Schema matching is a critical step in many applications, such as XML message mapping, data warehouse loading, and schema integration. In this paper, we investigate algorithms for generic schema matching, outside of any particular data model or application. We first present a taxonomy for past solutions, showing that a rich range of techniques is available. We then propose a new algorithm, Cupid...

Schema Matching is a method of finding attributes that are either similar to each other linguistically or represent the same information. In this project, we take a hybrid approach at solving this problem by making use of both the provided data and the schema name to perform one to one schema matching and introduce creation of a global dictionary to achieve one to many schema matching. We exper...

Schema matching is the task of automatically computing correspondences between schema elements. A multitude of schema matching approaches exists for various scenarios using syntactic, semantic, or instance information. The schema matching problem is aggravated by the fact that models to be matched are often represented in different modeling languages, e.g. OWL, XML Schema, or SQL DDL. Consequen...

It is well known that a formal framework for the schema matching problem (SMP) is important because it facilitates the building of algorithm model and the evaluation of algorithms. An algebraic framework for schema matching is developed in this paper. First, based on universal algebra, we propose a meta-meta structure for schema, which is named multi-labeled schema. This definition has a distin...

Semantic matching finds certain types of semantic relationships among schema/data constructs. Examples include entity matching, linking, coreference resolution, schema/ontology text similarity, textual entailment, question answering, tagging, etc. has received much attention in the database, AI, KDD, Web, and Web communities. Recently, many works have also applied deep learning (DL) to matching...

Schema/ontology matching is a critical problem in many application domains, such as, semantic web, schema/ontology integration, data warehouses, e-commerce, catalog matching, etc. Many diverse solutions to the matching problem have been proposed so far. In this paper we present a taxonomy of schema-based matching techniques that builds on the previous work on classifying schema matching approac...

Schema matching is a basic problem nowadays in many application areas, such as data integration, data warehouse and e-business. In this paper, we propose a generic schema matching method called GSM (Generic Schema Matching) and its optimizing approaches. GSM provides an extensible library of match algorithms to support multi-strategy matching approach. It also uses a mapping knowledge base to l...

XML Schema is becoming an indispensable component in developing web applications. With its widespread adoption and its web accessibility, XML Schema reuse is becoming imperative. To support XML Schema reuse, the first step is to develop mechanism to search for relevant XML Schemas over the web. This paper describes a XML Schema matching system that compares two XML Schemas. Our matching system ...

Towards a Generic Approach for Schema Matcher Selection: Leveraging User Preand Post-match Effort for Improving Quality and Time Performance Interoperability between applications or bridges between data sources are required to allow optimal information exchanges. Yet, some processes needed to bring this integration cannot be fully automatized due to their complexity. One of these processes is c...