Abstrakt

Entity Disambiguation for Comparable Entity Mining Using MLN

S.Deepa , S.Vasumathi Kannagi , K.P Porkodi

Comparing alternative options is one essential step in decision-makings that we carry out every step of the existing method. itdoes not mine rare patterns, the entity disambiguity problem is occurs. to over come these use the Markov Logic Network (MLN) a joint model which combines first order logic (FOL) and Markov networks.The model achieves the contextual information of the recognized entities for entity disambiguation as well as the constraints when linking an entity. Proposed MLN which is the combination of first order logic (FOL) and Markov networks with combination of NIL-filtering and entity disambiguation stages. For entity disambiguation problem the representation capture the entity information from background knowledge with familiar entities as well as the constraints while connecting an entity.