17,816 research outputs found
A HUMAN RESOURCE ONTOLOGY FOR RECRUITMENT PROCESS
In this paper we propose a model of ontology for the human resource domain. We emphasize the benefits resulting from the application of Semantic Web technologies in the recruitment process. We use currently available standards and classifications to develop a human resource ontology which gives us means for semantic annotation of job postings and applications. Furthermore, we outline the process of semantic matching which improves the quality of query results. Finally, we propose the architecture of an evaluation system based on Semantic Web technologies.human resource ontology, HR-XML, e-recruitment, semantic annotation.
Constraint-based Query Distribution Framework for an Integrated Global Schema
Distributed heterogeneous data sources need to be queried uniformly using
global schema. Query on global schema is reformulated so that it can be
executed on local data sources. Constraints in global schema and mappings are
used for source selection, query optimization,and querying partitioned and
replicated data sources. The provided system is all XML-based which poses query
in XML form, transforms, and integrates local results in an XML document.
Contributions include the use of constraints in our existing global schema
which help in source selection and query optimization, and a global query
distribution framework for querying distributed heterogeneous data sources.Comment: The Proceedings of the 13th INMIC 2009), Dec. 14-15, 2009, Islamabad,
Pakistan. Pages 1 - 6 Print ISBN: 978-1-4244-4872-2 INSPEC Accession Number:
11072575 Date of Current Version : 15 January 201
A Query Integrator and Manager for the Query Web
We introduce two concepts: the Query Web as a layer of interconnected queries over the document web and the semantic web, and a Query Web Integrator and Manager (QI) that enables the Query Web to evolve. QI permits users to write, save and reuse queries over any web accessible source, including other queries saved in other installations of QI. The saved queries may be in any language (e.g. SPARQL, XQuery); the only condition for interconnection is that the queries return their results in some form of XML. This condition allows queries to chain off each other, and to be written in whatever language is appropriate for the task. We illustrate the potential use of QI for several biomedical use cases, including ontology view generation using a combination of graph-based and logical approaches, value set generation for clinical data management, image annotation using terminology obtained from an ontology web service, ontology-driven brain imaging data integration, small-scale clinical data integration, and wider-scale clinical data integration. Such use cases illustrate the current range of applications of QI and lead us to speculate about the potential evolution from smaller groups of interconnected queries into a larger query network that layers over the document and semantic web. The resulting Query Web could greatly aid researchers and others who now have to manually navigate through multiple information sources in order to answer specific questions
XQOWL: An Extension of XQuery for OWL Querying and Reasoning
One of the main aims of the so-called Web of Data is to be able to handle
heterogeneous resources where data can be expressed in either XML or RDF. The
design of programming languages able to handle both XML and RDF data is a key
target in this context. In this paper we present a framework called XQOWL that
makes possible to handle XML and RDF/OWL data with XQuery. XQOWL can be
considered as an extension of the XQuery language that connects XQuery with
SPARQL and OWL reasoners. XQOWL embeds SPARQL queries (via Jena SPARQL engine)
in XQuery and enables to make calls to OWL reasoners (HermiT, Pellet and
FaCT++) from XQuery. It permits to combine queries against XML and RDF/OWL
resources as well as to reason with RDF/OWL data. Therefore input data can be
either XML or RDF/OWL and output data can be formatted in XML (also using
RDF/OWL XML serialization).Comment: In Proceedings PROLE 2014, arXiv:1501.0169
- âŠ