teXtagger: Automated XML Tagging of Natural Language Text

We are proposing to build teXtagger, a software tool to automatically apply XML tags to natural language text based on an XML definition, saving enormous amounts of manual tagging effort otherwise required to annotate the texts. If a knowledge base is defined in XML, then teXtagger will be the natural tool for rapidly building large knowledge bases from raw text. Many organizations are creating XML definitions to enable information sharing for collaborative efforts across departments or even entire industries. TeXtagger will support automated reformatting of natural language text into XML-defined intelligent schemas, for texts ranging from scientific and engineering papers to maintenance manuals for spacecraft. Naftware will create new, cross-domain portable, information extraction methods from unrestricted text, to fulfill an important need for NASA and for American society ¿ a significant innovation indeed. Subtopic 24.02 calls for ¿information technology enabling comprehensive sharing of project-related information and data, which supports intelligent organization, access, and presentation of the information.¿ This is, in fact, an excellent description of teXtagger. By automatically transforming raw text into intelligent XML-tagged documents, teXtagger will create major new opportunities for sharing information and organizing, accessing, and presenting it intelligently: turning mountains of text into effective, interactive knowledge repositories.