The Knowledge and Meta Knowledge Representation Framework for Context based Searching for Lyric Writing in Telugu

Representation of knowledge and Meta knowledge plays a key role in context based searching. Recent advances in computational Linguistics and natural processing has brought linguistic formalism closer to the knowledge representation (KR). The techniques used in artificial Intelligence (AI) to represent knowledge, can be used successfully in computational linguistics in representing the grammar and other language and its literary requirements. Other areas where KR can be used in computational linguistics are common sense language, and default reasoning. In this paper the Knowledge representation related to the grammatical and Chandasu and Alankara Sastra related knowledge used in Telugu literature is explained. The paper discusses what kind of knowledge related information has to be represented, how the subject issues are represented, how they are related to each other and how reasoning is generated from this knowledge, using Meta knowledge related to this knowledge. In context based searching related to Telugu lyric the most important task is selecting the set of right words, the knowledge data base short lists these words, and aids in giving suggestions. Knowledge representation is one of the central and crucial parts for context based searching for word suggestion. The knowledge has to be organized based on purpose it will be used. Based on different types of knowledge forms, each form requires different kinds of representation. The Knowledge Representation models/mechanisms are often based on, logic, rules, Frames, Semantic Nets etc. Different types of knowledge require different kinds of reasoning. For context based searching used for lyric writing, the knowledge related to grammar and chandasu has to be represented for suggesting the right word suitable for the context. The lexical knowledge adds more connotations to the problem. The synonyms, thesaurus, the relationship of a word with other words, parts of speech etc. , have to be taken into consideration to this problem of context based search. In this paper, we shall describe the knowledge and Meta knowledge representations done for context based searching.