|Author||Zhou, Yinle ♦ Nelson, Eric ♦ Kobayashi, Fumiko ♦ Talburt, John R.|
|Source||ACM Digital Library|
|Publisher||Association for Computing Machinery (ACM)|
|Subject Domain (in DDC)||Computer science, information & general works ♦ Data processing & computer science|
|Subject Keyword||Entity resolution ♦ Corporate house-holding ♦ Data quality ♦ Graduate-level ER course ♦ Information quality ♦ Measurement ♦ Record linkage|
|Abstract||This article discusses the topics, approaches, and lessons learned in teaching a graduate-level course covering entity resolution (ER) and its relationship to information quality (IQ). The course surveys a broad spectrum of ER topics and activities including entity reference extraction, entity reference preparation, entity reference resolution techniques, entity identity management, and entity relationship analysis. The course content also attempts to balance aspects of ER theory with practical application through a series of laboratory exercises coordinated with the lecture topics. As an additional teaching aid, a configurable, open-source entity resolution engine (OYSTER) was developed that allows students to experience with different types of ER architectures including merge-purge, record linking, identity resolution, and identity capture.|
|Age Range||18 to 22 years ♦ above 22 year|
|Education Level||UG and PG|
|Learning Resource Type||Article|
|Publisher Place||New York|
|Journal||Journal of Data and Information Quality (JDIQ)|
Ministry of Human Resource Development (MHRD) under its National Mission on Education through Information and Communication Technology (NMEICT) has initiated the National Digital Library of India (NDLI) project to develop a framework of virtual repository of learning resources with a single-window search facility. Filtered and federated searching is employed to facilitate focused searching so that learners can find out the right resource with least effort and in minimum time. NDLI is designed to hold content of any language and provides interface support for leading vernacular languages, (currently Hindi, Bengali and several other languages are available). It is designed to provide support for all academic levels including researchers and life-long learners, all disciplines, all popular forms of access devices and differently-abled learners. It is being developed to help students to prepare for entrance and competitive examinations, to enable people to learn and prepare from best practices from all over the world and to facilitate researchers to perform inter-linked exploration from multiple sources. It is being developed at Indian Institute of Technology Kharagpur.
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