A Database Perspective on Consuming Linked Data on the Web

Hartig, Olaf; Langegger, Andreas

doi:10.1007/s13222-010-0021-7

Cited by 44 publications

(26 citation statements)

References 21 publications

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“…The term "Linked Data" refers to a set of best practices for publishing and connecting structured data on the web [8]. Berners-Lee [9] outlined four basic rules for publishing Linked Open Data (LOD) on the web.…”

Section: A Linked Data Conceptualmentioning

confidence: 99%

Using the Heterogeneous Database and Linked Data Technologies with Case Study of Thai Local Government Planning Database

Boonlamp¹

2015

IJMO

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Abstract-These paper di scuss about the comparison between two technologies for dealing with enormous quantities of data from relational database. The two technologies that were compared are heterogeneous database and linked data technologies by analyzing the government information. The experiments were done based on government project planning data. The results expressed that the advantages of linked data are to retrieve and relate data while consuming them. It is better to handling with text data than heterogeneous technology. However, visualizing and analyzing data heterogeneous database can do better than linked data where it is a challenge feature to be developed for linked data technology.Index Terms-Linked data, heterogeneous database, semantic search.

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Section: A Linked Data Conceptualmentioning

confidence: 99%

Using the Heterogeneous Database and Linked Data Technologies with Case Study of Thai Local Government Planning Database

Boonlamp¹

2015

IJMO

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“…Federated SPARQL query processing is receiving more attention lately and a number of specific approaches have already been published, e. g. [30,23,11,25,12,15,13,29,9]. Stuckenschmidt et al [30] employ indices for matching path patterns in queries while Harth et al [11] use a (compressed) index of subjects, predicates, and objects in order to match queries to sources.…”

Section: Related Workmentioning

confidence: 99%

SPLODGE: Systematic Generation of SPARQL Benchmark Queries for Linked Open Data

Görlitz

Thimm

Staab

2012

The Semantic Web – ISWC 2012

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Abstract. The distributed and heterogeneous nature of Linked Open Data requires flexible and federated techniques for query evaluation. In order to evaluate current federation querying approaches a general methodology for conducting benchmarks is mandatory. In this paper, we present a classification methodology for federated SPARQL queries. This methodology can be used by developers of federated querying approaches to compose a set of test benchmarks that cover diverse characteristics of different queries and allows for comparability. We further develop a heuristic called SPLODGE for automatic generation of benchmark queries that is based on this methodology and takes into account the number of sources to be queried and several complexity parameters. We evaluate the adequacy of our methodology and the query generation strategy by applying them on the 2011 billion triple challenge data set.

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“…In addition to the automatically generated mappings, we use the existing mappings used in [4] and those already available on the web. 13,14 Our system is designed with pluggable architecture and hence can use output from any Alignment System that provides mappings in the Alignment API's Alignment format [6].…”

Section: Our Approachmentioning

confidence: 99%

“…However, there is existing work on query federation which assumes that the user intimately knows concepts and datasets beforehand [27,13,18,29]. [14] discusses a database perspective for querying Linked Data on the web including query federation, while [29] investigates optimizing techniques for federated query processing on Linked Data. ALOQUS also uses federation techniques to query distributed datasets once the sub-queries are generated.…”

Section: Related Workmentioning

confidence: 99%

Alignment-Based Querying of Linked Open Data

Joshi

Jain

Hitzler

et al. 2012

Lecture Notes in Computer Science

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Abstract. The Linked Open Data (LOD) cloud is rapidly becoming the largest interconnected source of structured data on diverse domains. The potential of the LOD cloud is enormous, ranging from solving challenging AI issues such as open domain question answering to automated knowledge discovery. However, due to an inherent distributed nature of LOD and a growing number of ontologies and vocabularies used in LOD datasets, querying over multiple datasets and retrieving LOD data remains a challenging task. In this paper, we propose a novel approach to querying linked data by using alignments for processing queries whose constituent data come from heterogeneous sources. We also report on our Alignment based Linked Open Data Querying System (ALOQUS) and present the architecture and associated methods. Using the state of the art alignment system BLOOMS, ALOQUS automatically maps concepts in users' SPARQL queries, written in terms of a conceptual upper ontology or domain specific ontology, to different LOD concepts and datasets. It then creates a query plan, sends sub-queries to the different endpoints, crawls for co-referent URIs, merges the results and presents them to the user. We also compare the existing querying systems and demonstrate the added capabilities that the alignment based approach can provide for querying the Linked data.

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A Database Perspective on Consuming Linked Data on the Web

Cited by 44 publications

References 21 publications

Using the Heterogeneous Database and Linked Data Technologies with Case Study of Thai Local Government Planning Database

Using the Heterogeneous Database and Linked Data Technologies with Case Study of Thai Local Government Planning Database

SPLODGE: Systematic Generation of SPARQL Benchmark Queries for Linked Open Data

Alignment-Based Querying of Linked Open Data

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