Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Nowadays, for many retrieval scenarios a strict    query evaluation just returning    a Boolean truth value    is not sufficient    anymore.  often rather need the support of a gradual query    fulfilment expressed by a score value out of the interval [0,1].    ProQua is a new probabilistic database    system which combines such information retrieval    concepts with database technologies. In contrast    to other state-of-the-art probabilistic database    systems ProQua facilitates logic-based     similarity conditions within its SQL-like    query language by a generic similarity operator.    In this work  formalise logic-based scoring functions    as the underlying concept of the supported similarity conditions   and introduce respective evaluation   techniques implemented by relational query plans.   Additionally,  report on their experimental verification    on a probabilistic TPC-H database.
['Sebastian Lehrack', 'Sascha Saretz']
I am writing a research paper on a idea Evaluating Logic-Based Scoring Functions on Uncertain Relational Data
[{"from": "human", "value": "I am writing a research paper on a idea Evaluating Logic-Based Scoring Functions on Uncertain Relational Data"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Nowadays, for many retrieval scenarios a strict  \u00a0 query evaluation just returning  \u00a0 a Boolean truth value \u00a0\u00a0 is not sufficient  \u00a0 anymore.  often rather need the support of a gradual query  \u00a0 fulfilment expressed by a score value out of the interval [0,1].  \u00a0 ProQua is a new probabilistic database  \u00a0 system which combines such information retrieval  \u00a0 concepts with database technologies. In contrast  \u00a0 to other state-of-the-art probabilistic database  \u00a0 systems ProQua facilitates logic-based\u00a0  \u00a0 similarity conditions within its SQL-like  \u00a0 query language by a generic similarity operator.  \u00a0 In this work  formalise logic-based scoring functions  \u00a0 as the underlying concept of the supported similarity conditions \u00a0 and introduce respective evaluation \u00a0 techniques implemented by relational query plans. \u00a0 Additionally,  report on their experimental verification  \u00a0 on a probabilistic TPC-H database."}]