Semantic search



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SEMANTIC SEARCH

  • SEMANTIC SEARCH
  • PRESENTED BY:
  • Group No:13
  • Jai Mashalkar 113050007
  • Khushraj Madnani 113050041
  • Lahari Poddar 113050029
  • SEMANTIC SEARCH
  • Semantic search seeks to improve search accuracy by understanding searcher’s intent and the contextual meaning of terms as they appear in the searchable dataspace, whether on the Web or within a closed system, to generate more relevant results.
  • MOTIVATION FOR SEMANTIC SEARCH
  • SEMANTIC SEARCH TECHNOLOGY
  • Semantically Relatable Sets
  • Query Expansion
  • Relevance Feedback
  • SEMANTICALLY RELATABLE SETS
  • SEMANTICALLY RELATABLE SET
  • A semantically relatable set (SRS) of a sentence is a group of unordered words in the sentence (not necessarily consecutive) that appear in the semantic graph of the sentence as linked nodes.
  • FORMS OF SRS
  • {CW,CW}
  • {CW,FW,CW}
  • {FW,CW}
  • CW: Content Word or Clause
  • FW: Function Words
  • Example: The girl borrowed a book on AI from library.
  • CW: girl, borrowed, book, AI, library
  • FW: the, a, on, from
  • borrowed
  • library
  • book
  • girl
  • AI
  • agent
  • object
  • place
  • a: indefinite
  • from: modifier
  • on: modifier
  • modifier
  • past tense
  • THE GIRL BORROWED A BOOK ON AI FROM LIBRARY
  • Sets Formed:
  • {the,girl}
  • {girl,borrowed}
  • {borrowed,book}
  • {book,on,AI}
  • {borrowed,from,library}
  • {a,book}
  • announced
  • SCOPE
  • professor
  • agent
  • the: definite
  • object
  • that: modifier
  • THE PROFESSOR ANNOUNCED THAT HE WILL CONDUCT AN EXTRA LECTURE ON SUNDAY
  • SCOPE:
  • conduct
  • sunday
  • lecture
  • he
  • extra
  • agent
  • object
  • time
  • on: modifier
  • modifier
  • Will: Future Tense
  • an: indefinite
  • SETS FORMED
  • {the,professor}
  • {professor,announced}
  • {announced.that,SCOPE}
  • SCOPE:{he,conduct}
  • SCOPE:{will,conduct}
  • SCOPE:{conduct,lecture}
  • SCOPE:{conduct,on,sunday}
  • SCOPE:{extra,lecture}
  • SCOPE:{an,lecture}
  • Rq(d) = Relevance of the document d to the query q
  • |Sd| = Number of sentences in the document d
  • rq(s) = Relevance of sentence s to the query q
  • The relevance score for a document d:
  • The relevance of the sentence s to the query q :
  • ANALYSIS OF SRS
  • SRS based search technique gives very high precision value ( the fraction of retrieved instances that are relevant) compared to tf-idf based search.
  • But falls short of tf-idf based search due to its low recall( the fraction of relevant instances that are retrieved).
  • LOW RECALL
  • REASONS:
  • Morphological Divergence
    • Eg: Apparel for man: Clothes for men
  • Synonymy/Hypernymy/Hyponymy Divergence
    • Eg: Color: red/blue
  • Physical Separation Divergence
    • Eg: Book on AI: AI book

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