In the previous part, we started to outline what ontologies are and how they may be used; now it is time to get into more practical guidelines and tips that would help build an ontology from scratch.Though there exist a number well-established methodologies for developing an ontology in various environments, including Protege, Ontolinqua and Chimaera, they are all underpinned by the same basic principles resting on the multidimensionality and flexibility of the ontology. This means that while…See More

Ontologies and Semantic Annotation. Part 1: What Is an OntologyIn the abundance of information, both machines and human researchers need tools to navigate and process it. Structuring and formalization of data into hierarchies, such as trees, may establish the relations between the data required for efficient machine processing and may make the information more readable for data analysts.Yet, in more complex domains, such as in natural language processing, relations between concepts go beyond…See More

We are a Ukraine-based company which means that our parents and grandparents lived in the era of infamous Soviet collective farms, where tractors were considered to be an ultimate technology. For them, a smart farm will sound like a fairy tale.So let it be, a fairy tale of a smart farm.First of all, what is a smart farm?Smart Farming is a concept of farming management using modern…See More

We are a Ukraine-based company which means that our parents and grandparents lived in the era of infamous Soviet collective farms, where tractors were considered to be an ultimate technology. For them, a smart farm will sound like a fairy tale.So let it be, a fairy tale of a smart farm.First of all, what is a smart farm?Smart Farming is a concept of farming management using modern…See More

Recently we have discussed the emerging concept of smart farming that makes agriculture more efficient and effective with the help of high-precision algorithms. The mechanism that drives it is Machine Learning — the scientific field that gives machines the ability…See More

No matter how intelligent and sophisticated your technology is, what you ultimately need for Big Data Analysis is data. Lots of data. Versatile and coming from many sources in different formats. In many cases, your data will come in a machine-readable format ready for processing — data from sensors is an example. Such formats and protocols for automated data transfer are rigidly structured, well-documented and easily parsed. But what if you need to analyze information meant for humans? What if…See More

No matter how intelligent and sophisticated your technology is, what you ultimately need for Big Data Analysis is data. Lots of data. Versatile and coming from many sources in different formats. In many cases, your data will come in a machine-readable format ready for processing — data from sensors is an example. Such formats and protocols for automated data transfer are rigidly structured, well-documented and easily parsed. But what if you need to analyze information meant for humans? What if…See More

As artificial intelligence progresses and technology becomes more sophisticated, we expect existing concepts to embrace this change — or change themselves. Similarly, in the domain of computer-aided processing of natural languages, shall the concept of natural language processing give way to natural language understanding? Or is the relation between the two concepts subtler and more complicated that merely linear progressing of a technology?In this post we’ll scrutinize over the concepts of NLP…See More