Collaborative Knowledge Engineering with Wikis

Nalepa, Grzegorz J.

doi:10.1007/978-3-319-66655-6_15

Cited by 4 publications

(6 citation statements)

References 18 publications

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“…More complex systems allow for building an ontology of the domain to which the content of the wiki is related. In this way, semantic wikis turn regular wikis into knowledge management platforms [14]. Such systems are being used not only in knowledge engineering but also software engineering [10,3,4].…”

Section: Collaborative Knowledge Engineering With Lokimentioning

confidence: 99%

“…Moreover, we opted for a web-based solution that would allow business users and analytics to collaborate using a familiar browser-based interface. To deliver such a solution, we decided to use our experience with Loki, a semantic wiki platform [14,15].…”

Section: Related Work and Motivationmentioning

confidence: 99%

“…Loki [14,15] is an example of a semantic wiki that uses an expressive logicbased knowledge representation. It is based on Horn clauses for facts, relations and rules, as well as dynamic queries.…”

Section: Collaborative Knowledge Engineering With Lokimentioning

confidence: 99%

“…Besides basic syntax highlighting and checking, the tool allows for logical analysis. It is integrated with the Loki knowledge engineering platform [14,15] that allows for on-the-fly conversion of the SBVR rule base and vocabularies to Prolog. Use of the Prolog-based representation opens up possibilities of formalized analysis of SBVR rules on the semantic level.…”

Section: Introductionmentioning

confidence: 99%

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SBVRwiki a Web-Based Tool for Authoring of Business Rules

Nalepa

Kluza

Kaczor

2015

Artificial Intelligence and Soft Computing

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Abstract. In the paper, a new tool called SBVRwiki is proposed. It is an online collaborative solution that allows for distributed and incremental SBVR rule authoring for business analytics and users. It uses the Dokuwiki back-end for storage and unlimited version control, as well as user authentication. It supports creation of vocabularies, terms and rules in a transparent, user friendly fashion. Furthermore, it provides visualization and evaluation mechanisms for created rules. It is integrated with the Loki knowledge engineering platform that allows for on-the-fly conversion of the SBVR rule base and vocabularies to Prolog.

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Section: Collaborative Knowledge Engineering With Lokimentioning

confidence: 99%

Section: Related Work and Motivationmentioning

confidence: 99%

Section: Collaborative Knowledge Engineering With Lokimentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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SBVRwiki a Web-Based Tool for Authoring of Business Rules

Nalepa

Kluza

Kaczor

2015

Artificial Intelligence and Soft Computing

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“…A system for integrating various distributed data sources and documents must be able to not only handle various data sources but also integrate various data formats to serve as an effective tool for knowledge processing and knowledge representation (Nalepa 2010;Pfaff and Krcmar 2015). Therefore, this paper presents an ontology-based knowledge support system with a domain-specific ontology as a pivotal methodology for representing domain-specific conceptual knowledge, as proposed by Guo and Zhang (2009) and Krcmar (2014, 2015).…”

Section: Benchmarking Data and Knowledge Integrationmentioning

confidence: 99%

A web-based system architecture for ontology-based data integration in the domain of IT benchmarking

Pfaff

Krcmar

2017

Enterprise Information Systems

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In the domain of IT benchmarking (ITBM), a variety of data and information are collected. Although these data serve as the basis for business analyses, no unified semantic representation of such data yet exists. Consequently, data analysis across different distributed data sets and different benchmarks is almost impossible. This paper presents a system architecture and prototypical implementation for an integrated data management of distributed databases based on a domain-specific ontology. To preserve the semantic meaning of the data, the ITBM ontology is linked to data sources and functions as the central concept for database access. Thus, additional databases can be integrated by linking them to this domain-specific ontology and are directly available for further business analyses. Moreover, the web-based system supports the process of mapping ontology concepts to external databases by introducing a semi-automatic mapping recommender and by visualizing possible mapping candidates. The system also provides a natural language interface to easily query linked databases. The expected result of this ontologybased approach of knowledge representation and data access is an increase in knowledge and data sharing in this domain, which will enhance existing business analysis methods. ARTICLE HISTORY

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