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- 357 creator maria-muslea.
- 357 creator mohsen-taheriyan.
- 357 creator pedro-szekely.
- 357 creator shubham-gupta.
- 357 type InProceedings.
- 357 label "Karma: A System for Mapping Structured Sources into the Semantic Web".
- 357 sameAs 357.
- 357 abstract "The Linked Data cloud contains large amounts of RDF generated from databases. Much of this RDF, generated using tools such as D2R, is expressed in terms of vocabularies automatically derived from the schema of the original database. The generated RDF would be significantly more useful if it was expressed in terms of commonly used vocabularies. Defining the mapping from structured sources such as databases or spreadsheets to ontologies is labor intensive using today’s tools. For example, to define such mappings in R2R, users must write a mapping rule for each column, and each mapping is expressed in terms of graph patterns, which are hard to write. In this work, we present a semi-automatic approach for building mappings from structured sources to ontologies. Our system, Karma, automatically derives these mappings, and provides an easy to use interface that enables users to control the automated process to guide the system to produce the desired mappings. In our evaluation, users need to interact with the system less than once per column (on average) in order to construct the desired mapping rules. The system then users these mapping rules to generate semantically rich RDF for the data sources.".
- 357 hasAuthorList authorList.
- 357 isPartOf proceedings.
- 357 keyword "RDF generation".
- 357 keyword "source mapping".
- 357 keyword "source modeling".
- 357 title "Karma: A System for Mapping Structured Sources into the Semantic Web".
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- item-1 hasContent shubham-gupta.
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- item-2 hasContent pedro-szekely.
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- item-3 hasContent craig-knoblock.
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- item-4 hasContent aman-goel.
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- item-5 hasContent mohsen-taheriyan.
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- item-6 hasContent maria-muslea.
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- 363 creator anastasia-moumtzidou.
- 363 creator ari-karppinen.
- 363 creator desiree-hilbring.
- 363 creator emanuele-pianta.
- 363 creator gerard-casamayor.
- 363 creator harald-bosch.
- 363 creator horacio-saggion.
- 363 creator ioannis-kompatsiaris.
- 363 creator juergen-mossgraber.
- 363 creator leo-wanner.
- 363 creator luciano-serafini.
- 363 creator marco-rospocher.
- 363 creator maria-myllynen.
- 363 creator nadjet-bouayad-agha.
- 363 creator sara-tonelli.
- 363 creator simon-mille.
- 363 creator stefanos-vrochidis.
- 363 creator tarja-koskentalo.
- 363 creator thomas-ertl.
- 363 creator ulrich-buegel.
- 363 creator virpi-tarvainen.
- 363 type InProceedings.
- 363 label "Personalized Environmental Service Configuration and Delivery Orchestration: The PESCaDO Demonstrator".
- 363 sameAs 363.
- 363 abstract "Citizens are increasingly aware of the influence of environmental and meteorological conditions on the quality of their life. This results in an increasing demand for personalized environmental information, i.e., information that is tailored to citizens’ specific context and background. In this demonstration, we present an environmental information system that addresses this demand in its full complexity in the context of the PESCaDO EU project. Specifically, we will show a system that supports submission of user generated queries related to environmental conditions. From the technical point of view, the system is tuned to discover reliable data in the web and to process these data in order to convert them into knowledge, which is stored in a dedicated repository. At run time, this information is transferred into an ontology-based knowledge base, from which then information relevant to the specific user is deduced and communicated in the language of their preference.".
- 363 hasAuthorList authorList.
- 363 isPartOf proceedings.
- 363 keyword "environmental decision support system".
- 363 keyword "information system".
- 363 keyword "ontology-based text generation".
- 363 title "Personalized Environmental Service Configuration and Delivery Orchestration: The PESCaDO Demonstrator".
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