Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:   introduce an approach to the modelling of conceptual similarity based on domain knowledge and an approach to aggregation to derive object similarity from concept similarity. Domain knowledge is represented in a special, so-called, domain-specific ontology, which basically is a restriction of a general ontology by a collection of domain concepts or a given document collection. Similarity is derived from the domain-specific ontology and two different variants are considered ‐ an un-ighted and a ighted. Aggregation generalize from concept to object similarity and may be applied in text retrieval to derive ansrs by comparing query objects with text objects in the base.
['Troels Andreasen', 'Rasmus Knappe', 'Henrik Bulskov']
I am writing a research paper on a idea On Retrieval Guided By Extracted Domain-Specific Knowledge
[{"from": "human", "value": "I am writing a research paper on a idea On Retrieval Guided By Extracted Domain-Specific Knowledge"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:   introduce an approach to the modelling of conceptual similarity based on domain knowledge and an approach to aggregation to derive object similarity from concept similarity. Domain knowledge is represented in a special, so-called, domain-specific ontology, which basically is a restriction of a general ontology by a collection of domain concepts or a given document collection. Similarity is derived from the domain-specific ontology and two different variants are considered \u2010 an un-ighted and a ighted. Aggregation generalize from concept to object similarity and may be applied in text retrieval to derive ansrs by comparing query objects with text objects in the base."}]