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- item-6 hasContent stefan-dietze.
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- 97 creator achim-rettinger.
- 97 creator andreas-thalhammer.
- 97 type InProceedings.
- 97 label "Browsing DBpedia Entities with Summaries".
- 97 sameAs 97.
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- 97 title "Browsing DBpedia Entities with Summaries".
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- 16 creator carlo-allocca.
- 16 creator ioanna-zidianaki.
- 16 creator michalis-mountantonakis.
- 16 creator nikos-minadakis.
- 16 creator pavlos-fafalios.
- 16 creator yannis-marketakis.
- 16 creator yannis-tzitzikas.
- 16 type InProceedings.
- 16 label "Matware: Constructing and Exploiting Domain Specific Warehouses by Aggregating Semantic Data".
- 16 sameAs 16.
- 16 abstract "In many applications one has to fetch and assemble pieces of information coming from more than one web sources such as SPARQL endpoints. In this paper we describe the corresponding requirements and challenges, and then we present a process and a tool that we have developed (called MatWare) for constructing such semantic warehouses. We focus on domain-specific warehouses, where the focus is given on the aspects of quality, value and freshness. Subsequently, we present MatWare (MATerialized WAreshouse), a tool that we have developed for automating the construction of such warehouses, for assessing their value and for automating their reconstruction. Finally we report our experiences from using it for building, maintaining and evolving an operational semantic warehouse for the marine domain, that is currently in use by several applications ranging from e-infrastructure services to smart phone applications.".
- 16 hasAuthorList authorList.
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- 16 keyword "Aggregation of Linked Data".
- 16 keyword "Connectivity".
- 16 keyword "Domain Specific Semantic Warehouses".
- 16 keyword "Provenance".
- 16 keyword "Top Level Ontology".
- 16 title "Matware: Constructing and Exploiting Domain Specific Warehouses by Aggregating Semantic Data".
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- 189 creator carsten-binnig.
- 189 creator christoph-pinkel.
- 189 creator clemens-martin.
- 189 creator johannes-trame.
- 189 creator kunal-sengupta.
- 189 creator peter-haase.
- 189 type InProceedings.
- 189 label "How to Best Find a Partner? An Evaluation of Editing Approaches to Construct R2RML Mappings".
- 189 sameAs 189.
- 189 abstract "R2RML defines a language to express mappings from relational data to RDF. That way, applications built on top of the W3C Semantic Technology stack can seamlessly integrate relational data using those mappings. A major obstacle to using R2RML, though, is the effort for manually curating the mappings. In particular in scenarios that aim to map data from huge and complex relational schemata to more abstract ontologies efficient ways to support the mapping creation are needed. In previous work we presented a mapping editor that aims to reduce the effort that users need to invest for mapping creation. While assisting users in mapping construction the editor also imposed a fixed editing approach, which turned out to be not optimal for all users and all kinds of mapping tasks. Most prominently, it is unclear on which of the two data models users should best start with the mapping construction. In this paper, we present the results of a comprehensive user study that evaluates different alternative editing approaches for constructing R2RML mapping rules. In the user study we measure the efficiency and quality of the mapping construction to find out which approach works better for users with different background knowledge and for different types of tasks in order to extend our editor.".
- 189 hasAuthorList authorList.
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- 189 keyword "mappings".
- 189 keyword "r2rml".
- 189 keyword "user study".
- 189 title "How to Best Find a Partner? An Evaluation of Editing Approaches to Construct R2RML Mappings".
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