KnowWE: a Semantic Wiki for knowledge engineering

Baumeister, Joachim; Reutelshoefer, Jochen; Puppe, Frank

doi:10.1007/s10489-010-0224-5

Cited by 61 publications

(22 citation statements)

References 34 publications

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“…Semantic wikis enrich the wiki technology by extending the content of wiki pages with semantic annotations, including relations and categories [1]. A very popular implementation is the SemanticMediaWiki [9] which enables a user to query the semantic knowledge stored in the wiki with a specific query language providing dynamic wiki pages.…”

Section: Collaborative Knowledge Engineering With Lokimentioning

confidence: 99%

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%

SBVRwiki a Web-Based Tool for Authoring of Business Rules

Nalepa

Kluza

Kaczor

2015

Artificial Intelligence and Soft Computing

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“…While notation-based tools attempt no emulation of the director's creativity, modelling the artistic user input is a similar technical challenge. The task of Knowledge Acquisition [Milton 2007;Schreiber et al 2000;Stokes 2001;Richards 2004;Shadbolt 2005;Baumeister et al 2011;Brewster et al 2004;Gruber 1993;Studer et al 1998] is also highly relevant here, as both the related technologies referenced in the preceding, any DN software tools, need to represent, reason about, and manipulate, filmmaking concepts. -Second, once directorial decisions have been made by these tools, actual media must be produced or synthesized.…”

Section: Technical Background and Related Workmentioning

confidence: 99%

DirectorNotation

Yannopoulos

2013

J. Comput. Cult. Herit.

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DirectorNotation (DN) is a symbolic language intended to express the content of film (motion pictures), much as notes provide a language for the writing of music. It thus constitutes a new approach to the creative process of filmmaking. Musicians, and also choreographers, have long been able to express their creative choices using logical symbolic structures (music notation and dance notation), yet those working in the movie industry have to rely on cartoons and verbal description. Development of a successful notation becomes appropriate today because of its dependence upon the parallel development of effective notation-based software tools such as visualisation (automatic animated storyboard generation), production budget estimation, and automated rough editing of dailies. Directors maintain complete control of their creative decisions when using DN. It is an artistic language supported by technical tools for planning and analysis. The notation is not merely a graphical user interface for these tools, and the tools are never intended to make decisions for the director. This article introduces DN, argues its great cultural significance, provides market research results showing directors' interest in using it, and reports on two controlled experiments confirming its effectiveness-including its usability in a practical context and its ability to represent and communicate the necessary information. ACM Reference Format:Yannopoulos, A. 2013. DirectorNotation: Artistic and technological system for professional film directing. ACM J. Comput. Cult.

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“…We implemented the algorithm as proposed in Section 3 for the semantic wiki KnowWE [2]. The implementation is independent of the particular knowledge representation, target knowledge repository or markup.…”

Section: Applicationsmentioning

confidence: 99%

“…Extending the incremental compilation algorithm, additional type checks for object references were implemented. The markups have been applied in several real world projects, e.g., CareMate [2], CliWE [6], or BIOLOG [10].…”

Section: Problem-solving Knowledge With D3webmentioning

confidence: 99%

Incremental compilation of knowledge documents for markup-based closed-world authoring

Reutelshoefer

Striffler

Lemmerich

et al. 2011

Proceedings of the Sixth International Conference on Knowledge Capture

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Text-based authoring using knowledge markups is an increasingly popular editing paradigm in manual knowledge acquisition. Closed world authoring environments support the user to form a coherent knowledge base by checking the referenced objects against a set of declared domain objects. In this scenario, the task of efficient translation (compilation) of the text sources is non-trivial. Additionally, in realworld applications frequent small changes are performed on the source documents and instant feedback to the author is crucial. Therefore, a scalable compilation into the target knowledge representations is necessary. In this paper, we introduce a general algorithm for the incremental compilation of knowledge documents, that analyzes the current document modifications and performs minimal updates on the knowledge base. We provide a formal proof of the correctness of the algorithm and show the effectiveness of the approach in several case studies, using various kinds of knowledge representations and markups.

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KnowWE: a Semantic Wiki for knowledge engineering

Cited by 61 publications

References 34 publications

SBVRwiki a Web-Based Tool for Authoring of Business Rules

SBVRwiki a Web-Based Tool for Authoring of Business Rules

DirectorNotation

Incremental compilation of knowledge documents for markup-based closed-world authoring

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