Data and knowledge management technologies are of strategic importance for industrial innovation, provided they are integrated in the company processes, in the organisational structure, and can be flexibly adapted to company evolution.
The combination of dynamic user-generated content and multi-lingual aspects is particularly prominent in Wiki sites. Wikis have gained increased popularity over the last few years as a means of collaborative content creation as they allow users to set up and edit web pages directly.
The overall goal of the OKKAM project is to enable the Web of Entities, a global digital space for publishing and managing information about entities, where every entity is uniquely identified, and links between entities can be explicitly specified and exploited in a variety of scenarios.
The efficient and real-time exploitation of large streaming data sources and stored data poses many questions regarding the underlying platform, including:
1) Performance - how can the potential performance of the platform be exploited effectively by arbitrary applications;
2) Guarantees - how can
The goal of LT-Web is to set the foundation for the integration of language technologies into core Web technologies, via the creation of a standard defining three kinds of metadata about: 1) information in Web content being relevant for language technology processing; 2) processes for creating Web c
During the last years, there has been a high increase in the use of social networks and blogs so that citizens and consumers express now widely their opinions about different topics like politics, society and media, through these channels.
The use of machine translation (MT) is becoming much more pervasive. At the same time, Web 2.0 paradigms are democratising content creation - stressing the value of communities of users creating content for each other. However, right now these two trends are fairly incompatible.
Currently there are a multitude of companies offering Content Analytics and Social Internet Mining services for the purposes of Opinion Mining and Sentiment Analysis. Truly effective Sentiment Analysis is a complex NLP task in monolingual contexts alone.