A system and method for NL interactions over heterogeneous data from real time bound systems
Publication Date: 2015-Jan-29
The IP.com Prior Art Database
Natural language queries have been in an active research topic since 1960's. But providing real time cognitive insights for end user queries need techniques for optimizing the transformed query by identifying valid rewriting rules of expressions . This also mandates conforming feasibility of support by leveraging schematic insights of underlying systems. This is required as enterprise infrastructure and physical assets contain rich structured contextual information about their status, contents, and that of users, apps, tasks. Also retrieval of contextual information is must for enriching search accuracy with cognitive systems. In this article, we propose a natural Language based centralized end user portal system that augments IT domain focusing on information access, query, reasoning that enables user driven root cause analysis that span multiple collaborating systems through semantically and structurally inter-related entities. Enabling free text interactions with multiple systems that are bound runtime and contextual aggregation of response from heterogeneous mix of structured and unstructured data using nested ontological models is also proposed.