Paper Title :WEB DATA EXTRACTION FROM MULTIPLE DATA SOURCES USING QUERY FORMULATION LANGUAGE

Author :SHIVANI W. BORLE

Article Citation :SHIVANI W. BORLE , (2014 ) " WEB DATA EXTRACTION FROM MULTIPLE DATA SOURCES USING QUERY FORMULATION LANGUAGE " , International Journal of Advance Computational Engineering and Networking (IJACEN) , pp. 59-62, Volume-2,Issue-3

Abstract : A query formulation language is presented in orderto easily query and blend structured data on the web. The main freshness of this is that it allows people with restricted IT skills to explore and query one (or multiple) data sources without prior knowledge about the schema, structure, terminology, or any technological details of these sources. Data source considered may be either an offline or inline schema. This may need several language-design and performance complication that I basically need to deal with. I select querying RDF, as it is the most primitive data model; Ngram models of Natural Language, used for predicting the class of the words given in the input query. The words of the query may be classified into noun phrase, verbs and adjectives for understanding the context of the query. Using this we can group the query syntactically as well as semantically. The former demonstrates how MashQL can be used to queryand mash up the Data web. To end, I evaluate MashQL on querying two data sets, DBLP and DBPedia, and show that our indexing techniques allow instant user interaction Keywords- Query formulation, semanticdata web, RDF, NLP

Type : Research paper

Published : Volume-2,Issue-3

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