Filters








7,857 Hits in 2.8 sec

A Versioning Management Model for Ontology-Based Data Warehouses [chapter]

Dung Nguyen Xuan, Ladjel Bellatreche, Guy Pierra
2006 Lecture Notes in Computer Science  
To automate the integration process, a number of these systems suppose the existence of a shared domain ontology a priori referenced by the local ontologies embedded in the various sources.  ...  In this paper, we propose an approach and a model to deal with this problem in the context of a materialized integration system.  ...  Section 3 presents our approach to manage evolution of contents and schemas of data sources.  ... 
doi:10.1007/11823728_19 fatcat:voitxlkzrfgxvk7etvkkx2o54q

An Ontology based Hybrid Approach to Derive Multidimensional Schema for Data Warehouse

M. Thenmozhi, K. Vivekanandan
2012 International Journal of Computer Applications  
Due to the diversity of data source data integration has become a challenging task. Data warehouse system plays a vital role to integrate the data for making important business decisions.  ...  In past many works exist to carry out the design of the multidimensional schema for data warehouse from either requirements and/or data sources.  ...  The data warehouse process consists of three phases: extraction of data from distributed operational sources; integration and organization of data consistently into the DW; accessing the integrated data  ... 
doi:10.5120/8590-2343 fatcat:f4ffj3rtuzgl7g7gbzz5w4fljm

Toward Multi-Approach Model for Semi-Automating a Data Warehousedesign from an Ontology

Morad Hajji, Mohammed Qbadou, Khalifa Mansouri
2017 Transactions on Machine Learning and Artificial Intelligence  
On the other hand, the approaches of a Data Warehouse design from an ontology differ fundamentally according to the level of representation considered of this ontology.  ...  Regarding multidimensional approaches, researches in this field have focused on direct Data Warehouse conception from an ontology, which do not integrate the intervention of the expert in this process.  ...  Each integration is a new approach for designing a Data Warehouse from an ontology.  ... 
doi:10.14738/tmlai.54.3337 fatcat:r55ffsuy6fayphjuacnzgy2t4m

Data Integration in Genomic Medicine: Trends and Applications

J. A. Seoane, V. Aguiar-Pulido, A. Pazos, J. Dorado
2012 IMIA Yearbook of Medical Informatics  
, data warehouse or federated approaches, are suitable for specific domains.  ...  data integration, specifically in genomic medical data, analyzing the evolution of architecture and integration techniques during the last 20 years, and its usage.Most of these solutions, based on cross-linking  ...  To optimize performance, data can be managed alternatively within a relational database or integrated from external data sources, combining the advantages of data warehouse and federated approach.  ... 
doi:10.1055/s-0038-1639441 fatcat:hz5gpjymdzdwrnmxantc3g4qom

A Framework for Warehousing the Web Contents [chapter]

Yan Zhu
1999 Lecture Notes in Computer Science  
The Ontologies are used to represent domain knowledge related to Web sources and the logic model of data warehouses.  ...  In this framework, a hybrid (partially materialized) approach and extended ontologies are used to achieve Web data integration.  ...  The author would also like to thank Christof Bornhövd and Ronald Bourret for their productive discussions with regard to some parts of this paper.  ... 
doi:10.1007/978-3-540-46652-9_9 fatcat:5hwudgqmdjctzfdq2ufvszsm54

The potential of semantic paradigm in warehousing of big data

Marina Ptiček, Boris Vrdoljak, Marko Gulić
2019 Automatika  
Similarly, the emergence of NoSQL databases has started to push traditional (relational) data warehouses out of the research and even practical focus.  ...  Data warehousing is known for the strict modelling process, capturing the essence of the business processes. For that reason, a mere integration to bridge the NoSQL gap is not enough.  ...  Ontology-based approaches to data integration and data warehouse design phases of various data sources are reviewed and future research directions are discussed, all aimed at alleviation of data warehouse  ... 
doi:10.1080/00051144.2019.1630582 fatcat:kjbe7jxjrngazcuiis77ijsziu

Meta-data based mediator generation

T. Critchlow, M. Ganesh, R. Musick
1998 Proceedings 3rd IFCIS International Conference on Cooperative Information Systems (Cat No 98EX122) COOPIS-98  
This maintenance may be a significant undertaking if a warehouse integrates several dynamic data sources.  ...  Mediators are a critical component of any data warehouse, particularly one utilizing partially materialized views; they transform data from its source format to the warehouse representation while resolving  ...  To quickly adapt to the changes in source database schemas D&Foundry uses a mediated 1201 data warehouse architecture supported by a domain ontology.  ... 
doi:10.1109/coopis.1998.706195 dblp:conf/coopis/CritchlowGM98 fatcat:kodoth66gnemnc4g25pv4f3xvi

Web Services Based Integration Tool for Heterogeneous Databases

Amin Noaman, Fathy Essia, Mostafa Salah
2013 International Journal of Research in Engineering and Science  
The integration subsystem collects data from heterogeneous data sources, unifies them based on ontology and stores the unified data in a data warehousing, which its schema is generated automatically by  ...  The query tool has been built to accept the requests from a user and manipulate data in the data warehouse and return the results to the user.  ...  The integration tool reads the schema of each data store and the ontology-2 information and builds data warehouse schema (structure) for those data stores.  ... 
doi:10.9790/9364-0131626 fatcat:muyucfx7wnf2nllwqbzqujiusm

Architecture for Accessing Heterogeneous Databases

Mohd Kamir Yusof, Ahmad Faisal Amri Abidin, Mohd Nordin Abdul Rahman
2012 International Journal of Information Technology and Computer Science  
Ontology approach was implemented and combined with these algorithms. In ontology approach, web semantic was implemented in order to retrieve only relevant data from database.  ...  The result indicates this architecture able to improve web query processing in term of time. The result also indicates this architecture able to retrieve and displayed more relevant data to web users.  ...  Data Warehouse Data warehouse is a data repository that provide variety of data to web users. Data from different sources are located at single place.  ... 
doi:10.5815/ijitcs.2012.01.04 fatcat:onjs6rdhkvh7hdvv2f62k3km2m

On new emerging concepts of modeling petroleum digital ecosystems by multidimensional data warehousing and mining approaches

Shastri L. Nimmagadda, Heinz Dreher, Muhammad Nawaz, Kamran Laiq
2010 4th IEEE International Conference on Digital Ecosystems and Technologies  
), integration (within data warehouse environment) and data mining of interpretable emerging petroleum digital ecosystems are accomplished.  ...  Index Terms-ontology, petroleum systems, data warehousing, mining and basins data.  ...  The need to integrate petroleum systems data from multiple systems and sources is well known [1] and [4] .  ... 
doi:10.1109/dest.2010.5610598 fatcat:l4d4laprr5hrtctf7bbyxrgwdu

Interoperability on XML Data [chapter]

Laks V. S. Lakshmanan, Fereidoon Sadri
2003 Lecture Notes in Computer Science  
Our approach is based on enriching local sources with semantic declarations so as to enable interoperability.  ...  We study the problem of interoperability among XML data sources. We propose a lightweight infrastructure for this purpose that derives its inspiration from the recent semantic web initiative.  ...  Most approaches to data integration involve deriving a global schema, which integrates local schemas. Then mappings are provided between the global schema and local schemas.  ... 
doi:10.1007/978-3-540-39718-2_10 fatcat:goxybrvjo5a3ljhzgixd7htagu

A Survey Of Semantic Integration Approaches In Bioinformatics

Chaimaa Messaoudi, Rachida Fissoune, Hassan Badir
2016 Zenodo  
We provide a survey of some approaches and techniques for integrating biological data, we focus on those developed in the ontology community.  ...  Such advances involve and require powerful techniques for data integration to extract pertinent knowledge and information for a specific question.  ...  However, difficulties associated with maintaining a warehouse are several (updating the data warehouse compared to the data sources).  ... 
doi:10.5281/zenodo.1128003 fatcat:hqgxuhfqwrgori2u7ox2c3c2ce

AN ONTOLOGY-BASED DATA WAREHOUSE FOR THE GRAIN TRADE DOMAIN

Mhamed Itmi, Boulares Ouchenne
2018 Figshare  
In this study, we will tackle this problem trough using ontologies and semantic web techniques to integrate and model information.  ...  The contributions of this paper are an ontology for the field of grain trade and a semantic data warehouse which uses the ontology as a conceptual data-model.  ...  To tackle this problem, we will use ontologies to facilitate the integration of heterogeneous data sources by resolving semantic heterogeneity between them [4, 5, 6] .  ... 
doi:10.6084/m9.figshare.6264629.v1 fatcat:ixivu2qbhbb6dnhpsrcol5zzsm

Quality controls in integrative approaches to detect errors and inconsistencies in biological databases

Giorgio Ghisalberti, Marco Masseroli, Luca Tettamanti
2010 Journal of Integrative Bioinformatics  
Effective use of available data in order to derive new knowledge hence requires data integration and quality improvement. Many approaches for data integration have been proposed.  ...  In order to ease maintaining updated the GPDW and to ensure the best possible quality of data integrated in subsequent updating of the data warehouse, we developed several automatic procedures.  ...  data sources to provide ontology data.  ... 
doi:10.1515/jib-2010-119 fatcat:xtbsy7awqfgzra2jlcfysyqmiy

Data Warehouse Design and Optimization for Drilling Engineering

Ning Jing
2012 Open Petroleum Engineering Journal  
The authors also present a method of drilling data integration based on ontology.  ...  With the development of petroleum informatization and increase of drilling data, data storage, analysis and integration is attached to the key planning process.  ...  Heterogeneous data integration system, with the establishment of mapping from data source to local ontology and local ontology to the global ontology, establishes a unified semantic of data source to complete  ... 
doi:10.2174/1874834101205010124 fatcat:66jipy5esje6xhqi4sv4kmxzz4
« Previous Showing results 1 — 15 out of 7,857 results