TextUrgy
Invention
TextUrgy’s Semserver makes it possible for a document to tell the reader what it’s really all about. This automatic way of topicalisation is a brand new property far beyond what an index tool does. In basic an index focuses on words and on their frequency. The SemServer semantic engine delivers a thematic presentation of the content. The answer embedded in TextUrgy is to get the user closer to the content by new representational means and a new set of tools interfacing these. The inventors have transformed text into a system and context sensitive index entries supporting flexible informations extraction, exploration and filtering in large documents.
TextNews™
TextNews™ is a service that uses TextUrgy’s search and navigation interface on a stream of fresh news. The beta version supplies with news articles from over 800 news sources, and is currently avaliable in Norwegian. This is a unique way of following news that you are interested in, and gives you an opportunity to perform news gathering in a far more efficient way than you are used to.
Applications
Markets for the SemServer and method are search vendors and others in need of the best tool for enterprise search.
Advantages
Implementation of the semantic indexing engine SemServer in an information system would give the following benefits:
- Reduce time spent working on retrieving relevant data.
- Make searching for relevant data more intuitive for the users.
- Make it easier for the users to discover important data that could otherwise be overlooked.
- Make it possible for users to more effectively handle large result sets returned from a keyword search engine.
- Can be inter-faced with existing search engines or function as a standalone system
Technology
The core of the technology behind TextUrgy is a semantic indexing engine which makes it possible to integrate tools into existing information systems which greatly improves in the way users retrieve data. After indexing has been completed the index structure contains information about all the terms in the source texts classified into five general classes. The terms are also given a ranking value which is based on both semantic- and statistical information. This makes it possible to list for example all persons and organizations in a text collection and provide information about the different activities they pertain in. The SemServer handles ambiguity and is therefore also able to further classify the terms according to thematic areas making it possible to navigate text collections (e.g. a result set) on a more general level. This type of navigation works very well in combination with keyword search engines.
Interested in this technology?
Please contact CEO Trond Walker here, or click on the link for more information about TextUrgy‘s SemServer or the service TextNews™. TextUrgy is granted a patent for Norway and has patent pending for EPO, USA and Canada.
