René Witte

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René Witte is an author.

Publications

Only those publications related to wikis are shown here.
Title Keyword(s) Published in Language DateThis property is a special property in this wiki. Abstract R C
The ReqWiki approach for collaborative software requirements engineering with integrated text analysis support Natural Language Processing
Quality Assurance
Semantic wiki
Software Requirements Engineering
Proceedings - International Computer Software and Applications Conference English 2013 The requirements engineering phase within a software project is a heavily knowledge-driven, collaborative process that typically involves the analysis and creation of a large number of textual artifacts. We know that requirements engineering has a large impact on the success of a project, yet sophisticated tool support, especially for small to mid-size enterprises, is still lacking. We present Reqwiki, a novel open source web-based approach based on a semantic wiki that includes natural language processing (NLP) assistants, which work collaboratively with humans on the requirements specification documents. We evaluated Reqwiki with a number of software engineers to investigate the impact of our novel semantic support on software requirements engineering. Our user studies prove that (i) software engineers unfamiliar with NLP can easily leverage these assistants and (ii) semantic assistants can help to significantly improve the quality of requirements specifications. 0 0
Natural Language Processing for MediaWiki: The Semantic Assistants Approach WikiSym English August 2012 We present a novel architecture for the integration of Natural Language Processing (NLP) capabilities into wiki systems. The vision is that of a new generation of wikis that can help developing their own primary content and organize their structure by using state-of-the-art technologies from the NLP and Semantic Computing domains. The motivation for this integration is to enable wiki users – novice or expert – to benefit from modern text mining techniques directly within their wiki environment. We implemented these ideas based on MediaWiki and present a number of real-world application case studies that illustrate the practicability and effectiveness of this approach. 0 0
ReqWiki: A semantic system for collaborative software requirements engineering Natural Language Processing
Quality assurance
Semantic wiki
Software requirements engineering
Verification and validation
WikiSym 2012 English 2012 The requirements engineering phase within a software project is a heavily knowledge-driven, collaborative process that typically involves the analysis and creation of a large number of textual artifacts. We know that requirements engineering has a large impact on the success of a project, yet sophisticated tool support, especially for small to mid-size enterprises, is still lacking. We present ReqWiki, a novel open source web-based approach based on a semantic wiki that includes Natural Language Processing (NLP) assistants, which work collaboratively with humans on the requirements specification documents. 0 0
Supporting wiki users with natural language processing Human-AI collaboration patterns
Natural Language Processing
Semantic assistants
Wiki systems
WikiSym 2012 English 2012 We present a "self-aware" wiki system, based on the MediaWiki engine, that can develop and organize its content using state-of-art techniques from the Natural Language Processing (NLP) and Semantic Computing domains. This is achieved with an architecture that integrates novel NLP solutions within the MediaWiki environment to allow wiki users to benefit from modern text mining techniques. As concrete applications, we present how the enhanced MediaWiki engine can be used for biomedical literature curation, cultural heritage data management, and software requirements engineering. 0 0
Integrating Wiki Systems, Natural Language Processing, and Semantic Technologies for Cultural Heritage Data Management Language Technology for Cultural Heritage English 2011 Modern documents can easily be structured and augmented to have the characteristics of a semantic knowledge base. Many older documents may also hold a trove of knowledge that would deserve to be organized as such a knowledge base. In this chapter, we show that modern semantic technologies offer the means to make these heritage documents accessible by transforming them into a semantic knowledge base. Using techniques from natural language processing and Semantic Computing, we automatically populate an ontology. Additionally, all content is made accessible in a user-friendly Wiki interface, combining original text with NLP-derived metadata and adding annotation capabilities for collaborative use. All these functions are combined into a single, cohesive system architecture that addresses the different requirements from end users, software engineering aspects, and knowledge discovery paradigms. The ideas were implemented and tested with a volume from the historic Encyclopedia of Architecture and a number of different user groups. 0 0
Converting a historical architecture encyclopedia into a semantic knowledge base IEEE Intelligent Systems English 2010 The Handbook on Architecture (Handbuch der Architektur) was perhaps one of the most ambitious publishing projects ever. Like a 19thcentury Wikipedia, it attempted nothing less than a full account of all architectural knowledge available at the time, both past and present. It covers topics from Greek temples to contemporary hospitals and universities; from the design of individual construction elements such as window sills to large-scale town planning; from physics to design; from planning to construction. It also discusses architectural history and styles and a multitude of other topics, such as building conception, statics, and interior design. 0 0
Connecting Wikis and natural language processing systems Self-aware Wiki System
Wiki/NLP integration
Proceedings of the Conference on Object-Oriented Programming Systems, Languages, and Applications, OOPSLA English 2007 We investigate the integration of Wiki systems with automated natural language processing (NLP) techniques. The vision is that of a "self-aware" Wiki system reading, understanding, transforming, and writing its own content, as well as supporting its users in information analysis and content development. We provide a number of practical application examples, including index generation, question answering, and automatic summarization, which demonstrate the practicability and usefulness of this idea. A system architecture providing the integration is presented, as well as first results from an initial implementation based on the GATE framework for NLP and the MediaWiki system. Copyright 0 1