Improving quality and performance of schema matching in large scale
نویسندگان
چکیده
منابع مشابه
Improving quality and performance of schema matching in large scale
Schema matching is a crucial task to gather information of the same domain. However, this process is still largely performed manually or semi-automatically, discouraging the deployment of large-scale mediation systems. Indeed, these large-scale scenarii need a solution which ensures both an acceptable matching quality and good performance. In this article, we present the BMatch approach to effi...
متن کاملTowards Large-Scale Schema and Ontology Matching
The purely manual specification of semantic correspondences between schemas is almost infeasible for very large schemas or when many different schemas have to be matched. Hence, solving such large-scale match tasks asks for automatic or semi-automatic schema matching approaches. Large-scale matching needs especially be supported for XML schemas and different kinds of ontologies due to their inc...
متن کاملBMatch: A Quality/Performance Balanced Approach for Large Scale Schema Matching
Schema matching is a crucial task to gather information of the same domain. This is even more the case when dealing with data warehouses, where a large number of data sources are available and require matching and integration. However, the matching process is still largely performed manually or semiautomatically, thus discouraging the use of large scale integration systems. Indeed, these large ...
متن کاملLarge-scale Semantic Parsing via Schema Matching and Lexicon Extension
Supervised training procedures for semantic parsers produce high-quality semantic parsers, but they have difficulty scaling to large databases because of the sheer number of logical constants for which they must see labeled training data. We present a technique for developing semantic parsers for large databases based on a reduction to standard supervised training algorithms, schema matching, a...
متن کاملNew Challenges in Data Integration: Large Scale Automatic Schema Matching
Today schema matching is a basic problem in almost every data intensive distributed application, namely enterprise information integration, collaborating web services, ontology based agents communication, web catalogue integration and schema based P2P database systems. There has been a plethora of algorithms and techniques researched in schema matching and integration for data interoperability....
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: Ingénierie des systèmes d'information
سال: 2008
ISSN: 1633-1311
DOI: 10.3166/isi.13.5.59-82