|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 topiclabels 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.
"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. 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.
"Outdated manual processes simply won't scale with the onslaught of
digitized news content," said Bernstein. "Applied Semantics' enterprise
software products automate categorization, metatagging, and document summarization,
increasing productivity and efficiency, and enabling publishers to deliver
more relevant content more quickly to their subscribers. Our products scale
with the growth of a company's content."
Applied Semantics (formerly known as Oingo) develops software solutions
that enable businesses to better organize, manage, and retrieve digital
information in Web-enabled, enterprise, and e-commerce environments. Applied
Semantics' solutions are based on the company's CIRCA Technology, which
understands, organizes, and extracts knowledge from unstructured content
in a way that mimics human thought and language, allowing for more effective
information retrieval. Founded in 1998, Applied Semantics provides customized,
stand-alone software applications for businesses, as well as tools and
middleware solutions that can be integrated into existing systems.
Source: Applied Semantics, Inc., Los Angeles, 310/446-8162; http://www.appliedsemantics.com.