Provenance management has become increasingly important to support scientific discovery reproducibility, result interpretation, and problem diagnosis in scientific workflow environments. This paper proposes an approach to provenance management that seamlessly integrates the interoperability, extensibility, and reasoning advantages of Semantic Web technologies with the storage and querying power...

In order to effectively handle the growing amount of available RDF data, scalable and flexible RDF data processing frameworks are needed. While emerging technologies for Big Data, such as Hadoop-based systems that take advantages of scalable and fault-tolerant distributed processing, based on Google’s distributed file system and MapReduce parallel model, have become available, there are still m...

The process of transforming data stored in relational databases (RDBs) into sets of Resource Description Framework (RDF) triples is known as triplification or RDB2RDF. It consists of two consecutive operations, schema extraction and data conversion. Schema extraction is a process similar to creating an external schema, and contains a collection of database views. The data conversion is divided ...

INTRODUCTION This article is part of the Focus Theme of METHODS of Information in Medicine on "Managing Interoperability and Complexity in Health Systems". BACKGROUND The need for complementary access to multiple RDF databases has fostered new lines of research, but also entailed new challenges due to data representation disparities. While several approaches for RDF-based database integration...

Mukkai Krishnamoorthy Rensselaer Polytechnic Institute Department of Computer Science email [email protected] ABSTRACT The RDF Graph Modeling Language (RGML) is a W3C RDF vocabulary to describe graph structures, including semantic information associated with a graph. Viewing general graphs as Web resources, RGML defines graph, node, and edge as RDF classes and attributes of graphs (such as lab...

A general and flexible way to publish relational data in RDF format is to create RDF views of the underlying relational data. In this paper, we demonstrate a framework, based on rules, for the incremental maintenance of RDF views defined on top of relational data. We also demonstrate a tool that automatically generates, based on the mapping between the relational schema and a target ontology, t...

Article history: Received 12 October 2008 Received in revised form 8 March 2010 Accepted 11 March 2010 Available online 23 March 2010 Provenance metadata has become increasingly important to support scientific discovery reproducibility, result interpretation, and problem diagnosis in scientific workflow environments. The provenance management problem concerns the efficiency and effectiveness of...

The developers of StarDog OWL/RDF DBMS have pioneered a new use of OWL as a schema language for RDF databases. This is achieved by adding integrity constraints (IC), also expressed in OWL syntax, to the traditional “open-world” OWL axioms. The new database paradigm requires a suitable visual schema editor. We propose here a two-level approach for integrated visual UML-style editing of extended ...

Entity Resolution (ER) concerns identifying pairs of entities that refer to the same underlying entity. To avoid O(n) pairwise comparison of n entities, blocking methods are used. Sorted Neighborhood is an established blocking method for Relational Databases. It has not been applied to schema-free Resource Description Framework (RDF) data sources widely prevalent in the Linked Data ecosystem. T...

The Resource Description Framework (RDF) is a flexible model for representing information about resources in the web. With the increasing amount of RDF data which is becoming available, efficient and scalable management of RDF data has become a fundamental challenge to achieve the Semantic Web vision. We present a flexible and adaptable approach for achieving efficient and scalable management o...