Matches in ScholarlyData for { ?s ?p ?o. }
- item-2 hasContent daniel-schwabe.
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- 473 creator daniel-blum.
- 473 creator sara-cohen.
- 473 type InProceedings.
- 473 label "Generating RDF for Application Testing".
- 473 sameAs 473.
- 473 abstract "Application testing is a critical component of application development. Testing of Semantic Web applications requires large RDF datasets, conforming to an expected form or schema, and preferably, to an expected data distribution. Finding such datasets often proves impossible, while generating input datasets is often cumbersome. The GRR (Generating Random RDF) system is a convenient, yet powerful, tool for generating random RDF, based on a SPARQLlike syntax. In this poster and demo, we show how large datasets can be easily generated using intuitive commands.".
- 473 hasAuthorList authorList.
- 473 isPartOf poster-demo-proceedings.
- 473 title "Generating RDF for Application Testing".
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- item-1 hasContent daniel-blum.
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- 474 creator yinglong-ma.
- 474 type InProceedings.
- 474 label "Towards Stable Semantic Ontology Measurement".
- 474 sameAs 474.
- 474 abstract "Stable semantic ontology measurement is crucial to obtain significant and comparable measurement results. In this paper, we present a summary of the definition of ontology measurement stability and the preprocessing for stable semantic ontology measurement from [5]. Meanwhile, we describe two existing ontology metrics. For each of them, we compare their stability from the perspectives of structural and semantic ontology measurements, respectively. The experiments show that some structural ontology measurements may be unusable in cases when we want to compare the measurements of different models, unless the pre-processing of the models is performed.".
- 474 hasAuthorList authorList.
- 474 isPartOf poster-demo-proceedings.
- 474 title "Towards Stable Semantic Ontology Measurement".
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- item-1 hasContent yinglong-ma.
- 476 creator abigail-tarem.
- 476 creator david-ben-david.
- 476 creator tamar-domany.
- 476 type InProceedings.
- 476 label "Enterprise Data Classification Using Semantic Web Technologies".
- 476 sameAs 476.
- 476 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. Data classification enables efficient retrieval of information when needed. This work presents a reference implementation for enterprise data classification using Semantic Web technologies. We demonstrate automatic discovery and classification of Personally Identifiable Information (PII) in relational databases, using a classification model in RDF/OWL describing the elements to discover and classify. At the end of the process the results are also stored in RDF, enabling simple navigation between the input model and the findings in different databases. Recorded demo link: https://www.research.ibm.com/haifa/info/demos/ piidiscovery_full.htm".
- 476 hasAuthorList authorList.
- 476 isPartOf poster-demo-proceedings.
- 476 keyword "Classification".
- 476 keyword "NeON".
- 476 keyword "RDF".
- 476 keyword "RelationalOWL".
- 476 keyword "Semantic Techniques".
- 476 keyword "modeling".
- 476 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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- item-3 hasContent abigail-tarem.
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- 479 creator huajun-chen.
- 479 creator jian-chen.
- 479 creator jinghai-rao.
- 479 creator lei-wang.
- 479 creator ying-liu.
- 479 creator zhipeng-peng.
- 479 type InProceedings.
- 479 label "Semantic-based Mobile Mashup Platform".
- 479 sameAs 479.
- 479 abstract "Mobile devices contain more personal data such as GPS location, contacts and music, with which users can create innovative and pragmatic mashup applications for different areas such as social networking, E-commerce, and entertainment. We propose a semantic-based mobile mashup platform which enables users to create mashup applications by simply selecting service nodes, linking them together and configuring some connection parameters. Our platform also offers a recommendation mechanism on linkable services by adding semantic annotation to service description, so that users do not need to read specifications of web services in order to find out linkable ones. Therefore, users can focus more on the innovation and practicability of their mashup applications, which will surely result in the emergence of abundant mobile mashup applications.".
- 479 hasAuthorList authorList.
- 479 isPartOf poster-demo-proceedings.
- 479 keyword "Semantic annotation".
- 479 keyword "mashup recommendation".
- 479 keyword "mobile mashup".
- 479 keyword "web service".
- 479 title "Semantic-based Mobile Mashup Platform".
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- item-1 hasContent zhipeng-peng.
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- item-2 hasContent huajun-chen.
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