Applied Semantics Enhances Auto-Categorizer Software

Article excerpt

Applied Semantics, Inc., a provider of tools and applications for information management and retrieval, has announced that it has added direct support for the International Press Telecommunications Council's (IPTC) subject codes to its Auto-Categorizer enterprise software product. According to the announcement, this enhancement enables electronic publishers to automate the process of tagging news articles with topic labels for easy routing, archiving, syndication, and retrieval by reporters, researchers, librarians, and fact-checkers-a high-value, yet labor-intensive business process.

Augmenting Applied Semantics' AutoCategorizer with IPTC's subject codes-a three-level hierarchical taxonomy comprising over 900 categories-also allows electronic publishers to integrate news content with other document collections for presentation in intranet portals. News aggregators as well as corporate and institutional libraries can also benefit by categorizing multiple, disparate inbound news streams against this uniform, standard taxonomy.

"Using Applied Semantics' two gigabyte ontology-a perpetually maintained knowledge base containing millions of concepts and relationship links-a small team was able to build this taxonomy in less than 5 days, all without the need for any sample documents or training sets," said Steve Bernstein, general manager of Applied Semantics' Enterprise Solutions division.

Applied Semantics' Auto-Categorizer tool accepts XML input and responds with XML output to provide compatibility with any XML format, but particularly with NewsML and the News Industry Text Format (NITF)-two additional standards established by the 50-plus-member IPTC organization. …