Applied Semantics Enhances Auto-Categorizer Software. (Internet Publishing Today)

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' Auto-Categorizer 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.

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. IPTC developed the subject codes in support of these two standard XML schemas, both of which provide for the use of topic tags. Currently, many publishing organizations tag and categorize articles manually, a burdensome process fraught with inconsistency, according to the announcement. …