Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The increasing amount of information that is annotated against standardised semantic resources offers opportunities to incorporate sophisticated levels of reasoning, or inference, into the retrieval process. In this position paper,  reflect on the need to incorporate semantic inference into retrieval (in particular for medical information retrieval) as ll as previous attempts that have been made so far with mixed success. Medical information retrieval is a fertile ground for testing inference mechanisms to augment retrieval. The medical domain offers a plethora of carefully curated, structured, semantic resources, along with ll established entity extraction and linking tools, and search topics that intuitively require a number of different inferential processes (e.g., conceptual similarity, conceptual implication, etc.).  argue that integrating semantic inference in information retrieval has the potential to uncover a large amount of information that otherwise would be inaccessible; but inference is also risky and, if not used cautiously, can harm retrieval.
['Guido Zuccon', 'Bevan Koopman', 'Peter D. Bruza']
I am writing a research paper on a idea Exploiting Inference from Semantic Annotations for Information Retrieval: Reflections From Medical IR
[{"from": "human", "value": "I am writing a research paper on a idea Exploiting Inference from Semantic Annotations for Information Retrieval: Reflections From Medical IR"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The increasing amount of information that is annotated against standardised semantic resources offers opportunities to incorporate sophisticated levels of reasoning, or inference, into the retrieval process. In this position paper,  reflect on the need to incorporate semantic inference into retrieval (in particular for medical information retrieval) as ll as previous attempts that have been made so far with mixed success. Medical information retrieval is a fertile ground for testing inference mechanisms to augment retrieval. The medical domain offers a plethora of carefully curated, structured, semantic resources, along with ll established entity extraction and linking tools, and search topics that intuitively require a number of different inferential processes (e.g., conceptual similarity, conceptual implication, etc.).  argue that integrating semantic inference in information retrieval has the potential to uncover a large amount of information that otherwise would be inaccessible; but inference is also risky and, if not used cautiously, can harm retrieval."}]