Related Research Articles
Ontology alignment, or ontology matching, is the process of determining correspondences between concepts in ontologies. A set of correspondences is also called an alignment. The phrase takes on a slightly different meaning, in computer science, cognitive science or philosophy.
Data integration involves combining data residing in different sources and providing users with a unified view of them. This process becomes significant in a variety of situations, which include both commercial and scientific domains. Data integration appears with increasing frequency as the volume and the need to share existing data explodes. It has become the focus of extensive theoretical work, and numerous open problems remain unsolved. Data integration encourages collaboration between internal as well as external users. The data being integrated must be received from a heterogeneous database system and transformed to a single coherent data store that provides synchronous data across a network of files for clients. A common use of data integration is in data mining when analyzing and extracting information from existing databases that can be useful for Business information.
Héctor García-Molina was a Mexican-American computer scientist and Professor in the Departments of Computer Science and Electrical Engineering at Stanford University. He was advisor to Sergey Brin, the founder of Google, from 1993 to 1997 when he was a computer science student at Stanford.
The terms schema matching and mapping are often used interchangeably for a database process. For this article, we differentiate the two as follows: Schema matching is the process of identifying that two objects are semantically related while mapping refers to the transformations between the objects. For example, in the two schemas DB1.Student and DB2.Grad-Student ; possible matches would be: DB1.Student ≈ DB2.Grad-Student; DB1.SSN = DB2.ID etc. and possible transformations or mappings would be: DB1.Marks to DB2.Grades.
Amit Sheth is a computer scientist at University of South Carolina in Columbia, South Carolina. He is the founding Director of the Artificial Intelligence Institute, and a Professor of Computer Science and Engineering. From 2007 to June 2019, he was the Lexis Nexis Ohio Eminent Scholar, director of the Ohio Center of Excellence in Knowledge-enabled Computing, and a Professor of Computer Science at Wright State University. Sheth's work has been cited by over 48,800 publications. He has an h-index of 106, which puts him among the top 100 computer scientists with the highest h-index. Prior to founding the Kno.e.sis Center, he served as the director of the Large Scale Distributed Information Systems Lab at the University of Georgia in Athens, Georgia.
Alon Yitzchack Halevy is an Israeli-American computer scientist and a leading researcher in the area of data integration. He was a research scientist at Google from 2005 to 2015, when he left to become head of Recruit Institute of Technology. He left Recruit in 2018 and joined Facebook AI in 2019. Until 2006, he was a professor of computer science at the University of Washington. He received his PhD from Stanford University in 1993.
Elisa Bertino is a professor of computer science at Purdue University and is acting as the research director of CERIAS, the Center for Education and Research in Information Assurance and Security, an institute attached to Purdue University. Bertino's research interest include data privacy and computer security.
Michael Ralph Stonebraker is a computer scientist specializing in database systems. Through a series of academic prototypes and commercial startups, Stonebraker's research and products are central to many relational databases. He is also the founder of many database companies, including Ingres Corporation, Illustra, Paradigm4, StreamBase Systems, Tamr, Vertica and VoltDB, and served as chief technical officer of Informix. For his contributions to database research, Stonebraker received the 2014 Turing Award, often described as "the Nobel Prize for computing."
Dataspaces are an abstraction in data management that aim to overcome some of the problems encountered in data integration system. The aim is to reduce the effort required to set up a data integration system by relying on existing matching and mapping generation techniques, and to improve the system in "pay-as-you-go" fashion as it is used. Labor-intensive aspects of data integration are postponed until they are absolutely needed.
Jayant R. Haritsa is an Indian computer scientist and professor. He is on the faculty of the CDS and CSA departments at Indian Institute of Science, Bangalore, India. He works on the design and analysis of Database Systems. In 2009 he won the Shanti Swarup Bhatnagar Prize sponsored by CSIR, India. In 2014 he won the Infosys Prize for Engineering.
Philip Alan Bernstein is a computer scientist specializing in database research in the Database Group of Microsoft Research. Bernstein is also an affiliate professor at the University of Washington and frequent committee member or chair of conferences such as VLDB and SIGMOD. He won the SIGMOD Edgar F. Codd Innovations Award in 1994, and in 2011 with Jayant Madhavan and Erhard Rahm the VLDB 10 Year Best Paper Award for their VLDB 2001 paper "Generic Schema Matching with Cupid".
Ramakrishnan Srikant is a Google Fellow at Google.
Wenfei Fan is a Chinese-British computer scientist and professor of web data management at the University of Edinburgh. His research investigates database theory and database systems.
Shojiro Nishio is a Japanese information scientist and technology scholar and the 18th president of Osaka University. Having co-authored or co-edited more than 55 books and more than 650 refereed journal or conference papers as well as serving on editorial boards of major information sciences journals, Nishio is considered one of the most prominent and influential researchers on database systems and networks.
Peter Boncz is a Dutch computer scientist specializing in database systems. He is a researcher at the Centrum Wiskunde & Informatica and professor at the Vrije Universiteit Amsterdam in the special chair of Large-Scale Analytical Data Management.
Gautam Das is a computer scientist in the field of databases research. He is an ACM Fellow and IEEE Fellow.
Bin Yang is a professor of computer science the department of computer science, Aalborg University. His research interests include data management and machine learning.
Volker Markl is a German computer scientist and database systems researcher.
Alfons Kemper is a German computer scientist and a full professor for database systems at the Technical University of Munich.
Thomas Neumann is a German computer scientist and full professor for Data Science and Engineering at the Technical University of Munich (TUM).
