Automation of Scenario-Based Schema Matcher Optimization
نویسندگان
چکیده
منابع مشابه
DYMS (Dynamic Matcher Selector) - Scenario-based Schema Matcher Selector
Schema matching is one of the main challenges in different information system integration contexts. Over the past 20 years, different schema matching methods have been proposed and shown to be successful in various situations. Although numerous advanced matching algorithms have emerged, schema matching research remains a critical issue. Different algorithms are implemented to resolve different ...
متن کاملA framework for schema matcher composition
Enterprise schemas tend to be different, which is the key issue when the seamless communication between systems is of utmost importance. One solution could be the development of standards which then could be enforced, however, vendors seem to be reluctant to comply with them and communication between existing and legacy systems still remains unsolved. Other solution could be schema matching, wh...
متن کاملMatcher Composition Methods for Automatic Schema Matching
We address the problem of automating the process of deciding whether two data schema elements match (that is, refer to the same actual object or concept), and propose several methods for combining evidence computed by multiple basic matchers. One class of methods uses Bayesian networks to account for the conditional dependency between the similarity values produced by individual matchers that u...
متن کاملManaging Uncertainty in Schema Matcher Ensembles
Schema matching is the task of matching between concepts describing the meaning of data in various heterogeneous, distributed data sources. With many heuristics to choose from, several tools have enabled the use of schema matcher ensembles, combining principles by which different schema matchers judge the similarity between concepts. In this work, we investigate means of estimating the uncertai...
متن کاملAn unsupervised instance matcher for schema-free RDF data
This article presents an unsupervised system that performs instance matching between entities in schema-free Resource Description Framework (RDF) files. Rather than relying on domain expertise or manually labeled samples, the system automatically generates its own heuristic training set. The training sets are first used by the system to align the properties in the input graphs. The property ali...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Acta Electrotechnica et Informatica
سال: 2016
ISSN: 1335-8243,1338-3957
DOI: 10.15546/aeei-2016-0001