A New Digital Lifeline
K. JAYAKUMAR
AI models are forced to fill the gaps by guessing when databases fail to maintain properly structured and verified information. Recognizing this KELTRON has developed a comprehensive and scalable Information Disambiguation framework for the government-to-public as well as institutional and business communication.
Google searches for ‘Kalvari Mount Viewpoint in Idukki’, has displayed an unrelated private phone number as the contact information in Google’s Knowledge Graph, a case study reveals. Directions pointed to the wrong location, while an on-site government owned restaurant was not listed at all. The result was a steady stream of confusion among visitors, missed revenue for public services, and a clear example of how unverified online information can erode confidence in official institutions.
Increasingly, people have come to rely not only on traditional search engines but also on the growing wave of Generative AI tools such as ChatGPT, Gemini, and DeepSeek. These platforms promise instant answers in plain language, allowing anyone to ask about anything. Yet, AI systems are not infallible. Another example involved a prominent museum in Thiruvananthapuram, which appeared online with conflicting addresses and duplicate listings that had never been claimed by the authorities. If no one steps forward to claim ownership of these listings, others can take control, modify the information, and redirect public interest elsewhere.
AI models do not possess intrinsic judgment to separate truth from speculation or official data from hearsay. Instead, they aggregate information from countless sources, many of which remain unverified or out of date. When data bases fail to maintain properly structured and verified information, AI models are forced to fill in the blanks by guessing. Sometimes these guesses are harmless approximations. Other times, they create confusion, financial loss, and lasting damage to public trust.
Conversely, when such systems are not maintained, the vacuum is quickly filled by what experts call “astroturfing.” Private interests, competitors, or opportunistic marketers seize the –pace to promote their own services, sometimes even blending or replacing official data.
Powerful, but Prone to Error
This is where Generative AI becomes a double edged sword. Its great strength—summarizing diverse sources into an answer also makes it prone to repeating and spreading misinformation when no authoritative version exists to guide it. Generative AI models produce text that sounds authoritative. For many users, especially those unfamiliar with the nuances of digital sourcing, this creates a false sense of certainty. Generative AI models are designed to break language barriers, serving users who search in multiple languages. If the underlying information is ambiguous, the technology’s power to scale multilingual access only multiplies the problem.
Disambiguation: A Blueprint for Building Trust
This is precisely why the concept of information disambiguation has emerged as an essential safeguard. At its core, information disambiguation refers to clarifying any data that could be interpreted in more than one way. It involves defining exactly what a word, name, address, or identifier refers to and ensuring that digital systems—whether search engines or AI—can connect that information to the right source without ambiguity. Unlike superficial SEO tweaks, true disambiguation involves integrating standardized schema code, verifying knowledge graph profiles, mapping web ontologies, and maintaining consistent metadata.
T his is precisely why the concept of information disambiguation has emerged as an essential safeguard. At its core, information disambiguation refers to clarifying any data that could be interpreted in more than one way. It involves defining exactly what a word, name, address, or identifier refers to and ensuring that digital systems—whether search engines or AI—can connect that information to the right source without ambiguity. Unlike superficial SEO tweaks, true disambiguation involves integrating standardized schema code, verifying knowledge graph profiles, mapping web ontologies, and maintaining consistent metadata. shows verified details: its logo, address, opening hours, collections, popular visiting times, and official website. T his clarity empowers visitors to plan their experience without relying on third-party interpretations.
Action at the Government Level
The urgency of information disambiguation at the Government level cannot be under estimated. The ability to deliver accurate, verified, and consistent information is now a matter of public service. When clarity is missing, misinformation becomes the default, eroding trust, distorting reputations, and diverting revenue away from those who have earned it. Recognizing the challenges posed by misinformation in the age of Generative AI, KELTRON (Kerala State Electronics Development Corporation Ltd.) has proactively developed a comprehensive and scalable Information Disambiguation framework tailored for government to-public (G2P) interactions as well as institutional and business communication.
This solution leverages advanced web standards including JSON-LD, RDFa, microdata schema integration, knowledge graph management, semantic indexing, and web ontology frameworks, ensuring that every unit of official data—whether an address, contact detail, or service description—remain accurate, verifiable, and AI-ready. By implementing this system, departments can safeguard their digital identities, prevent manipulation of public-facing information, and foster greater transparency and trust. “The digital ecosystem has reached a stage where AI-generated answers are often accepted without question,” says KELTRON’s Managing Director Vice Admiral Sreekumar Nair (Retd). “In such an environment, protecting the integrity of official information is the foundation of trust. With our Information Disambiguation platform, KELTRON provides a pioneering solution that aligns Kerala with global best practices in digital governance,” he informs.
The lesson is clear. In the age of instant digital responses, the only way to ensure that your institution, your services, and your reputation remain intact is to make information disambiguation a strategic priority. Whether it is tourism, health, education, or commerce, verified and structured data is no longer optional. It is the new standard that the public expects and the digital world demands. This initiative positions not only as a technology provider but also as a strategic partner in strengthening digital governance and empowering citizens with clear, reliable, and authoritative information across the government sectors.
T he author is an IT consultant