input: [0] 14:45 [1] Dave Jessop [2] 
output: Semantic Analysis of Chemical Patents Abstract Chemical patents are a rich source of technical and scientific information. They include meta−data, such as bibliographic information, as well as scientific data relating to reactions and synthesis experiments. However, they are lengthy, largely unstructured and rich in technical terminology such that it takes a signification amount of human efforts for analyses. This would make them an ideal candidate for 'semantification'. As a demonstration, an RDF triplestore of chemical patents is created. The patents, provided by the European Patent Office, are in an XML format. Document segmentation is used initially to extract the relevant information, mainly bibliographic information and experimental paragraphs. The experimental paragraphs are then processed using Natural Language Processing tools to extract the various components of the chemical reaction; roles, such as reactant, product or solvent, are then assigned. This extracted information is then converted into RDF and stored in a triplestore where it can then be queried, visualised and basic inferences can be made.The ultimate goal of this semantic representation, is to make data available and re−usable by the scientific community. PDF