Semantic Ontologies for Organizational Success

Web Application

Utilizing Ontologies from various domains like Healthcase (SNOMED CT, MeSH etc), Finance(OCEAN, FIBO etc) towards making smarter decisions.

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The Semantic Web represents a revolutionary extension of the conventional web. It goes beyond mere text and hyperlinks, aiming to establish comprehension, interpretation, and connectivity. By enabling computers to grasp data’s significance, the Semantic Web empowers them to navigate intricate relationships and derive insightful conclusions. In an age of information overload, the Semantic Web emerges as a guide, infusing data with meaning, context, and intelligence.

Major Ontologies in Various Domains



Major Ontologies

General Purpose

DCMI – Dublin Core Metadata Initiative

Dublin Core Terms

FOAF – Friend of a Friend



SNOMED CT – Systemized Nomenclature of Medicine – Clinical Terms

MeSH – Medical Subject Headings

GO – Gene Ontology

CDISC – Clinical Data Interchange Standard Consortium

DO – Human Disease Ontology


ChEBI – Chemical Entities of Biological Interest


PharmGKB – Pharmacogenomics Knowledge Base

DrOn – Drug Ontology

OAE – Ontology of Adverse Events

OBI – Ontology of Biomedical Investigations


FIBO – Financial Industry Business Ontology

ECO – Economics Core Ontology

OCEAN – Ontology for Consumer Economics and Social Benefits


At Dexlock, we specialize in harnessing the potential of the Semantic Web to drive innovation and efficiency. Some of the services we offer include

  1. Ontology Development: Our approach to ontology development is rooted in a strategic blend of expertise and innovation. Starting with a thorough understanding of the customer’s business domain, our dedicated team collaborates closely with subject matter experts to gather and analyze data. Using top-tier tools like Protégé , we create a structured knowledge representation by modeling concepts, relationships, and attributes. Rigorous validation and iterative refinement ensure accuracy and relevance to the ever-changing industry landscape.
  2. Knowledge Graph Creation: Design and develop knowledge graphs that connect entities, concepts, and relationships to provide a holistic view of information and support advanced analytics.
  3. Data Integration and Interoperability: Assist customers in integrating heterogeneous data sources by mapping them to a unified ontology, enabling seamless data exchange and interoperability. 
  4. Information Retrieval and Search Optimization: Implement semantic search solutions that leverage ontologies and linked data to enhance search accuracy, context understanding, and relevant result retrieval.
  5. Data Enrichment and Annotation: Offer services to enrich existing datasets with semantic annotations, making them more valuable for advanced data analytics and processing.
  6. Reasoning: Semantic Web applications often involve drawing logical inferences from the represented data. Our team employs advanced reasoners like HermiT or Pellet to explore these inferences. By utilizing reasoning engines, we uncover implicit relationships and derive new knowledge from the existing ontology. This process not only enhances the ontology’s completeness but also validates the consistency of the represented information.
Use Cases

The applications of Semantic Web technology are diverse and impactful. From streamlining business processes to enhancing user experiences, Semantic Web offers solutions across various domains:

  1. Pharmaceutical Industry: One of our customers in the pharmaceutical industry had to digitize their monographs. We built an NLP engine to extract information from these monographs and did semantic enrichment of these monographs using Allotrope Foundation Ontology, which helps in enhanced understanding, interoperability, data integration, improved search and discovery.
  2. Entertainment: We have built a data-centric community-oriented solution for managing event information intended for calendars and listing sites. Designed to support people working together to promote events, it makes collaboration easier, simplifies the process of adding events from different sources and improves discoverability. The product automatically transforms unstructured information about events, places, organizations and people, into entities. These entities are shared with Artsdata, the canadian national knowledge graph for arts, so that it is available for reuse for anyone. 
  3. Aid Research in Pharmaceutical Industry : We worked with a pharmaceutical company to build 20+ ontologies to support their research. We used public ontolgies like Ensembl, Eberon, NCIT, CHEBI etc. These ontologies are used for Drug Discovery, to build controlled vocabulary for the web applications etc.
  4. Healthcare: In the healthcare sector, the Semantic Web’s integration and analysis of medical data from diverse sources lead to improved patient care. It facilitates comprehensive insights into patient history, treatment options, and research findings. This knowledge integration empowers healthcare professionals to make well-informed decisions, ultimately enhancing patient outcomes.
  5. Content Recommendation: The Semantic Web transforms content delivery by analyzing user interests and context. By understanding the relationships between different pieces of content and user preferences, it delivers more relevant and tailored information to users. This content personalization increases user engagement and satisfaction across various platforms.
Major Ontologies in Various Domains

We use openly accessible Ontologies as the building blocks for developing new ones. A few of them are listed below

  1. FOAF (Friend of a Friend): FOAF focuses on describing people, their relationships, and social networks. It enables the Semantic Web to capture the intricate web of connections between individuals, facilitating social interactions and networking in digital spaces.
  2. SKOS (Simple Knowledge Organization System): SKOS plays a crucial role in expressing thesaurus, classifications, and taxonomies. It ensures that concepts and terms are organized in a structured manner, enhancing data organization and retrieval processes.
  3. Dublin Core: Dublin Core defines essential metadata elements for describing digital resources. This ontology enhances the discoverability and interoperability of digital content, ensuring that information is organized and accessible across various platforms.
  4. SIOC (Semantically-Interlinked Online Communities): SIOC is dedicated to representing online community information and interactions. By understanding the relationships within online communities, SIOC fosters collaboration, content sharing, and engagement among users.
  5. DBPedia Ontology: An ontology derived from structured data extracted from Wikipedia, providing structured knowledge about topics covered in Wikipedia.

We leverage the below technologies to develop and manage semantic applications.

  1. RDF (Resource Description Framework): Forms the foundation for representing knowledge in a graph-based format.
  2. OWL(Web Ontology Language) : A language for creating formal ontologies that define concepts, relationships, and constraints within a domain.
  3. SPARQL (SPARQL Protocol and RDF Query Language): A query language and protocol for querying and manipulating RDF data, enabling powerful data retrieval and manipulation.
  4. Jena: A Java framework for building Semantic Web and Linked Data applications.
  5. Databases: Virtuoso, Allegrograph, GraphDB, StarDog
Navigating the Future

As we navigate the ever-evolving landscape of technology, the Semantic Web shines as a beacon of innovation. It’s not just about creating smarter algorithms; it’s about imbuing technology with human-like understanding. Join us as we embark on a journey to tap into the true potential of the Semantic Web, where data isn’t just data – it’s knowledge, intelligence, and a pathway to the future

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