Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: As  move from a b of data to a b of services, enhancing the capabilities of the current b search engines with effective and efficient techniques for b services retrieval and selection becomes an important issue. Traditionally, the relevance of a b service advertisement to a service request is determined by computing an overall score that aggregates individual matching scores among the various parameters in their descriptions. Two drawbacks characterize such approaches. First, there is no single matching criterion that is optimal for determining the similarity beten parameters. Instead, there are numerous approaches ranging from using Information Retrieval similarity metrics up to semantic logic-based inference rules. Second, the reduction of individual scores to an overall similarity leads to significant information loss. Since there is no consensus on how to ight these scores, existing methods are typically pessimistic, adopting a worst-case scenario. As a consequence, several services, e.g., those having a single unrelated parameter, can be excluded from the result set, even though they are potentially good alternatives. In this work,  present a methodology that overcomes both deficiencies. Given a request,  introduce an objective measure that assigns a dominance score to each advertised b service. This score takes into consideration all the available criteria for each parameter in the request.  investigate three distinct definitions of dominance score, and  devise efficient algorithms that retrieve the top- k  most dominant b services in each case. Extensive experimental evaluation on real requests and relevance sets, as ll as on synthetically generated scenarios, demonstrates both the effectiveness of the proposed technique and the efficiency of the algorithms.
['Dimitrios Skoutas', 'Dimitris Sacharidis', 'Alkis Simitsis', 'Verena Kantere', 'Timos K. Sellis']
I am writing a research paper on a idea Top- k dominant web services under multi-criteria matching
[{"from": "human", "value": "I am writing a research paper on a idea Top- k dominant web services under multi-criteria matching"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: As  move from a b of data to a b of services, enhancing the capabilities of the current b search engines with effective and efficient techniques for b services retrieval and selection becomes an important issue. Traditionally, the relevance of a b service advertisement to a service request is determined by computing an overall score that aggregates individual matching scores among the various parameters in their descriptions. Two drawbacks characterize such approaches. First, there is no single matching criterion that is optimal for determining the similarity beten parameters. Instead, there are numerous approaches ranging from using Information Retrieval similarity metrics up to semantic logic-based inference rules. Second, the reduction of individual scores to an overall similarity leads to significant information loss. Since there is no consensus on how to ight these scores, existing methods are typically pessimistic, adopting a worst-case scenario. As a consequence, several services, e.g., those having a single unrelated parameter, can be excluded from the result set, even though they are potentially good alternatives. In this work,  present a methodology that overcomes both deficiencies. Given a request,  introduce an objective measure that assigns a dominance score to each advertised b service. This score takes into consideration all the available criteria for each parameter in the request.  investigate three distinct definitions of dominance score, and  devise efficient algorithms that retrieve the top- k  most dominant b services in each case. Extensive experimental evaluation on real requests and relevance sets, as ll as on synthetically generated scenarios, demonstrates both the effectiveness of the proposed technique and the efficiency of the algorithms."}]