1. Overview

Semantic Assistants support users in content retrieval, analysis, and development, by offering context-sensitive NLP services directly integrated with common desktop applications (word processors, email clients, Web browsers, ...), web information systems (wikis, portals) and mobile applications (based on Android). They are implemented through an open service-oriented architecture, using Semantic Web ontologies and W3C Web Services.

Semantic Assistants Overview

1.1. Info Sheets

For the impatient, we have a few info sheets available:

As part of the Semantic Assistants project, we developed the idea of a "self-aware" wiki system that can develop and organize its own content using state-of-art techniques from the Natural Language Processing (NLP) and Semantic Computing domains. This is achieved with our open source Wiki-NLP integration, a Semantic Assistants add-on that allows to incorporate NLP services into the MediaWiki environment, thereby enabling wiki users to benefit from modern text mining techniques.

Here, we want to exhibit how a seamless integration of NLP techniques into wiki systems helps to increase their acceptability and usability as a powerful, yet easy-to-use collaborative platform. We hope this will help you to identify new human-computer interaction patterns for other scenarios, allowing you to make the best possible use of this new technology.

Semantic Assistants for wikis are our novel architecture for the integration of Natural Language Processing (NLP) capabilities into wiki systems, based on the Semantic Assistants framework. 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.