(28th-March-2020)
In part two or knowledge retrieval module different people like family members, friends or general public would ask different questions from the uploaded knowledge of a person in his absence in order to get this person’s opinion regarding these questions. In order to achieve this the questioner will record his query first. Later on using the procedure already discussed this query will be converted into text. Next we will determine whether the query is personal or general purpose. Suppose the query is general purpose then we will retrieve every general purpose speech text of the person whose knowledge is already uploaded and then apply semantic similarity on the speech text and the questioner query text. The speech text for which we have the maximum similarity score will be returned as the answer. Similar pattern will follow for personal type query. This completes part two of the proposed architecture. Fig can be referred for a screenshot of the knowledge retrieval demo application.
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