Carbonaro, A.; Santandrea, L.: ¬A general Semantic Web approach for data analysis on graduates statistics
0.01
0.013273074 = product of:
0.026546149 = sum of:
0.026546149 = product of:
0.053092297 = sum of:
0.053092297 = weight(_text_:web in 5309) [ClassicSimilarity], result of:
0.053092297 = score(doc=5309,freq=6.0), product of:
0.17002425 = queryWeight, product of:
3.2635105 = idf(docFreq=4597, maxDocs=44218)
0.052098576 = queryNorm
0.3122631 = fieldWeight in 5309, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
3.2635105 = idf(docFreq=4597, maxDocs=44218)
0.0390625 = fieldNorm(doc=5309)
0.5 = coord(1/2)
0.5 = coord(1/2)
- Abstract
- Currently, several datasets released in a Linked Open Data format are available at a national and international level, but the lack of shared strategies concerning the definition of concepts related to the statistical publishing community makes difficult a comparison among given facts starting from different data sources. In order to guarantee a shared representation framework for what concerns the dissemination of statistical concepts about graduates, we developed SW4AL, an ontology-based system for graduate's surveys domain. The developed system transforms low-level data into an enriched information model and is based on the AlmaLaurea surveys covering more than 90% of Italian graduates. SW4AL: i) semantically describes the different peculiarities of the graduates; ii) promotes the structured definition of the AlmaLaurea data and the following publication in the Linked Open Data context; iii) provides their reuse in the open data scope; iv) enables logical reasoning about knowledge representation. SW4AL establishes a common semantic for addressing the concept of graduate's surveys domain by proposing the creation of a SPARQL endpoint and a Web based interface for the query and the visualization of the structured data.
- Theme
- Semantic Web