Linguistic Model Propositions for Poetry Retrieval in Web Search

The paper investigates the linguistic models for poetry retrieval purposes and raises the importance of access to advanced exploratory search engines, which, according to the Maslow’s hierarchical pyramid of needs, address the needs of higher order associated with self-fulfilment and satisfaction of informational-cognitive aesthetic ambitions of non-verbal transmission. This task statement is formulated in the context of a new scientific discipline – cognitonics. The work focuses on filling the information needs of sublime poetry as a form of structurally categorized pattern, which is an important indicator to determine the search methods of poetry based on adaptation of linguistic models. The issues addressed refer to probabilistic models that allow for predicting the occurrence of words in a sentence on the basis of distance functions relatively to similarity of words and phrases, as well as by k-nearest neighbours strategy, and frequency of words relatively to rankings. Moreover, the paper aims at showing the optimal performance of linguistic models in search of the most effective methods of poetry retrieval. During these searches, the relevant information retrieval models reveal their role in terms of new opportunities for Internet search engines into the formative process of education and creation. Accordingly, the paper attempts to explore ways of increasing web-search efficiency to make future research flexible, yet precise, in interpretation of queries.