5 Things To Know About Semantic Technologies
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I am always intrigued when reading about Smarter IT solutions that help solve real business challenges, especially the ones that are related with the well-being of our planet. One such solution was described in the recently published IBM Redpaper Foun
The solution described in these documents is an IBM
Here are 5 interesting facts about the semantic technology. Each of these areas is discussed in greater detail in these documents:
Semantic technologies do this by additional contextual information to some existing data set. An example would be adding traffic and weather data to road maps such as the road conditions, weather information, probability of delays, condition of road, status of constructions, and road hazards. This additional data can be used by “smarter automobiles” to make decisions that minimize the risk of accidents.
2. Semantic technology provides a flexible integration approach
Semantic technologies offer better integration and interoperability of diverse information assets than the traditional IT systems and can easily accommodate changes with no need to re-do the schema. Adding, changing and implementing new relationships is easy with semantic modelling, since unlike the traditional technologies, the meanings and relationships are not predefined and “hard wired” into data formats and the application program code at design time. Because of this traditional relational databases are inflexible and fragile when the nature of the world changes, and thus require constant re-architecting in the face of new knowledge or new relationships.
3. Machines can do the work for us but they need to understand the data: Welcome to the world of Sematic Web!
Sematic Web is a collaborative movement led by international standards body the World Wide Web Consortium (W3C). and the goal is enabling machines to "understand" and respond to complex human requests based on their meaning. This type of "understanding" requires that the relevant information sources be semantically stru
4. Ontologies are an essential component of the Semantic Web and Smarter Solutions
Ontologies are explicit formal specifications of the terms in a domain and relations among them, and are best suited for representing the information models needed to enable smarter solutions. Smarter solutions developed to address the business challenges must harness the power of information to deliver their promises. These solutions share the common pattern of Monitor -> Assess -> Predict -> Optimize, and thus demand reference information models (ontologies) for capturing and using observation and measurement data. The following figure shows the types of ontologies that are addressed in IBM Redpaper Foun
5. IBM is embracing Semantic technologies in its products
IBM has an implementation of RDF in DB2. Semantic technology is a key enabler to "contextual computing" and the contextual enterprise. IBM's WATSON Jeopardy! System is an example of contextual computing, and future versions of WATSON will thrive on rich context creation.
Also linked data standards like those supported in the Semantic Web are also being applied inside IBM Rational and Cloud & Smarter Infrastructure products in support of Open
So what do you think about the potential of semantic technology?
Vasfi Gucer is an IBM Redbooks Project Leader. He works with technical experts to create books, guides, blogs, and videos. Follow Vasfi on Twitter at @VasfiGucer