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Triplesets: Tagging and Grouping in RDF Datasets

by Atanas Kiryakov, Vassil Momtchev
"... The need to augment the standard triple-based RDF data model towards quadruples is widely recognized. The most popular of such extensions is the notion of named graphs (NG). One prominent use of NG is related to management of datasets, integrating information from multiple sources. Technically, this ..."
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The need to augment the standard triple-based RDF data model towards quadruples is widely recognized. The most popular of such extensions is the notion of named graphs (NG). One prominent use of NG is related to management of datasets, integrating information from multiple sources. Technically

Finding spatial equivalences across multiple RDF datasets

by Juan Martín Salas, Andreas Harth
"... Abstract. The importance of geospatial information is being reflected on the growing amount of spatial datasets on the Semantic Web. However, the high variability of the data presents challenges for integration. In this paper, we address the problem of finding spatial equivalences between geospatial ..."
Abstract - Cited by 2 (1 self) - Add to MetaCart
geospatial RDF datasets. First, we present mappings between our NeoGeo vocabulary and the vocabularies used by some well-known spatial RDF datasets. Second, we describe a method to find spatially co-located features across spatial RDF datasets. To find equivalences, we rely on analyzing the Hausdorff

On Designing Archiving Policies for Evolving RDF Datasets on the Web

by Kostas Stefanidis, Ioannis Chrysakis, Giorgos Flouris
"... Abstract. When dealing with dynamically evolving datasets, users are often interested in the state of affairs on previous versions of the dataset, and would like to execute queries on such previous versions, as well as queries that compare the state of affairs across different versions. This is espe ..."
Abstract - Cited by 3 (3 self) - Add to MetaCart
requirements; an alternative solution is to store adequate deltas between versions, which are generally smaller, but this would create the overhead of generating versions at query time. This paper studies the trade-offs involved in these approaches, in the context of archiving dy-namic RDF datasets over

Full Syntactic Parsing for Enrichment of RDF dataset

by Michel Gagnon, Caroline Barrière, Eric Charton
"... Abstract. RDF data extracted automatically often contain long textual literals. This paper shows how to use natural language processing techniques to automatically generate specific RDF triples from the information in the literals. We look specifically at drug indications found in the DailyMed datas ..."
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Abstract. RDF data extracted automatically often contain long textual literals. This paper shows how to use natural language processing techniques to automatically generate specific RDF triples from the information in the literals. We look specifically at drug indications found in the Daily

Scale-Out Processing of Large RDF Datasets

by Long Cheng, Spyros Kotoulas - IEEE TRANSACTIONS ON BIG DATA , 2015
"... Distributed RDF data management systems become increasingly important with the growth of the Semantic Web. Regardless, current methods meet performance bottlenecks either on data loading or querying when processing large amounts of data. In this work, we propose efficient methods for processing RDF ..."
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RDF using dynamic data re-partitioning to enable rapid analysis of large datasets. Our approach adopts a two-tier index architecture on each computation node: (1) a lightweight primary index, to keep loading times low, and (2) a series of dynamic, multi-level secondary indexes, calculated as a by

Evaluating SPARQL queries on massive RDF datasets

by Razen Harbi , Ibrahim Abdelaziz , Panos Kalnis , Nikos Mamoulis - Proc. VLDB Endowment , 2015
"... ABSTRACT Distributed RDF systems partition data across multiple computer nodes. Partitioning is typically based on heuristics that minimize inter-node communication and it is performed in an initial, data pre-processing phase. Therefore, the resulting partitions are static and do not adapt to chang ..."
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ABSTRACT Distributed RDF systems partition data across multiple computer nodes. Partitioning is typically based on heuristics that minimize inter-node communication and it is performed in an initial, data pre-processing phase. Therefore, the resulting partitions are static and do not adapt

for Life-science Databases by intelligent schema analysis on RDF datasets

by Norio Kobayashi, Kai Lenz, Hongyan Wu, Kouji Kozaki
"... Abstract. Metadata publication in accordance with the semantic web as a database is a trend for providing and integrating various life-science data. These metadata are published as SPARQL endpoints, a standard-ised API for RDF datasets. As life-science data are very widely diverse and described usin ..."
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Abstract. Metadata publication in accordance with the semantic web as a database is a trend for providing and integrating various life-science data. These metadata are published as SPARQL endpoints, a standard-ised API for RDF datasets. As life-science data are very widely diverse and described

Aether – Generating and Viewing Extended VoID Statistical Descriptions of RDF Datasets

by Eetu Mäkelä
"... Abstract. This paper presents the Aether web application for generating, viewing and comparing extended VoID statistical descriptions of RDF datasets. The tool is useful for example in getting to know a newly encountered dataset, in comparing datasets between versions and in detecting outliers and e ..."
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Abstract. This paper presents the Aether web application for generating, viewing and comparing extended VoID statistical descriptions of RDF datasets. The tool is useful for example in getting to know a newly encountered dataset, in comparing datasets between versions and in detecting outliers

HDT-it: Storing, Sharing and Visualizing Huge RDF Datasets.

by Mario Arias Gallego, Javier D. Fernández, Miguel A. Martínez-prieto, Claudio Gutierrez
"... Abstract. Huge RDF Datasets are currently being published in the Linked-Open-Data cloud. Appropriate data structures are required to address scalability and performance issues when storing, sharing and querying these datasets. HDT (Header, Dictionary, Triples) is a binary format that represents RDF ..."
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Abstract. Huge RDF Datasets are currently being published in the Linked-Open-Data cloud. Appropriate data structures are required to address scalability and performance issues when storing, sharing and querying these datasets. HDT (Header, Dictionary, Triples) is a binary format that represents RDF

A Flexible Framework for Understanding the Dynamics of Evolving RDF Datasets

by Yannis Roussakis, Ioannis Chrysakis, Kostas Stefanidis, Giorgos Flouris, Yannis Stavrakas
"... Abstract. The dynamic nature of Web data gives rise to a multitude of problems related to the description and analysis of the evolution of RDF datasets, which are important to a large number of users and domains, such as, the curators of biological information where changes are constant and interrel ..."
Abstract - Cited by 3 (1 self) - Add to MetaCart
Abstract. The dynamic nature of Web data gives rise to a multitude of problems related to the description and analysis of the evolution of RDF datasets, which are important to a large number of users and domains, such as, the curators of biological information where changes are constant
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