an improved semantic schema matching approach

نویسندگان

zahra sheikhnajdy

mehran mohsenzadeh

mashalah abbasi dezfuli

چکیده

schema matching is a critical step in many applications, such as data warehouse loading, online analytical process (olap), data mining, semantic web [2] and schema integration. this task is defined for finding the semantic correspondences between elements of two schemas. recently, schema matching has found considerable interest in both research and practice. in this paper, we present a new improved solution for schema matching problem. an improvement hybrid semantic schema matching algorithm which semi automatically finds matching between two data representation schemas is introduced. the algorithm finds mappings based on the hierarchical organization of the elements of a term wordnet dictionary.

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عنوان ژورنال:
journal of advances in computer engineering and technology

ناشر: science and research branch,islamic azad university

ISSN 2423-4192

دوره 1

شماره 1 2015

میزبانی شده توسط پلتفرم ابری doprax.com

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