Entity Identification in Database Integration Export

@inproceedings{citeulike:6080999, abstract = {The objective of entity identification is to determine the correspondence between object instances from more than one database. This paper examines the problem at the instance level assuming that schema level heterogeneity has been resolved a priori. Soundness and completeness are defined as the desired properties of any entity identification technique. To achieve soundness, a set of identity and distinctness rules are established for entities in the integrated world. We propose the use of extended key, which is the union of keys (and possibly other attributes) from the relations to be matched, and its corresponding identity rule, to determine the equivalence between tuples from relations which may not share any common key. Instance level functional dependencies (ILFD), a form of semantic constraint information about the real-world entities, are used to derive the missing extended key attribute values of a tuple. 1 Introduction Database integration is the problem of taking two (or mor...}, author = {Lim, Ee-Peng and Prabhakar, Satya and Srivastava, Jaideep and Richardson, James}, booktitle = {in Proceedings Ninth International Conference on Data Engineering}, citeulike-article-id = {6080999}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.47.5258}, keywords = {datamatching, dataquality}, pages = {294--301}, posted-at = {2009-11-06 14:40:21}, priority = {2}, title = {Entity Identification in Database Integration}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.47.5258}, year = {1993} }

TY - CONF ID - citeulike:6080999 L3 - citeulike-article-id:6080999 N2 - The objective of entity identification is to determine the correspondence between object instances from more than one database. This paper examines the problem at the instance level assuming that schema level heterogeneity has been resolved a priori. Soundness and completeness are defined as the desired properties of any entity identification technique. To achieve soundness, a set of identity and distinctness rules are established for entities in the integrated world. We propose the use of extended key, which is the union of keys (and possibly other attributes) from the relations to be matched, and its corresponding identity rule, to determine the equivalence between tuples from relations which may not share any common key. Instance level functional dependencies (ILFD), a form of semantic constraint information about the real-world entities, are used to derive the missing extended key attribute values of a tuple. 1 Introduction Database integration is the problem of taking two (or mor... EP - 301 TI - Entity Identification in Database Integration T2 - in Proceedings Ninth International Conference on Data Engineering SP - 294 KW - datamatching KW - dataquality AU - Lim, Ee-Peng AU - Prabhakar, Satya AU - Srivastava, Jaideep AU - Richardson, James PY - 1993/// UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.47.5258 ER -