7. Hybrid Ontology for Semantic Information Retrieval Model Using Keyword Matching Indexing System
The difficulty of information storage space and
retrieval has concerned escalating special treatment since 1940. The difficulty
affirms that huge quantities of information to be stored and the relevant
information should be precise. An enormous contract of research work has been completed
to offer speedy and intellectual retrieval methods. To the research concern of
digital libraries, several indeed contain information storage and retrieval
troubles, such as logging and textual penetrating. Conversely, the difficulty
of successful repossession continues mostly vague. Civilizing the usefulness is
a significant ambition for the research of information retrieval system.
Identifying the concepts or effort of the user is the major complicated
obsession for relevant documents searching from a huge amount of information.
For the user using common terms of queries for searching, an information
retrieval system will not provide functional and detailed answers. The domain
information of documents and cognition of the user are thus major for the
retrieval of relevant documents information.
The research on combining the methods of
ontology and information retrieval for semantic web is emerging in recent
times. To explore the relevant information for the users need, a conventional
method is introduced by entrenching ontology into information retrieval. If the
investigated information is enclosed beneath the knowledge domain of user’s
concepts, the motivation increases the probability of relevance. Therefore, the
efficiency possibly enhanced. The challenges of implanting domain knowledge
into information retrieval system are as follows.
(1) What
is the apposite information retrieval model?
(2) How
to execute and build ontology?
(3) How
to discover the relevant documents by ontology?
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