with regard to any text
Answers any question with regard to any text on any domain at any time
instantly and automatically!
High-Tech adjusting itself to human requirements and not the other way around!
Presumably the most intelligent search engine & knowledge management system for information deposited in texts / web pages, since no stop word elimination takes place, but the meaning of these stop words - e.g. prepositions - is being considered. This allow the up to now largest possible automation in the area of knowledge management and question answering.
What is FactMind?
FactMind is easy to handle and widely applicable - which becomes possible by harnessing the latest and most advanced technologies: FactMind answers textual inquiries in natural language by interpreting the meaning of queries and document collections and finally providing relevant passages. This type of application can be compared to the classical Internet search engines or office software assistants - but employs a brand-new approach. This technology speeds up and simplifies your daily work and improves the competitiveness of your company drastically due to lower cost structures.
Which are the advantages of FactMind?
The main advantages of this innovative technology are:
In how far is FactMind more flexible regarding questions and deposited knowledge?
FactMind is - in contrast to today’s common applications - equipped with a much higher level of text understanding ability.
For your questions you may use:
FactMind understands you. This means concretely: You pose questions just like you would when in conversation.
What can FactMind be applied to?
FactMind is very widely applicable – literally in all fields related to texts or knowledge and queries. Some examples:
Integration of the helpdesk module
FactMind is continually improved by Compris Intelligence GmbH in cooperation with Fraunhofer society and by implementing the latest scientific insights in computational linguistics. It is therefore able to meet with the ever changing requirements of today's world.
FactMind as a concert of three technologies
FactMind can import knowledge from arbitrary texts that can each be stored in various textual file formats. The whole process starts by depositing the meaning of texts in a sophisticated knowledge representation formalism. Questions are brought into this knowledge representation in real time. These exact representations of text meaning - mostly without ambiguities - will then be matched against each other. In a first step FactMind identifies the matching key concepts with the speed known from Internet search engines. The second step features the subtle linguistic evaluation of the candidate matches from the first step. For this reason this approach also works as a meta search engine in which classical search engines carry out the first step.
Linguistic parsing technology
By employing the modern HPSG (Head-Driven phrase Structure Grammar) language technology of the CSLI (Center for the Study of Language and Information; Stanford University, USA) vocabulary can be covered better. This technology is able to learn and represent any semantic relations.
A general English parser is used, which constructs a parse tree, resolves ambiguities, performs morphological reduction to basic forms and reduces ambiguities. Furthermore, the semantic roles of the words (subject, predicate, direct/indirect object) are determined.
To make it more readable, the parser output is often represented as a tree. Out of that tree, the dependencies found between the sentence elements can easily be read.
Pattern matching on text and tags
SGML, HTML, XML - all have tags in common that contain further information on content or formatting. In addition to the classical search in content it is also possible to look for particular combinations of tags and content: For example it is possible to search
Another highlight is the possibility to specify that key words or key concepts in headines or in highlighted form should have a higher weight. Smaller weights are typically assigned to larger accumulations of key words in hardly readable font sizes at the end of web pages. Through a particular marking in the knowledge base it can be guaranteed that mandatory legal disclaimers will appear in any case in the output.
Statistical weighting & scoring
Humans put important statements at the beginning of a sentence, putting less important information into subordinate clauses. It does usually make a difference if something is mentioned as subject, predicate or object. Frequent words, in particular filler words are often less important. Prepositions (before, while, above) as well as conjunctions (with, because) are usually important and have their special meanings. Even the classical search engines take the number of appearances of key words into consideration. Exactly these factors are combined statistically in FactMind following an elaborate system. This technology also decides - depending on the context - which of several imaginable meanings is present. The results are presented in the order of their ranking. Due to this approach the system automatically recognizes when it has not found an appropriate answer and can forward the query to humans. You are likely to find that there is no appropriate answer in the underlying knowledge base in such cases.
Which improvements are in progress?
Which versions can be delivered?
Versions are available for MS-Windows as standalone systems and software development kits (SDK) including compiled libraries for linking them to applications. For Unix, in particular Linux, a web server version is additionally available. Currently, English and German releases are shipped.
Information & Questions: email@example.com
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