  -IS-A relationships are naturally mapped into IS-A relations.  ... 
doi:10.1109/icis.2012.115 dblp:conf/ACISicis/JacintoA12 fatcat:kldxlsfsdvgmvdmp76dbto2pci

Integrating Learning Object Repositories Using a Mediator Architecture [chapter]

Philipp Kärger, Carsten Ullrich, Erica Melis
2006 Lecture Notes in Computer Science  
For the translation of queries, a novel ontology-based query-rewriting method has been developed.  ...  The architecture has been realized in the Web-based, user-adaptive and interactive e-learning environment ActiveMath.  ...  Acknowledgements We would like to thank Oleg Rostanin for his help to integrate the DaMiTrepository, Mike Pearson for his advice and provision of an access to the Maths-Thesaurus, and Mark Spanbroek for  ... 
doi:10.1007/11876663_16 fatcat:yjxx7foehjaubn4nuc37wgx2rq

Predicting candidate genes from phenotypes, functions, and anatomical site of expression [article]

Jun Chen, Azza Althagafi, Robert Hoehndorf
2020 biorxiv/medrxiv   pre-print
Results: We developed a novel graph-based machine learning method for biomedical ontologies which is able to exploit axioms in ontologies and other graph-structured data.  ...  These methods generally compute the similarity between a patient's phenotypes and a database of gene-phenotype to find the most phenotypically similar match.  ...  We mapped the proteins to the UniProt database and filter out those entries that did not map to the UniProt database.  ... 
doi:10.1101/2020.03.30.015594 fatcat:vsr2lpzbmvcz7jesaio7dvrd6i

Formal Description and Automatic Generation of Learning Spaces Based on Ontologies

Ricardo Giuliani Martini, Giovani Rubert Librelotto, Pedro Rangel Henriques
2016 Procedia Computer Science  
These concepts together with the data (extracted from the real documents) stored in a digital storage format (XML datasets, relational databases, etc.) are displayed in an ontology-based learning space  ...  Thus, to impart relevant learning materials to the virtual LS, we propose the use of ontologies to represent the key concepts and semantic relations in an user-and machine-understandable format.  ...  into a relational database, represented by the edge (2) (Figure 1) .  ... 
doi:10.1016/j.procs.2016.08.136 fatcat:angcqwjhtze4hmpurs3fgvd224

Development of Ontology Information Retrieval System for Novice Researchers in Malaysia

Norasykin Zaid, Sim Lau
2011 Journal of Software & Systems Development  
A semantic search approach that applies ontology-based search is proposed.  ...  This research describes the development of an online thesis database system to assist novice researchers in a Malaysian university to identify research topics in local language context.  ...  ., 2005 of mapping relational databases into ontology.  ... 
doi:10.5171/2011.611355 fatcat:drtfg735mnd35anm2iisncw7tu

Semi-automatically Mapping Structured Sources into the Semantic Web [chapter]

Craig A. Knoblock, Pedro Szekely, José Luis Ambite, Aman Goel, Shubham Gupta, Kristina Lerman, Maria Muslea, Mohsen Taheriyan, Parag Mallick
2012 Lecture Notes in Computer Science  
There are tools, such as D2R, that allow a user to quickly convert a database into RDF, but these tools do not provide a way to easily map the data into an existing ontology.  ...  The resulting source models can then be used to convert data into RDF with respect to a given ontology or to define a SPARQL end point that can be queried with respect to an ontology.  ...  D2R maps a relational database into RDF with a schema closely resembling the database.  ... 
doi:10.1007/978-3-642-30284-8_32 fatcat:wvc6nf4vknhofnc4tuvyuwac24

An Overview of NLIDB Approaches and Implementation for Airline Reservation System

Manju Mony, Jyothi M. Rao, Manish M. Potey
2014 International Journal of Computer Applications  
Natural language interfaces to databases (NLIDB) are systems that translate a natural language sentence into a database query.  ...  Relational databases are queried using database query languages such as SQL.  ...  The relational database is converted into ontology. Concepts from the NL query and database ontology are represented and mapped.  ... 
doi:10.5120/18750-0006 fatcat:uvs4zngtxvgsvpf4ewa3gc7awi

Ontology-based knowledge discovery and sharing in bioinformatics and medical informatics: A brief survey

Jingshan Huang, Dejing Dou, Lei He, Pat Hayes, Jiangbo Dang
2010 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery  
As formal knowledge representation models, ontologies can render invaluable help in this regard.  ...  If we were able to effectively transfer and integrate data from all possible resources, then a deeper understanding of all these data sets and better exposed knowledge, along with appropriate insights  ...  Related Work According to the classification in [10] , most ontologymatching techniques [12] , [31] can be divided into two categories: rule-based approaches and learning-based approaches. 1) Rule-Based  ... 
doi:10.1109/fskd.2010.5569549 dblp:conf/fskd/HuangDHHD10 fatcat:5mi2yaiscjdohfoepmu5g45fdy

The TEXT-TO-ONTO Environment [chapter]

Alexander Maedche
2002 The Kluwer International Series in Engineering and Computer Science  
Our Ontology Learning Environment supports as well the acquisition of conceptual structures as mapping linguistic resources to the acquired structures.  ...  For this purpose, we present the TEXT-TO-ONTO Ontology Learning Environment, which is based on a general architecture for discovering conceptual structures and engineering ontologies from text.  ...  Conclusion We have presented an approach and an implemented system towards learning ontologies from text.  ... 
doi:10.1007/978-1-4615-0925-7_7 fatcat:ik6jlmxg7ndwzhlb7ice62ydxi
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