Ask Data Anything - Election results example

In modern organizations, data management is a major issue and at the same time a major resource. In our experience, the first challenge a business that wants to use its data is facing how to have a unified view of their data. Generally data inside organizations is stored in different databases that have often proprietary API making it difficult to move from one database to the other. Furthermore, also when the technology used to store data is the same, there are still semantic problems like different terminologies, languages etc.

The bigger the company is, the lower the possibility to standardize the procedures are, so that these kind of situations will not happen. This happens because we are human and we naturally tend to interpret data using our own experience and knowledge. Thus we cannot expect the technical team to call all pieces of a car using the exact same terminology as the logistic department. This is why, our solution aims at giving the possibility to standardize the way in which the end user interact with the data without actually changing the source of the data.

Ask Data Anything (ADA), allows companies to add a semantical layer on top of the data without the need of copying data. The product is managing term disambiguation, aggregation of data using hierarchies defined in ontologies, data integration between different data sources.

Example of using SWRL built-ins with Solar System ontology.

Introduction to SWRL

Semantic Web Rule Language (SWRL for short) is a combination of OWL DL and OWL Lite sub-languages of OWL Web Ontology. It is possible to write ontology with SWRL built-ins in Ontorion Fluent Editor. One of such example of ontology written by using Semantic Web Rule Language is Cognitum's Solar System Ontology.

To follow along open Fluent Editor, go to File -> New and type Solar System. Double click on the template to open.

Example of energy industry ontology with external references in Fluent Editor

Modern energy sector is a wide area of industry, that concerns numerous aspects, like energy efficiency in different regions, renewable energy sources, energy companies' specializations and many others. Due to the variety of information, it is often difficult to get comprehensive answers to questions about specific fields. Semantic Technology allows to manage this knowledge in a simple and flexible way. It provides versatile description of reality, that is understand and can be adjusted to give complete, comprehensive information in chosen areas. This article presents simple ontology written in Fluent Editor, describing energy industry. It contains information about energy companies, regions and ecological aspects of their activities. You can download this sample ontology through the following link: EnergeoOnt.encnl

SKOS and BibTeX in Creating Semantic Ontology on Medical Articles

There are numerous projects that can serve as useful foundations for forming your ontology. One of such projects is Simple Knowledge Organization System (SKOS), a W3C Recommendation.
SKOS provides a standard way to represent knowledge organization systems such as thesauri, classification schemes using the RDF. Another project is BibTeX, a method of marking up bibliographic data, primarily for use in LaTeX documents, but also useful for generic bibliographic storage.

With Fluent Editor, you can utilize both projects through importing them as references, which can be useful for expressing better organization of knowledge. In this post, we will present how SKOS and BibTeX can be utilized in creating your ontology. Data used in the following ontology is based on an excerpt from a list of medical articles on PubMed Central (PMC).

Fluent Editor 2014 R4 – SWRL Built-ins, Auto-recovery Functionality, OWL2 EL++/OWL-RL Validation, and New Features in Ontology Graph.

A new Fluent Editor 2014  R4 is now available which will present you a few new powerful features. With the new Fluent Editor you will be able to utilize core SWRL built-ins, various OWL2 profiles, visualize your ontology file more effectively, and more to benefit while editing and exploring ontology files. Such new feather are as follows :

• SWRL built-ins
• Auto-recovery functionality
• OWL2-EL++ / OWL-RL validation
• New features in ontology diagram
• Various performance improvements

Ask Data Anything

Ask Data Anything is Cognitum's approach to exploring data by using a subset of natural language which articulates concepts and instances modeled in ontologies to provide a meaningful quering experience. Ask Data Anything seizes on regularities of language to provide a natural interpretation of queries being asked; its semantics are provided via R and rOntorion (alternatively  F# and Ontorion).

Technically, Ask Data Anything is capable of performing projection, sub-setting, grouping and aggregation operations, providing answers for queries involving the following information:

• What? Any of the columns of your data table are considered a quantitative field over which to perform queries,
• How? How the output is to be shown. The results of the query can be retrieved on either a table, histogram or a map,
• Where? (Optional) The "in" preposition allows to restrict the search to an specific named group of items  as happens for instance with continents which can be seeing as a group of countries,
• Of? (Optional) The "of" preposition allows to dive into the data, restricting the desired results to a certain set of types (concepts in the Fluent Editor sense) by searching the data in a certain column for instances (in Fluent Editor sense) of those types; we call this material sub-setting,
• By? (Optional) By which type (in Fluent Editor sense) you would like to group the results for aggregation purposes.
• When? (Optional) Queries can contain time constraints.

Fluent Editor's Interoperability with Protégé

Protégé is a great tool for editing ontologies allowing deep insight into the structure of the OWL ontology. Fluent Editor allows user to focus on actual meaning of the ontology (taxonomy, vocabulary, rule set, etc) being edited.
From the R2 release, Fluent Editor enables you to view and build ontology with both applications synchronously, through which you can enjoy those great features of both applications at the same time. This is supported by two related functionalities. -  exporting ontology from one window to the other, or importing ontology from the opened window to your current window. In this post we will look through how you can utilize this feature.


Initial Settings
By default, this interoperability with Protégé is disabled. In order to enable it, first you need to edit settings of the Protégé plug-in on Tab > Options as shown below. Set "Yes" for enabling the plug-in and enter your Protégé path on the bottom.

Using the rOntorion package in R / RStudio and Fluent Editor

The rOntorion package is the port of Cognitum's Semantic Technologies to R. R has become an important tool among Statisticians and Data Scientists and we are proud to provide this community with an enhanced Linked-Data manipulation experience that will allow them to edit, store and reason over structured data (in the supported formats ocnl, rdf and owl); henceforth discovering new horizons in Data Analysis. rOntorion allows to extend Fluent Editor in R and in turn provides the users with the capability of creating their own custom functionality.

rOntorion in R

To demonstrate the use of rOntorion directly from R, let us go through a minimal example. In this example we are going to reason over a set of dummy sentences and infer a single logical conclusion by querying the semantic engine with a question expressed in ocnl format. First we need to install rOntorion: to do so, issue the following command in an R Console:

Fluent Editor 2014 R2 available for download - SPARQL, annotations, R language and more...

Second Release of the Fluent Editor 2014, a comprehensive ontology editor, is available for download now!

What’s new in this release:

• Embedded SPARQL engine
• Materialized Graph insight
• OWL2-RL validation
• OWL Annotations and SKOS
• Protégé interoperability
• R language package
• R language plugins
• Collaborative ontology management with Ontorion
• Custom Reasoners
• Performance improvements

Fluent Editor 2014 R1 available

So here it is: Fluent Editor 2014 R1

You may have noticed that Cognitum recently released a new version of Fluent Editor, a comprehensive ontology editor for OWL and SWRL.

The idea is still the same, but the software has been significantly rebuilt. Thanks to the great feedback from the community and dozens of ontologies both developed with Fluent Editor and reused/"consumed" with it, new version has many features improved to make it easier and more straightforward to work with existing ontologies and create new ones from scratch.

It’s all about productivity and simplicity while creating, editing and consuming ontologies.

New UI

New Fluent Editor cames with new User Interface that make user more familiar with Microsoft Office. The New UI allows for fast opening several ontologies at once, share them easily and navigate through them.

Oncology App - Clinical Decision Support System

Hi, this is Ola form Cognitum. Today I will show you yet another problem which can be solved efficiently by CNL semantic technology.

The problem

Nowadays the medical knowledge is greater than ever. There are official medical guidelines that every doctor is obliged to follow. There are plenty of study cases and a lot of statistical data which help evaluate the probability of successful treatment. Every patient should have right to take advantage of most recent medical research. However, it is hard to do on daily basis. How can the doctor analyze all the books with medical data during patient's visit?

Our solution

Our Oncology Application guides the doctor throughout the patient’s visit. It suggests next steps of the therapy in accordance with up to date medical standards.
When the physician enters the essential information into the application, the system analyzes the clinical situation and tries to generate recommendations for the given condition. The recommendations are in accordance with European Society for Medical Oncology standards. It is the doctor who is still the most important in the decision making process but now he is aided with a professional tool analyzing the wealth of in-depth knowledge amassed in the field of medical oncology.