Semantic technology company, Ontotext, and Structured Dynamics have formed a partnership to address some of the key semantic "gaps" in the semantic Web. The partnership will focus on development of the next generation of the UMBEL and PROTON ontologies, as well as tools and applications based on them.
On Thursday, November 4th at 1 p.m. EST, Siteworx will host a live webinar titled, "Enterprise Search - Key Driver of Today's Best Web Experiences," featuring Leslie Owens, Senior Analyst at Forrester Research, Inc.
Scientists are trying to find a new way for computers to learn over time and start analyzing information in more human-like ways. A little scary, but sounds a lot like semantic technology to me.
A new partnership between Content Analyst and TCDI will incorporate Content Analyst Analytics Technology (CAAT) into TCDI’s proprietary e-discovery application suites: Discovery WorkFlow and ClarVergence.
Tech companies come and go. There are always tech savvy entrepreneurs with big ideas looking to fill a need in the market and investors looking to get the huge returns that only come from investing in tech startups. But tech is risky, markets are volatile, and oftentimes what seems like a good idea is not always as good once implemented in the real world. A good example of this is the dot com boom and subsequent bust in the early 21st century. You could get funding on a back of the envelop business plan. Billions of dollars were invested in tech startups with big ideas and big dreams. Many of these dreams were shattered when investors realized they were not getting the same returns they had hoped.
iProgrammer reviews the book Foundations of Semantic Web Technologies by Pascal Hitzler, Markus Krötzsch & Sebastian Rudolph. The reviewer points out that the book is an academic book and though very approachable, will deliver what you would expect from an academic book.
IE as in Information Extraction, not the other one, is defined in the book Semantic Web Technologies: Trends and Research in Ontology-based Systems, John Davies, Rudi Studer, and Paul Warren define this type of IE as “a technology based on analyzing natural language in order to extract snippets of information.”
Computer’s biggest challenge is unraveling semantics, understanding the meaning of language. Beyond the actual definition, context impacts everything. A team of researchers at Carnegie Mellon University has been working since the beginning of the year on fine-tuning a computer system that is trying to master semantics by learning more like a human.