Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Nowadays, people frequently use different keyword-based b search engines to find the information they need on the b. Hover, many words are polysemous and, when these words are used to query a search engine, its output usually includes links to b pages referring to their different meanings. Besides, results with different meanings are mixed up, which makes the task of finding the relevant information difficult for the users, especially if the user-intended meanings behind the input keywords are not among the most popular on the b. ,  propose a set of semantics techniques to group the results provided by a traditional search engine into categories defined by the different meanings of the input keywords. Differently from other proposals, our method considers the knowledge provided by ontologies available on the b in order to dynamically define the possible categories. Thus, it is independent of the sources providing the results that must be grouped. Our experimental results show the interest of the proposal.
['Raquel Trillo', 'Laura Po', 'Sergio Ilarri', 'Sonia Bergamaschi', 'Eduardo Mena']
I am writing a research paper on a idea Using semantic techniques to access web data
[{"from": "human", "value": "I am writing a research paper on a idea Using semantic techniques to access web 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, people frequently use different keyword-based b search engines to find the information they need on the b. Hover, many words are polysemous and, when these words are used to query a search engine, its output usually includes links to b pages referring to their different meanings. Besides, results with different meanings are mixed up, which makes the task of finding the relevant information difficult for the users, especially if the user-intended meanings behind the input keywords are not among the most popular on the b. ,  propose a set of semantics techniques to group the results provided by a traditional search engine into categories defined by the different meanings of the input keywords. Differently from other proposals, our method considers the knowledge provided by ontologies available on the b in order to dynamically define the possible categories. Thus, it is independent of the sources providing the results that must be grouped. Our experimental results show the interest of the proposal."}]