Wikis have become powerful knowledge management platforms, offering high customizability while remaining relatively easy to deploy and use. With a majority of content in natural language, wikis can greatly benefit from automated text analysis techniques. Natural Language Processing is a branch of computer science that employs various Artificial Intelligence (AI) techniques to process content written in natural language. NLP-enhanced wikis can support users in finding, developing and organizing knowledge contained inside the wiki repository. Rather than relying on external NLP applications, we developed an approach that brings NLP as an integrated feature to wiki systems, thereby creating new human/AI collaboration patterns, where human users work together with automated "intelligent assistants" on developing, structuring and improving wiki content. 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.

This tutorial has two main parts: In the first part, we will present an introduction into NLP and text mining, as well as related frameworks, in particular the General Architecture for Text Engineering and the Semantic Assistants framework. Building on the foundations covered in the first part, we will then look into the Wiki-NLP integration and show how you can add arbitrary text processing services to your (Semantic) MediaWiki instance with minimal effort. Throughout the tutorial, we illustrate the application of NLP in wikis with a number of applications examples from various domains we developed in our research within the last decade, such as cultural heritage data management, collaborative software requirements engineering, and biomedical knowledge management. These showcases of the Wiki-NLP integration highlight a number of integration patterns that will help you to adopt this technology for your own domain.

As a new extension to our Semantic Assistants framework, the integration of Semantic Assistants for Liferay allows portals to automatically process textual content using state-of-the-art techniques from the Natural Language Processing (NLP) domain. The SA-Liferay integration aims at bringing NLP power to this popular portal system and its users in a seamless, user-friendly manner, realized as a ready-to-deploy custom portlet. With this new integration, we envision a new generation of web portals that can provide context-sensitive support through semantic analysis services, in particular based on NLP, allowing AI "assistants" support portal users with their tasks at hand.

A data portal is a web-based software application, which provides a central entry point to an enormous amount of heterogeneous data sources. These mostly heterogeneous information are aggregated from various sources and presented to users based on their assigned roles. Ideally, an intelligent portal must be able to offer content to users, taking into account contextual information beyond their roles and permissions. Our integration of Semantic Assistants for Liferay allows portals to automatically process textual content using state-of-the-art techniques from the Natural Language Processing (NLP) domain. The SA-Liferay integration aims at bringing the NLP power to this popular portal system and its users in a seamless, user-friendly manner, realized as a ready-to-deploy custom portlet.