**5. Publishing and searching enterprise knowledge stores with SW tools**

Once represented as an RDF data store, the HR data can be linked in the (LOD) cloud and become available for further exploitation. Herein, we would like to discuss two possibilities for searching RDF models:


#### **5.1 Navigating and querying the semantic knowledge models with** *OntoWiki*

In order to publish the developed ontological models on the Web, maintain, search and retrieval in efficient and meaningful way the OntoWiki Knowledge Engineering opensource tool can be used (see ontowiki.net). The main goal of the *OntoWiki* is to facilitate the visual presentation of a knowledge base as an information map, with different views on instance data. *OntoWiki* provides a generic user interface for arbitrary RDF knowledge bases. Each node at the information map, e.g. RDF resource *foaf:Person*, is represented as a Web accessible page and interlinked to related digital resources, e.g. using the *rdfs:subClassOf* semantic property to other RDF resource *foaf:Agent*.

Selection opportunities include (see Fig.4):

218 Security Enhanced Applications for Information Systems

Fig. 3. Defining mapping rules with TopBraid SPINMap SPARQL-based language.

**5.1 Navigating and querying the semantic knowledge models with** *OntoWiki* 

*rdfs:subClassOf* semantic property to other RDF resource *foaf:Agent*.

for searching RDF models:

1. using OntoWiki tool (Auer, 2007);

(Tummarello et al., 2010).

**5. Publishing and searching enterprise knowledge stores with SW tools** 

Once represented as an RDF data store, the HR data can be linked in the (LOD) cloud and become available for further exploitation. Herein, we would like to discuss two possibilities

2. using Sig.ma, a service and an end user application to access the Web of Data

In order to publish the developed ontological models on the Web, maintain, search and retrieval in efficient and meaningful way the OntoWiki Knowledge Engineering opensource tool can be used (see ontowiki.net). The main goal of the *OntoWiki* is to facilitate the visual presentation of a knowledge base as an information map, with different views on instance data. *OntoWiki* provides a generic user interface for arbitrary RDF knowledge bases. Each node at the information map, e.g. RDF resource *foaf:Person*, is represented as a Web accessible page and interlinked to related digital resources, e.g. using the


Fig. 4. Expertise search with OntoWiki.

Once a selection is made, the main content section will arrange matching content in a list view linking to individual views for individual instances. The right sidebar offers tools and complementary information specific to the selected content.

Building Expert Profiles Models Applying Semantic Web Technologies 221

Fig. 6. An example of available personal profile document in the LOD cloud.

Taking into account the new trends in the design and implementation of enterprise information systems (based on adaptable, flexible, and open IT architecture, using open standards and emerging technologies), this Chapter introduced new insight into expertise management and proposed the Semantic Web-based approach to HR data representation,

**Ontology-based approach to competency management**: The proposed ontology-based approach to competency management includes establishment of a modular knowledge base of expert profiles and population of the knowledge base with information extracted from different HR related sources. The proposed approach based on emerging technologies and tools does not complement the existing information - integration approach (e.g. integrating the expert data in a form of a database) or the content management approach (e.g. integrating the experts' documents in a form of a document base), but it rather extends, enhances and integrates them with the aim to obtain a complete picture of the available

**Explicit, standard format of expert profile that facilitates data interoperability and expert search:** As the interoperability between different knowledge organization schemas is one of the major Linked Open Data issues, the design of the semantic knowledge model in this Chapter was based on public vocabularies such as FOAF, DOAC, SIOC, DOAC, BibTeX, as

**6. Conclusion**

resources.

integration and retrieval.

The main steps in the process of navigating and querying of a semantic model can be summarized as follows.



Fig. 5. Personal profile document of instance Janev-PPD.

#### **5.2 Searching Web of Data using Sig.Ma**

Once available on the Web, expert profiles can be searched with Semantic search engines, e.g. Sig.Ma.


Fig. 6. An example of available personal profile document in the LOD cloud.
