Binary Information Press
In this paper, the authors present ARSSearch, a semantic search engine for the annual reports which is to provide more relevant information and knowledge on demand based on the deep understanding of user's intent and semantic data. They present the software architecture of the system; the heart of their search engine is the annotation of the annual reports based on the domain ontology and the inference ability to infer new knowledge. They use NLP techniques to generate semantic annotations for texts and tabular information of annual reports. By combining the resource with reasoning, the search engine can support the inference of the annual reports information.