The Web of Data is built upon two simple ideas: Employ the RDF data model to publish structured data on the Web and to set explicit RDF links between entities within different data sources. This paper presents the Silk – Link Discovery Framework, a tool for finding relationships between entities within different data sources. Data publishers can use Silk to set RDF links from their data sources...

Analyses of dynamic Linked Data are inherently dependent on changes in RDF graphs (logical level) and what happens on the HTTP and networking level (physical level). However, these dependencies have been reflected in previous works only to a limited extent, which may lead to inaccurate conclusions about the dynamics of the data. To overcome this limitation, we tackle the problem of modelling dy...

The Semantic Web provides technologies such as the Resource Description Framework (RDF) for representing data on the web. The number of data sets published in RDF is growing rapidly. To connect a variety of data across RDF data sets, they should be interlinked. However, resources can be described in different natural languages. Such publishers as the French National Library [1], the Spanish Nat...

Ontologies are often used to improve data access. For this purpose, existing data has to be linked to an ontology and appropriate access mechanisms have to be provided. In this chapter, we review RDF storage and retrieval technologies as a common approach for accessing ontology-based data. We discuss different storage models, typical functionalities of RDF middleware such as data model support ...

RDF is considered to be an important data model for Semantic Web as a labeled directed graph. Querying in massive RDF graph data is known to be hard. In order to reduce the data size, we present ASSG, an Adaptive Structural Summary for RDF Graph data by bisimulations between nodes. ASSG compresses only the part of the graph related to queries. Thus ASSG contains less nodes and edges than existi...

Reasoning on a Web scale becomes increasingly challenging because of the large volume of data involved and the complexity of the task by means of ontology mapping. Here, an IDIM concept is used to deal with largescale incremental RDF datasets. Resource Description Framework (RDF) is an important data, presenting standard of the semantic web to process the increasing RDF data. Map Reduce is a wi...

RDF Graphs are sets of assertions in the form of subjectpredicate-object triples of information resources. Although for simple examples they can be understood intuitively as directed labeled graphs, this representation does not scale well for more complex cases, particularly regarding the central notion of connectivity of resources. We argue in this paper that there is need for an intermediate ...

Experimental determinations of the dynamics of photoinduced electron transfer from rubrene to duroquinone in three solvents, dibutyl phthalate, diethyl sebacate, and cyclohexanone are presented. Measurements of the donor (rubrene) fluorescence decays were made with time-correlated single-photon counting. The data are analyzed using recent theoretical developments that include important features...

In this paper, we present a multi-temporal RDF database model employing triple timestamping with temporal elements, which best preserves in the multi-temporal setting the scalability property enjoyed by triple storage technologies. The data model is equipped with manipulation operations which allow knowledge engineers to maintain a multi-temporal RDF database in order to manage temporal version...