querying heterogeneous datasets on the linked data web: challenges, approaches, and trends

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Querying Heterogeneous Datasets on the Linked Data Web:

Challenges, Approaches, and Trends

André Freitas, Edward Curry, João G. Oliveira,

Seán O’Riain

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IEEE Internet Computing

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http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6051410&tag=1

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Challenges

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Current Scenario/Ideal Scenario

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Expressivity- usability trade- off

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Challenges

This analysis focuses on the investigation of existing approaches under the perspective of the usability-expressivity trade-off.

This focus guides the categorization and analysis of existing challenges, approaches and trends.

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Challenge Dimensions

Query expressivity Usability Vocabulary-level semantic matching Entity Reconciliation Semantic Tractability mechanisms

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Approaches

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Approaches

Information Retrieval approaches Entity-centric search Structure search

Natural Language approaches Question Answering Semantic best-effort natural language interfaces

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Entity- Centric Search

e.g. Sindice

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Structure Search

e.g. Semplore

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Question Answering

e.g. FreyA

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Semantic Best- Effort/NL

e.g. Treo

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Comparative Analysis (Approaches)

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Trends

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Addressing the Challenges

The functionality analysis of existing approaches provides insights on how the major challenges should be addressed.

This set of strategic functionalities define the set of trends.

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Linked Data Web

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Trends

Complementary Search and Query Services User Interaction and Feedback Mechanisms Semantic Best-Effort Query Model Natural Language Processing Techniques Distributional Semantic Model External Knowledge Sources for Semantic

Enrichment Integrated Entity Reconciliation Techniques

Digital Enterprise Research Institute www.deri.ie

IEEE Internet Computing

Digital Enterprise Research Institute www.deri.ie

http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6051410&tag=1

Digital Enterprise Research Institute www.deri.ie

http://andrefreitas.org