Annual Financial Reports are the core in the Banking Sector to publish its financial statistics. Extracting useful information from these complex and lengthy reports involves manual process to resolve the financial queries, resulting in delays and ambiguity in investment decisions. One of the major reasons is the lack of any standardization in the format and vocabulary used in the reports. An automated system for resolution of intelligent financial queries is therefore difficult to design.Several works have been proposed to overcome these problems using Information Extraction; however, they do not address the semantic interoperability of the reports across different institutions. This work proposed an automated querying engine to answer the financial queries using Ontology based Information Extraction. For Semantic modeling of financial reports, a Financial Knowledge Graph, assisted by Financial Ontology, has been proposed. The nodes are populated with entities, while links are populated with relationships using Information Extraction applied on annual reports. Two benefits have been provided by this system to stakeholders through automation: decision making through queries and generation of custom financial stories. The work can further be extended to other domains including healthcare and academia where physical reports are used for communication.

Semantic web is the growing field whose integration with Distributed Information System helps it in gluing technology. The framework of Semantic web deals with the representation, logic, rules and trust. We in this work surveyed the representation aspect of Semantic web by exploring ontologies proposed in various domains in the last three years. We observed that the research trends in semantic web for distributed information system is going in two directions i) theoretical framework ii) development of ontologies across different domains. We limited our work towards the domain of distributed information systems. Several detailed ontologies have been identified that are developed for integration with distributed information system across different domains. We conclude that ontologies need extensive work in its foundation, while more domains should be further explored in the development of robust information system in distributed environment.