Semantic Knowledge Management Framework
Ontorion™ is Distributed Knowledge Management System with
Natural Language interfaces (CNL) and built-in rules engine. It is compatible with
OWL2 and SWRL and can be hosted in Cloud or
On-Premise environment. Ontorion is a family of products – server and client-side components for desktop and web allows for broad integration of custom software and existing corporate infrastructure.
Ontorion is a set of components equipped with algorithms that allows one to build large, scalable solutions for Semantic Web. The scalability is realized by both – noSQL, symmetric database and Ontology Modularization algorithm. Ontorion is a symmetric cluster of servers, able to perform reasoning on large ontologies. Every single Ontorion Node is able to make the same operations on data. It tries to get the minimal suitable ontology module (part) and perform the desirable task on it. Symmetry of Ontorion cluster provides the ability to run it in the “Computing Cloud” environment, where the total number of nodes can change from time to time, depending on the user needs.
- Full OWL2/SWRL support
OWL2 and SWRL implementation. XML/OWL or RDF/XML formats can be imported directly.
- Description Logic engine
OWL-DL (SROIQ) and OWL-EL (EL++) logics are supported.
- OWL API compatible
Full OWL API (v.3) compatibility.
- CNL ready
Controlled Language direct support for English, Polish and other languages.
- Cloud ready
Windows Azure deployment ready with Cassandra clusters. Any cloud IaaS can be supported.
- Automated reasoning
Built-in reasoning service. Both active and pro-active.
- Collaborative Knowledge Editing
This powerful feature allows many end-users to edit stored knowledge simultaneously with well-known update/commit scenario (real-time).
- Innovative modularization algorithm
Instant random access to huge ontologies.
Huge knowledge bases (ontologies) can be processed and accessed. Simply add more clusters to your deployment.
Redundancy of datasets and spatial cluster decomposition.
- Ontology Mapping*
Built-in ontology mapping mechanism.
- Linked Data compatible*
RDF/SPARQL module can boost SPARQL queries against cashed knowledge.
- Solr/Lucene compatible*
Instant access to all names and linked documents. Build instant search apps with semantic enhancement.
- Security and Auditing**
Restrict access on authorisation basis and audit knowledge change history. This feature is under development.
*) these features are available as optional
Symmetric, Large, General Purpose Semantic Knowledge Server and Rule Engine with Natural Language Interface
Ontorion provides the CNL (Controlled Natural Language) interface for both: programmer and end-user (UI). Therefore it can be seen as a tool, which unifies the communication between the humans and the machines involved. Even if the CNL interface is culture specific (localized), the internal representation of knowledge unify them due to use of mathematical logic, therefore allows the multicultural environment to make use of Ontorion via separate CNL interfaces (e.g. English, Spanish, etc.)
Ontorion executes actions each time the proper preconditions are met. The programmer can define the actions, e.g. it raises some alert or produces the input for other subsystems. The action executes on the Ontorion Node that manage the proper part of ontology and tries to do it in the most computationally-effective way.
Ontorion allows due to the CNL interface) to enable constant collaboration of actors involved in the process of knowledge engineering. When an expert specifies her knowledge in CNL, the system supports all other actors with the precise suggestions, alerts.
Ontorion realizes optimistic-concurrency collaboration.
The Common Knowledge Database (Ontorion™-CKD) - a core part of Ontorion™ – is
used to store knowledge in common formal representation. Ontorion™-CKD uses here
Description Logic (DL), a modern offspring of the research into knowledge
representation and reasoning, concretely SROIQ DL, the basis of the semantic web
language OWL2. The mathematical background of various versions of description
logic has been thoroughly investigated and existing research has focused on
defining description logics with useful properties, for instance decidability
and low computational complexity of key reasoning tasks. These properties allow
Ontorion™-CKD to assure the on time delivery of accurate and reliable
information with Automated Reasoning Services (Ontorion™-ARS) and keep
Ontorion™-CKD in the logically coherent form.
Coherent form of Ontorion™-CKD – assured by Ontorion™-ARS - is essential to keep
the optimal organizational culture, as the OntorionTM is the entire time ready to
answer the queries, and never allows one to enter the statement that is not
logically coherent with the rest of the already stored knowledge. This property
forces an increase of organizational culture as a result of both: usage of precise
statements and strictly defined and standardized terminology.
modifying the knowledge in existing IT infrastructure requires – in addition to
the authority – a knowledge engineer who bridges the gap between the natural
language used by the authority and the formal languages needed for the IT tools.
Additionally, there are difficulties in handling cases that are not foreseen by the
current enterprise procedures and structures. Ontorion™ can be easily adapted to
the existing enterprise infrastructure by using Web-Services. Such integration allows
one to verify the formal knowledge in the context of the rest of IT infrastructure
of enterprise, existing processes and internal structures. Even if the amount of
expressiveness is required, representing the knowledge may not be efficient
express informal knowledge. In such case it is possible to use OntorionTM for
semantic description of informal knowledge.
Customers: Any mid- and large-size industry. All
knowledge-driven entities. Public Administration.
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