by Angela Guess
Jarred McGinnis recently wrote in IT Pro Portal, “The fragmented way in which firms across all of these industries hold data and content is one of the main causes of operational headache. For all of them the ability to accurately match data across their databases as quickly as possible is absolutely paramount to the way they work. Consider the benefits for a legal firm which wanted to investigate if some intellectual property was in breach of an existing patent, or a research and development centre investigating if anything resembling its line of inquiry had been modelled elsewhere before… Facing these challenges, it is worth exploring how semantic technology can aid organisations today.”
McGinnis continues, “Natural language processing can allow a computer to identify links between entities within a database that traditional data matching simply cannot compute. This then empowers human users to glean insights from their data which would otherwise not be achievable. Unlike Google’s literature analysis and Microsoft’s Tay, most enterprises and SMBs use technology that is a long way behind these headline grabbing activities. Natural language understanding lacks the maturity that natural language processing provides to the IT infrastructures used by businesses today. Ontotext has been able to take a lead in this arena and develop semantic technology which has a direct application to the manner in which data is processed by computers and used by humans.”
Photo credit: Flickr