Luca Scagliarini of Expert System recently wrote, “Semantic technology is able to understand a text in a way that emulates human comprehension of information… More importantly, it also comprehends conversational language and all its ambiguities (slang, abbreviations, multi-language text) to arrive at an understanding of not just words, but the user’s intention. A good example of this at work can be seen in the recent analysis that the social research firm Sociometra conducted using over 30,000 comments made on social media of tourist destinations (museums, monuments, etc.) and general comments about the city of Rome, Italy. The analysis showcases the technology’s power for analyzing unstructured text and its strength in establishing connections between not just words, but more importantly, concepts.” Read more
Posts Tagged ‘business value’
[Editor’s note: this guest post was co-written by Héctor Pérez-Urbina (Clark & Parsia) and Juan Sequeda (Capsenta)]
Important enterprise business logic is often buried deep within a complex ecosystem of applications. Domain constraints and assumptions, as well as the main actors and the relations with one another, exist only implicitly in thousands of lines of code distributed across the enterprise.
Sure, there might be some complex UML diagrams somewhere accompanied by hundreds of pages of use case descriptions; but there is no common global representation of the domain that can be effectively shared by enterprise applications. When the domain inevitably evolves, applications must be updated one by one, forcing developers to dive into long-forgotten code to try to make sense of what needs to be done. Maintenance in this kind of environment is time-consuming, error-prone, and expensive.
The suite of semantic technologies, including OWL, allows the creation of rich domain models (a.k.a., ontologies) where business logic can be captured and maintained. Crucially, unlike UML diagrams, OWL ontologies are machine-processable so they can be directly exploited by applications.
“If you don’t understand what your software engineers are talking about, perhaps it’s because they are using a vocabulary they invented for the problem they are solving.” This begins a white paper called, “The Business Value of Semantic Technology” by Chris Moran, CTO, Information Management Solutions Consultants, Inc.
Moran continues, “Engineers invent a vocabulary and data structure for each system they build and each problem they solve, and only the engineers who built the system understand this structure and vocabulary. Even other engineers must learn it in order to make the data usable. In most enterprises today, we have as many different ways to ask questions of our data as we have systems to store it. We have as many different vocabularies and data structures as we have systems. The problem is actually worse than it sounds….”
Nathan Eddy of eWeek reports that, according to Gartner analysts, open data is “far more consequential for increasing revenue and business value” than Big Data. He writes, “Open data, according to the research firm, refers to the idea that certain data should be freely available to everyone to use and republish as they wish, without restrictions from copyright, patents or other forms of control.” Read more