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Automatic recommendations based on skill matching techniques can prove to be an important component of an online recruitment platform, being able to lower the costs for employers, ease the process for candidates and increase the hiring quality overall. This is important nowadays, when online recruitment plays a major role in the hiring process. The main challenges in this area consist in providing...
This paper addresses the semantic gap between the domain knowledge and software application engineering by proposing a framework for mapping and integrating multiple heterogeneous data sources with application business logic by means of data semantic enrichment, aggregation, filtering and processing. Based on the main drawbacks identified in the current knowledge enhanced software application architectures,...
This paper presents a Bird Mating Optimization method for one-to-n skill matching. The method proposed finds the optimal combination of skills from two or more CVs that best satisfies a job description. In our approach the CV sets as well as the job description are described semantically by using a skilltaxonomy. To evaluate the quality of a solution (i.e. a set of CVs that satisfies the job description...
This paper addresses the problem of integrating ontological knowledge bases into complex software applications by proposing a library for exposing ontology access and manipulation as web services. The proposed framework is an extension of our previous work, the M2O framework, and enhances it by integrating reasoning techniques and generating a web services layer for performing basic CRUD operations...
This paper presents an immune-inspired algorithm applied in the context of Web service composition to select the optimal composition solution. Our approach models Web service composition as a multi-layered process which creates a planning-graph structure along with a matrix of semantic links. We have enhanced the classical planning graph with the new concepts of service cluster and semantic similarity...
In this paper we propose an extensible framework over Jena and OWL API that maps complex Java data models onto semantic models based on some custom annotations in order to benefit from the advantages of ontologies in software engineering. Furthermore, it facilitates the implementation of basic CRUD operations for the domain classes and objects, also allowing the definition of new custom operations...
This paper presents a method inspired by ants behavior for creating clusters of semantic Web services. The clustering method groups services according to their semantic similarity. Services are grouped in the same cluster if they provide similar functionality and their input and output parameters are annotated with similar ontology concepts. We propose a matching method which evaluates the semantic...
The automatic discovery of suitable Web services for a given task is one of the key elements in implementing the Semantic Web vision. This paper presents a new matching algorithm for Semantic Web service discovery. Our matching algorithm allows for ranking the discovered Web services according to their relevance to the service request. The learning accuracy is proposed as a suitable metric for determining...
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