In order to create the most comprehensive RDF Knowledge Base possible, data integration is essential. Many different data sources are used to extend a given dataset or to correct errors in the data. Nowadays, Web APIs (instead of data dumps) are common ...

Semantic web has recently gained a great attention due to its potential for providing a common framework that allows data sharing and reprocessed, relational databases are still the most used. To deal with the variety of modern database formats and query ...

We propose a schema matching method of transport service data in different schema from multiple data sources. Nowadays, open data about transport services are increasing. However, there are some challenges to use them, because they have ...

As data volume and variety have increased, so have the ties between machine learning and data integration become stronger. For machine learning to be effective, one must utilize data from the greatest possible variety of sources; and this is why data ...

One of the main challenges in large-scale data integration for relational schemas is creating an accurate mediated schema, and generating accurate semantic mappings between heterogeneous data sources and this mediated schema. Some applications can start ...

Abstract The proliferation of online digital libraries offers users a great opportunity to search their desired literatures on Web. Cross-library search applications can help users search more literature information from multiple digital libraries. ...

Crowdsourcing has been widely adopted in research and practice over the last decade. In this work, we first investigate the extent to which crowd workers can substitute expert-based judgments in the task of link prediction and schema mapping, which is ...

Many data providers make their data available through Web service APIs. In order to unleash the potential of these sources for intelligent applications, the data has to be combined across different APIs. However, due to the heterogeneity of schemas, the ...

In this work, we present the implementation of a novel Agent-based Modelling and Simulation approach for the Schema Matching problem called "Schema Matching Agent-based Simulation" (SMAS). Our solution aims at generating high quality schema matchings ...

In the traditional data exchange setting, source instances are restricted to be complete in the sense that every fact is either true or false in these instances. Although natural for a typical database translation scenario, this restriction is gradually ...

Extending analytical decision making beyond the boundaries of a single organization is a key challenge of modern Business Intelligence systems. Federated Data Warehouses (FDWs) are an important cornerstone to this end, offering new opportunities for ...

The profusion of unstructured data forced organizations to manage and take advantage of such data especially in the decision making process. The feasibility of integrating or mapping unstructured data to a data warehouse is becoming significant to ...

Data integration systems typically make use of mappings to capture the relationships between the data resources to be integrated and the integrated representations presented to users. Manual development and maintenance of such mappings is time consuming ...

This paper proposes SCHEMA, an algorithm for automated mapping between heterogeneous product taxonomies in the e-commerce domain. SCHEMA utilises word sense disambiguation techniques, based on the ideas from the algorithm proposed by Lesk, in ...

End-users increasingly find the need to perform light-weight, customized schema mapping. State-of-the-art tools provide powerful functions to generate schema mappings, but they usually require an in-depth understanding of the semantics of multiple ...

The notion of representation systems describes structures that are algebraically closed under queries. It has recently been realized that representation systems are highly relevant also in the context of data exchange. We extend the notion of ...

Today, more than ever, enterprises are relying on highly complex IT solutions to respond flexibly and rapidly to the constant changing business environment. Yet, the increasing complexity of IT solutions presents significant challenges. In this paper, ...

As organizations grow, decision support systems face a surging demand for information; information that must be integrated into the corporate data warehouse. Incremental integration allows for a gradual evolution of data warehouse schemas.

Heterogeneous ...

Sharing and integrating information across multiple autonomous and heterogeneous data sources has emerged as a strategic requirement in modern business. We deal with this problem by proposing a declarative approach based on the creation of a reference ...