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Crossing the Vocabulary Gap for Querying Complex and Heterogeneous Databases
 

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Crossing the Vocabulary Gap for Querying Complex and Heterogeneous Databases: A Distributional-Compositional Semantics Perspective

Crossing the Vocabulary Gap for Querying Complex and Heterogeneous Databases: A Distributional-Compositional Semantics Perspective

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Crossing the Vocabulary Gap for Querying Complex and Heterogeneous Databases Crossing the Vocabulary Gap for Querying Complex and Heterogeneous Databases Presentation Transcript

  • © Copyright 2009 Digital Enterprise Research Institute. All rights reserved. Digital Enterprise Research Institute www.deri.ie Crossing the Vocabulary Gap for Querying Complex and Heterogeneous Databases: A Distributional-Compositional Semantics Perspective André Freitas, Sean O’Riain, Edward Curry DEOS 2013, Oxford, UK
  • Digital Enterprise Research Institute www.deri.ie Big Data  Big Data: More complete data-based picture of the world.
  • Digital Enterprise Research Institute www.deri.ie Growing Schema Size 10s-100s attributes 1,000s-1,000,000s attributes  Heterogeneous, complex and large-scale databases.  Very-large and dynamic “schemas”.
  • Digital Enterprise Research Institute www.deri.ie Growing Semantic Heterogeneity  Multiple perspectives (conceptualizations) of the reality.  Ambiguity, vagueness, inconsitency.
  • Digital Enterprise Research Institute www.deri.ie Problem  Structured queries are still the primary way to query databases.
  • Digital Enterprise Research Institute www.deri.ie Structured query Schema size & heterogeneity Query construction time HighLow High Low 10-100s attributes 103 -106 s attributes
  • Digital Enterprise Research Institute www.deri.ie Vocabulary Problem for Databases Who is the daughter of Bill Clinton married to? Schema-agnostic queries Possible representations
  • Digital Enterprise Research Institute www.deri.ie Vocabulary Problem for Databases Who is the daughter of Bill Clinton married to ? Semantic Gap Lexical-level Abstraction-level Structural-level
  • Digital Enterprise Research Institute www.deri.ie Vocabulary Problem for Databases Who is the daughter of Bill Clinton married to ? Semantic Gap Lexical-level Abstraction-level Structural-level Query: Data
  • Digital Enterprise Research Institute www.deri.ie Solution: Schema-agnostic queries Lexical-level Abstraction-level Structural-level Distributional Semantics Compositional Semantics Based on the statistical analysis of large unstructured corpora Query Processing and Planning
  • Digital Enterprise Research Institute www.deri.ie Statistical analysis Datasets
  • Digital Enterprise Research Institute www.deri.ie Statistical analysis Datasets
  • Digital Enterprise Research Institute www.deri.ie Core Elements of the Proposed Approach  Hybrid model database/IR/QA.  Ranked query results.  Existing IR approaches: traditional Vector Space Models (VSMs) were not able to:  (i) capture the structure of data.  (ii) support a precise and comprehensive semantic matching.  A VSM supporting these two requirements was formulated: Ƭ-Space.  Ranking function based on a distributional semantic relatedness measure.
  • Digital Enterprise Research Institute www.deri.ie Does it work?  DBpedia 3.7 + YAGO.  102 natural language queries (QALD 2011). Entity-Attribute-Value (EAV) Dataset: 45,767 predicates 5,556,492 classes 9,434,677 instances
  • Digital Enterprise Research Institute www.deri.ie
  • Digital Enterprise Research Institute www.deri.ie
  • Digital Enterprise Research Institute www.deri.ie
  • Digital Enterprise Research Institute www.deri.ie Selected Publications André Freitas, Edward Curry, João Gabriel Oliveira, João C. Pereira da Silva, Sean O'Riain, Querying the Semantic Web using Semantic Relatedness: A Vocabulary Independent Approach. Data & Knowledge Engineering (DKE) Journal, 2013. (Article).   André Freitas, Fabricio de Faria, Sean O'Riain, Edward Curry, Answering Natural Language Queries over Linked Data Graphs: A Distributional Semantics Approach, In Proceedings of the 36th Annual ACM SIGIR Conference, Dublin, Ireland, 2013. (Demonstration Paper in Proceedings). André Freitas, Edward Curry, João Gabriel Oliveira, Sean O'Riain, Querying Heterogeneous Datasets on the Linked Data Web: Challenges, Approaches and Trends. IEEE Internet Computing, Special Issue on Internet-Scale Data, 2012 (Article). André Freitas, Edward Curry, João Gabriel Oliveira, Sean O'Riain, A Distributional Structured Semantic Space for Querying RDF Graph Data. International Journal of Semantic Computing (IJSC), 2012 (Article).  
  • Digital Enterprise Research Institute www.deri.ie http://treo.deri.ie