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- 211 creator aidan-hogan.
- 211 creator andreas-harth.
- 211 creator juergen-umbrich.
- 211 creator stefan-decker.
- 211 type InProceedings.
- 211 label "YARS2: A Federated Repository for Querying Graph Structured Data from the Web".
- 211 sameAs 211.
- 211 abstract "We present the architecture of an end-to-end semantic search engine that uses a graph data model to enable interactive query answering over structured and interlinked data collected from many disparate sources on the Web. In particular, we study distributed indexing methods for graph-structured data and parallel query evaluation methods on a cluster of computers. We evaluate the system on a dataset with 430 million statements collected from the Web, and provide scale-up experiments on 7 billion synthetically generated statements.".
- 211 hasAuthorList authorList.
- 211 hasTopic Application_software.
- 211 hasTopic Data_management.
- 211 hasTopic Database.
- 211 hasTopic Grid_computing.
- 211 hasTopic Information_integration.
- 211 hasTopic Peer-to-peer.
- 211 hasTopic Semantic_Web.
- 211 hasTopic Software_agent.
- 211 hasTopic Web_service.
- 211 isPartOf proceedings.
- 211 title "YARS2: A Federated Repository for Querying Graph Structured Data from the Web".
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- item-1 hasContent andreas-harth.
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- 225 creator wei-hu.
- 225 creator yuzhong-qu.
- 225 type InProceedings.
- 225 label "Discovering Simple Mappings Between Relational Database Schemas and Ontologies".
- 225 sameAs 225.
- 225 abstract "Ontologies proliferate with the growth of the Semantic Web. However, most of data on the Web are still stored in relational databases. Therefore, it is important to establish interoperability between relational databases and ontologies for creating a Web of data. An effective way to achieve interoperability is finding mappings between relational database schemas and ontologies. In this paper, we propose a new approach to discovering simple mappings between a relational database schema and an ontology. It exploits simple mappings based on virtual documents, and eliminates incorrect mappings via validating mapping consistency. Additionally, it also constructs a special type of semantic mappings, called contextual mappings, which is useful for practical applications. Experimental results demonstrate that our approach performs well on several data sets from real world domains.".
- 225 hasAuthorList authorList.
- 225 hasTopic Information_integration.
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- 225 hasTopic Semantic_Web.
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- 225 title "Discovering Simple Mappings Between Relational Database Schemas and Ontologies".
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- 239 creator david-huynh.
- 239 creator david-karger.
- 239 creator robert-miller.
- 239 type InProceedings.
- 239 label "Potluck: Data Mash-Up for Non-programmers".
- 239 sameAs 239.
- 239 abstract "As there is more and more reusable structured data on the Web, casual users will want to take into their own hands the task of mashing up data rather than wait for mash-up sites to be built that address exactly their individually unique needs. In this paper, we present Potluck, a Web user interface that lets casual users—those without programming skills and data modeling expertise—mash up data themselves. Potluck is novel in its use of drag and drop for merging fields, its integration and extension of the faceted browsing paradigm for focusing on subsets of data to align, and its application of simultaneous editing for cleaning up data syntactically. Potluck also lets the user construct rich visualizations of data in-place as the user aligns and cleans up the data. This iterative process of integrating the data while constructing useful visualizations is desirable when the user is unfamiliar with the data at the beginning—a common case—and wishes to get immediate value out of the data without having to spend the overhead of completely and perfectly integrating the data first. A user study on Potluck indicated that it was usable and learnable, and elicited excitement from programmers who, even with their programming skills, previously had great difficulties performing data integration.".
- 239 hasAuthorList authorList.
- 239 hasTopic Evaluation.
- 239 hasTopic Human-computer_interaction.
- 239 hasTopic Information_integration.
- 239 hasTopic Ontology_%28computer_science%29.
- 239 hasTopic Ontology_alignment.
- 239 hasTopic Personal_information_management.
- 239 hasTopic Semantic_Web.
- 239 isPartOf proceedings.
- 239 title "Potluck: Data Mash-Up for Non-programmers".
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