Uncertain Schema Matching
ثبت نشده
چکیده
Additional
منابع مشابه
An Improved Semantic Schema Matching Approach
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 impr...
متن کاملON THE MATCHING NUMBER OF AN UNCERTAIN GRAPH
Uncertain graphs are employed to describe graph models with indeterministicinformation that produced by human beings. This paper aims to study themaximum matching problem in uncertain graphs.The number of edges of a maximum matching in a graph is called matching numberof the graph. Due to the existence of uncertain edges, the matching number of an uncertain graph is essentially an uncertain var...
متن کاملOn Leveraging Crowdsourcing Techniques for Schema Matching Networks
As the number of publicly-available datasets are likely to grow, the demand of establishing the links between these datasets is also getting higher and higher. For creating such links we need to match their schemas. Moreover, for using these datasets in meaningful ways, one often needs to match not only two, but several schemas. This matching process establishes a (potentially large) set of att...
متن کاملReconciling Schema Matching Networks
Schema matching is the process of establishing correspondences between the attributes of schemas, for the purpose of data integration. Schema matching is often performed in a pair-wise setting, in which two given schemas are matched again each other by automatic tools. In this thesis, we instead approach the schema matching problem in a network setting, in which the two schemas to be matched do...
متن کاملsPLMap: A Probabilistic Approach to Schema Matching
This paper introduces the first formal framework for learning mappings between heterogeneous schemas which is based on logics and probability theory. This task, also called “schema matching”, is a crucial step in integrating heterogeneous collections. As schemas may have different granularities, and as schema attributes do not always match precisely, a general-purpose schema mapping approach re...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2015