Matches in ScholarlyData for { ?s ?p ?o. }
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- item-4 hasContent karl-aberer.
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- item-5 hasContent hermann-de-meer.
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- 61 type InProceedings.
- 61 label "OpenRuleBench: An Analysis of the Performance of Rule Engines".
- 61 sameAs 61.
- 61 abstract "The Semantic Web initiative has led to an upsurge of the interest in rules as a general and powerful way of processing, combining, and analyzing semantic information. Since several of the technologies underlying rule-based systems are already quite mature, it is important to understand how such systems might perform on the Web scale. OpenRuleBench is a suite of benchmarks for analyzing the performance and scalability of different rule engines. Currently the study spans five different technologies and eleven systems, but OpenRuleBench is an open community resource, and contributions from the community are welcome. In this paper, we describe the tested systems and technologies, the methodology used in testing, and analyze the results.".
- 61 hasAuthorList authorList.
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- 61 keyword "Semantic/Data Web".
- 61 title "OpenRuleBench: An Analysis of the Performance of Rule Engines".
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- item-1 hasContent senlin-liang.
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- item-2 hasContent paul-fodor.
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- item-3 hasContent hui-wan.
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- item-4 hasContent michael-kifer.
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- 62 type InProceedings.
- 62 label "Large Scale Integration of Senses for the Semantic Web".
- 62 sameAs 62.
- 62 abstract "Nowadays, the increasing amount of semantic data available on the Web leads to a new stage in the potential of Semantic Web applications. However, it also introduces new issues due to the heterogeneity of the available semantic resources. One of the most remarkable is redundancy, that is, the excess of different semantic descriptions, coming from different sources, to describe the same intended meaning. In this paper, we propose a technique to perform a large scale integration of senses (expressed as ontology terms), in order to cluster the most similar ones, when indexing large amounts of online semantic information. It can dramatically reduce the redundancy problem on the current Semantic Web. In order to make this objective feasible, we have studied the adaptability and scalability of our previous work on sense integration, to be translated to the much larger scenario of the Semantic Web. Our evaluation shows a good behaviour of these techniques when used in large scale experiments, then making feasible the proposed approach.".
- 62 hasAuthorList authorList.
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- 62 keyword "Semantic/Data Web".
- 62 title "Large Scale Integration of Senses for the Semantic Web".
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- item-1 hasContent jorge-gracia.
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- item-2 hasContent mathieu-daquin.
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- item-3 hasContent eduardo-mena.
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- 63 type InProceedings.
- 63 label "Triplify Light-Weight Linked Data Publication from Relational Databases".
- 63 sameAs 63.
- 63 abstract "In this paper we present Triplify – a simplistic but effective approach to publish Linked Data from relational databases. Triplify is based on mapping HTTP-URI requests onto relational database queries. Triplify transforms the resulting relations into RDF statements and publishes the data on the Web in various RDF serializations, in particular as Linked Data. The rationale for developing Triplify is that the largest part of information on the Web is already stored in structured form, often as data contained in relational databases, but usually published by Web applications only as HTML mixing structure, layout and content. In order to reveal the pure structured information behind the current Web, we have implemented Triplify as a light-weight software component, which can be easily integrated into and deployed by the numerous, widely installed Web applications. Our approach includes a method for publishing update logs to enable incremental crawling of linked data sources. Triplify is complemented by a library of configurations for common relational schemata and a REST-enabled data source registry. Triplify configurations containing mappings are provided for many popular Web applications, including osCommerce, WordPress, Drupal, Gallery, and phpBB. We will show that despite its light-weight architecture Triplify is usable to publish very large datasets, such as 160GB of geo data from the OpenStreetMap project.".
- 63 hasAuthorList authorList.
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- 63 keyword "Semantic/Data Web".
- 63 title "Triplify Light-Weight Linked Data Publication from Relational Databases".
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- item-1 hasContent soeren-auer.
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- item-2 hasContent sebastian-dietzold.
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- item-3 hasContent jens-lehmann.
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- item-4 hasContent sebastian-hellmann.
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- item-5 hasContent david-aumueller.
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- 64 type InProceedings.
- 64 label "SOFIE: A Self-Organizing Framework for Information Extraction".
- 64 sameAs 64.
- 64 abstract "This paper presents SOFIE, a system for automated on- tology extension. SOFIE can parse natural language docu- ments, extract ontological facts from them and link the facts into an ontology. SOFIE uses logical reasoning on the exist- ing knowledge and on the new knowledge in order to disam- biguate words to their most probable meaning, to reason on the meaning of text patterns and to take into account world knowledge axioms. This allows SOFIE to check the plau- sibility of hypotheses and to avoid inconsistencies with the ontology. The framework of SOFIE unites the paradigms of pattern matching, word sense disambiguation and ontolog- ical reasoning in one unified model. Our experiments show that SOFIE delivers high-quality output, even from unstruc- tured Internet documents.".
- 64 hasAuthorList authorList.