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Robust prediction from multiple heterogeneous data sources with partial information

Mohammad S. Aziz, Chandan K. Reddy
2010 Proceedings of the 19th ACM international conference on Information and knowledge management - CIKM '10  
Most of the recent research on data integration have been primarily focused on the cases where the information is available across all the different sources and can not effectively integrate sources in  ...  Significant research efforts for robust integration of information from multiple sources are being pursued at a rapid pace.  ...  We propose a heterogeneous boosting based integration framework that will exploit all the available (including partial) information from multiple data sources.  ... 
doi:10.1145/1871437.1871747 dblp:conf/cikm/AzizR10 fatcat:mbqbwv6s35dttkytpnnc3y5hzm

Ontology and Clustering Based Heterogeneous Data Sources Integration

Abrar Omar Alkhamisi
2020 International Journal of Advanced Trends in Computer Science and Engineering  
Thus, this work presents heterogeneous data source integration model based on novel semantic ontology.  ...  Hence, it is significant to integrate the heterogeneous data sources into unified information-rich systems with the help of ontologies.  ...  LITERATURE REVIEW This work focuses on identifying the solution for integrating the multiple and heterogeneous data sources into a unified system using the ontology source.  ... 
doi:10.30534/ijatcse/2020/79942020 fatcat:eqg4nhf3azfwjh4noal3dn6sly

An Approach to Resolve Data Model Heterogeneities in Multiple Data Sources

C. Chirathamjaree
2006 TENCON 2006 - 2006 IEEE Region 10 Conference  
To gain a competitive advantage, it is imperative for executives to be able to obtain one unique view of information, normally scattered across disparate data sources, in an accurate and timely manner.  ...  To interoperate data sources which differ structurally and semantically, particular problems occur, for example, problems of changing schema in data sources will affect the integrated schema.  ...  In Tight-coupling approach or fully integrated approach, individual schema from multiple data sources is merged by one or more schemas.  ... 
doi:10.1109/tencon.2006.343819 fatcat:3ymtqldmxnaahilb7uphfcbhg4

Logical Data Integration Model for the Integration of Data Repositories

Waseem Jeelani Bakshi, Rana Hashmy, Majid Zaman, Muheet Ahmed Butt
2018 International Journal of Database Theory and Application  
Physical integration of heterogeneous data sources is too high a price for small and medium level enterprises.  ...  In this paper we propose a LDIM (Logical Data Integration Model) which will describe data, schema and context for integration of heterogeneous data sources including legacy repositories.  ...  Over the years there have been multiple approaches to solve the information integration challenges posed by these heterogeneous data environments.  ... 
doi:10.14257/ijdta.2018.11.1.03 fatcat:jp2fmbs6ybe4jd3xyqe5rmiagm

Information Integration for Heterogeneous Data Sources

Er. Majid Zaman
2012 IOSR Journal of Engineering  
This paper introduces ideaof Information integration based on search criteria from heterogeneous data sources into single data source.  ...  integrated from heterogeneous data sources into single data source are faced upon by major challenge of information transformation-were in different formats and constraints in data transformation are  ...  Heterogeneous data sources are searched based on user criteria and result of n sources is integrated into single source, this data source is created every time heterogeneous information systems are to  ... 
doi:10.9790/3021-0204640643 fatcat:3bzfghxuozar3myyn3hdmlegmu

MMIS07, 08

Xingquan Zhu, Ruoming Jin, Yuri Breitbart, Gagan Agrawal
2008 SIGKDD Explorations  
In this report, we summarize the research issues, contents, and outcomes of the two recent workshops on Mining Multiple Information Sources (MMIS-07, 08) collocated with the 13th and the 14th ACM SIGKDD  ...  We first summarize the research issues and topics which in workshop co-chairs' view are the major challenges for mining multiple information sources.  ...  Such as data integration for multiple information sources, clustering multi-source data, supervised learning with multiple data sources, association rule mining and stream data mining under multi-source  ... 
doi:10.1145/1540276.1540295 fatcat:m4sbukev5jebxi7sphd3cudrpa

Modelling of Data Extraction in ETL Processes Using UML 2.0

M. Mrunalini, T.V. Suresh Kumar, D. Evangelin Geetha
2006 DESIDOC Bulletin of Information Technology  
The data extraction scenario consists of data staging area, heterogeneous information sources, wrappers, monitors, integrator, and source identifier.  ...  The topic of data warehousing encompasses architectures, algorithms, and tools for bringing together the selected data from multiple databases or other information sources into a single repository called  ...  INTRODUCTION Providing integrated access to multiple, distributed, heterogeneous databases and other information sources has become one of the leading issues in database research and industry'.  ... 
doi:10.14429/dbit.26.3.3690 fatcat:dzicehwuknfxxgqgcygibmlori

Context Aware Information Retrieval for Enhanced Situation Awareness

Ali Bahrami, Jun Yuan, Paul R. Smart, Nigel R. Shadbolt
2007 MILCOM 2007 - IEEE Military Communications Conference  
In the coalition forces, users are increasingly challenged with the issues of information overload and correlation of information from heterogeneous sources.  ...  Information systems need to help users pull together data from disparate sources according to their expressed needs (as represented by system queries), as well as less specific criteria.  ...  semantic integration [2] and aggregation over multiple heterogeneous information sources.  ... 
doi:10.1109/milcom.2007.4454827 fatcat:bxfrtu522fahzpp5onctaodiky

Information Integration Across Heterogeneous Sources: Where Do We Stand and How to Proceed?

Aditya Telang, Sharma Chakravarthy, Yan Huang
2008 International Conference on Management of Data  
) answers have to be retrieved and integrated from multiple sources.  ...  From the time of distributed databases leading to heterogeneous, federated, and multi-databases, retrieval and integration of information from heterogeneous sources has been an important and complex problem  ...  still need to be tackled in the context of heterogeneous data integration on the Web.  ... 
dblp:conf/comad/TelangCH08 fatcat:klfc5u6jjfaivixpvn7ytv7iai

On Using Distributed Extended XQuery for Web Data Sources as Services [chapter]

Muhammad Intizar Ali, Reinhard Pichler, Hong-Linh Truong, Schahram Dustdar
2009 Lecture Notes in Computer Science  
DeXIN (Distributed extended XQuery for data INtegration) integrates multiple, heterogeneous, highly distributed and rapidly changing web data sources in different formats, e.g.  ...  XML, RDF and relational data. DeXIN is a RESTful data integration web service which integrates heterogeneous distributed data sources, including data services (DaaS -data as a service).  ...  If the data service provider provides some schema information about data sources, the user can click on "Show Schema", to see the schema information, which is helpful for designing queries for that particular  ... 
doi:10.1007/978-3-642-02818-2_47 fatcat:vum25azu25aizbyh2wgkp7wbzq

A Data Sharing and Integration Technology for Heterogeneous Databases

Yongjie Zhu, Youcheng Li
2022 North atlantic university union: International Journal of Circuits, Systems and Signal Processing  
The solution of data sharing between heterogeneous databases can accelerate the integration of information systems with departments and businesses as the core among enterprises, form a broader and more  ...  For a long time, there are a large number of heterogeneous databases on the network, and their heterogeneity is manifested in many aspects.  ...  to realize the connection of multiple heterogeneous data sources.  ... 
doi:10.46300/9106.2022.16.28 fatcat:ag7e4jsgcnhfrcdoqcq3ff22nm

Kleisli: a new tool for data integration in biology

Su Yun Chung, Limsoon Wong
1999 Trends in Biotechnology  
The opinions or assertions contained herein are the private ones of the authors and are not to be construed as official or reflecting the views of the US Department of Defense or the Uniformed Services  ...  multiple heterogeneous databases and data integration.  ...  The tasks involved include: complex queries across multiple heterogeneous data sources; data warehousing by merging data derived from multiple public sources and local (private) sources; and multiple data-analysis  ... 
doi:10.1016/s0167-7799(99)01342-6 pmid:10461180 fatcat:wbhj5jz7ozcv7ed3byuh2zjtv4

Solving problems of research information heterogeneity during integration – using the European CERIF and German RCD standards as examples

Otmane Azeroual, Gunter Saake, Mohammad Abuosba, Joachim Schöpfel
2019 Information Services and Use  
Integrating data from a variety of heterogeneous internal and external data sources (e.g.  ...  In order to ensure the quality of research information in an institutions data sources during its integration into the RIMS.  ...  Information collected from multiple distributed and heterogeneous data sources, in various formats and with different data structures must be moved into one single or multiple data store(s).  ... 
doi:10.3233/isu-180030 fatcat:5qqi2za3tvaorosuzyshk3p2vq

Information Retrieval Architecture for Heterogeneous Big Data on Situation Awareness

Jongwook Woo
2013 International Journal of Advanced Science and Technology  
The paper proposes the model of the data integrations systems with which the buyer/user searches and aggregates organizational entity from multiple heterogeneous data sources in order to have a contract  ...  The requirement for the systems is to retrieve and integrate heterogeneous data which is non-or semi-structured. And, the systems need to be alerted when the data is changed.  ...  Data Migration and Integration service retrieves heterogeneous data periodically from multiple data sources.  ... 
doi:10.14257/ijast.2013.59.09 fatcat:ervhqkqlj5dkjn7bangnh3ftqe

OWL based XML Data Integration

Manjula ShenoyK, K. C. Shet, U. Dinesh Acharya
2013 International Journal of Computer Applications  
Here data sources chosen are assumed to be in XML format with different schema General Terms Data integration, ontology, information integration. Artificial Intelligence.  ...  The purpose of integration system is to provide a unified global view to the user over various heterogeneous data sources.  ...  INTRODUCTION Data integration helps in manipulating data transparently across multiple distributed databases. Independent data sources are often heterogeneous in nature.  ... 
doi:10.5120/11550-6827 fatcat:l6gsfuysbrbg7h67xcdj7ewbzy
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