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SemanTex

Emir Muñoz
October 21, 2014

 SemanTex

SemanTex: Semantic Text Exploration Using Document Links Implied by Conceptual Networks Extracted from the Texts, Poster presented in ISWC 2014

Emir Muñoz

October 21, 2014
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  1. Suad Aldarra(FI*1), Emir Muñoz(FI*1), Pierre-Yves Vandenbussche (FI*1), Vít Nováček (Insight*2)
    SemanTex: Semantic Text Exploration Using
    document Links Implied by Conceptual Networks
    Summary
    - Automatic method for computing semantic links between documents
    - Provide the conceptual paths (explanation) between two documents
    - Allow topical navigation within and through documents
    - Application to biomedical literature (PubMed) Parkinson Disease article
    (*1) Fujitsu Ireland Limited (*2) Insight @ NUI Galway
    Method
    1. Noun-Phrase extraction
    (Using Biomedical Named Entity recognition)
    2. Co-occurrence Relationship computation
    (Using Point wise Mutual Information)
    3. Cosine similarity computation
    Implementation and Evaluation
    - Experimentation on 4722 abstracts from PubMed Parkinson disease related articles
    that led to the extraction of 43,362 concepts and 38M paths possible before paths selection
    - Automated evaluation (TREC dataset: doc-doc relationship; MeSH: topical progression)
    - Expert evaluation (Quality of paths selection)
    A B C D
    x
    r
    u
    t
    v
    y
    x
    r
    u
    t
    v
    y
    (A,B)
    (B,C)
    (C,D) (C)
    (D)
    (D)
    A D
    x
    x
    u v y
    r t
    Conceptual Network
    Extraction
    4. Extraction of paths between all nodes
    and between all documents
    (Using path length and product
    of the edges weight threshold)
    5. Multi-objective optimization
    -Complexity
    -Coherence
    -Entropy
    Paths Extraction
    and Selection
    Conceptual Network
    Most relevant Paths from x
    Most relevant Paths between documents A and D
    Application to PubMed abstracts
    Most relevant paths from
    “maternal transmission” concept

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