Matches in ScholarlyData for { ?s ?p ?o. }
- 388 keyword "semantic web".
- 388 title "A Case Study of Linked Enterprise Data".
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- item-1 hasContent bo-hu.
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- item-2 hasContent glenn-svensson.
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- 397 creator basil-ell.
- 397 creator daniel-herzig.
- 397 type InProceedings.
- 397 label "Semantic MediaWiki in Operation: Experiences with Building a Semantic Portal".
- 397 sameAs 397.
- 397 abstract "Wikis allow users to collaboratively create and maintain content. Semantic wikis, which provide the additional means to annotate the content semantically and thereby allow to structure it, experience an enormous increase in popularity, because structured data is more usable and thus more valuable than unstructured data. As an illustration of leveraging the advantages of semantic wikis for semantic portals, we report on the experience with building the AIFB portal based on Semantic MediaWiki. We discuss the design, in particular how free, wiki-style semantic annotations and guided input along a predefined schema can be combined to create a flexible, extensible, and structured knowledge representation. How this structured data evolved over time and its flexibility regarding changes are subsequently discussed and illustrated by statistics based on actual operational data of the portal. Further, the features exploiting the structured data and the benefits they provide are presented. Since all benefits have its costs, we conducted a performance study of the Semantic MediaWiki and compare it to MediaWiki, the non- semantic base platform. Finally we show how existing caching techniques can be applied to increase the performance.".
- 397 hasAuthorList authorList.
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- 397 keyword "semantic web".
- 397 title "Semantic MediaWiki in Operation: Experiences with Building a Semantic Portal".
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- item-1 hasContent daniel-herzig.
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- item-2 hasContent basil-ell.
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- 401 creator andreas-eberhart.
- 401 creator michael-schmidt.
- 401 creator peter-haase.
- 401 creator tobias-mathass.
- 401 creator ulrich-walther.
- 401 type InProceedings.
- 401 label "Semantic Technologies for Enterprise Cloud Management".
- 401 sameAs 401.
- 401 abstract "Enterprise clouds apply the paradigm of cloud computing to enterprise IT infrastructures, with the goal of providing easy, flexible, and scalable access to both computing resources and IT services. Realizing the vision of the fully automated enterprise cloud involves addressing a range of technological challenges. In this paper, we focus on the challenges related to intelligent information management in enterprise clouds and discuss how semantic technologies can help to fulfill them. In particular, we address the topics of data integration, collaborative documentation and annotation and intelligent information access and analytics and present solutions that are implemented in the newest addition to our eCloudManager product suite: The Intelligence Edition.".
- 401 hasAuthorList authorList.
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- 401 keyword "semantic web".
- 401 title "Semantic Technologies for Enterprise Cloud Management".
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- item-1 hasContent peter-haase.
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- item-2 hasContent tobias-mathass.
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- item-3 hasContent michael-schmidt.
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- 402 creator abigail-tarem.
- 402 creator david-ben-david.
- 402 creator tamar-domany.
- 402 type InProceedings.
- 402 label "Enterprise Data Classification using Semantic Web Technologies".
- 402 sameAs 402.
- 402 abstract "Organizations today collect and store large amounts of data in various formats and locations. However they are sometimes required to locate all instances of a certain type of data. Good data classification allows marking enterprise data in a way that enables quick and efficient retrieval of information when needed. We introduce a generic, automatic classification method that exploits Semantic Web technologies to assist in several phases in the classification process; defining the classification requirements, performing the classification and representing the results. Using Semantic Web technologies enables flexible and extensible configuration, centralized management and uniform results. This approach creates general and maintainable classifications, and enables applying semantic queries, rule languages and inference on the results.".
- 402 hasAuthorList authorList.
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- 402 keyword "classification".
- 402 keyword "modeling".
- 402 keyword "rdf".
- 402 keyword "semantic techniques".
- 402 keyword "semantic web".
- 402 title "Enterprise Data Classification using Semantic Web Technologies".
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- item-1 hasContent david-ben-david.
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- item-2 hasContent tamar-domany.
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