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Resource Description Framework (RDF) is the core technology of Semantic Web and has been more and more popular in recent years. With the rapid growth of the RDF data, the TripleStore, which is the query engine and RDF data storage, requires more scalable and efficient technologies. To improve the scalability and the performance of triple query, which is called SPARQL query processing, MapReduce programming...
We provide an overview of the current data management research issues in the context of the Semantic Web. The objective is to introduce the audience into the area of the Semantic Web, and to highlight the fact that the area provides many interesting research opportunities for the data management community. A new model, the Resource Description Framework (RDF), coupled with a new query language, called...
We find that software frameworks for digital content management and access may be used for capturing certain data provenance information, particularly for data that has already been created and archived at a repository center. One of the key enabling factors is the abstraction concept of a digital object augmented with semantic relationships. One set of frameworks, Fedora Repository and Drupal CMS...
A set of lifelogs is a dataset that describes a person's life. A high quality and large set of lifelogs is expected to be useful for many applications. Only by integrating the logs that are already available from various devices and creating semantic relationships among them, we can build a useful lifelog ontology that can support various applications. In this paper, we propose Entity-Event Lifelog...
We formulate a novel problem of summarising entities with limited presentation budget on entity-relationship knowledge graphs and propose an efficient algorithm for solving this problem. The algorithm has been implemented together with a visualising tool. Experimental user evaluation of the algorithm was conducted on real large semantic knowledge graphs extracted from the web. The reported results...
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