Searching and Ranking Documents based on Semantic Relationships, Boanerges Aleman-Meza, ICDE Ph.D. Workshop 2006
Searching and Ranking Documents based on Semantic Relationships
Paper presentation
ICDE Ph.D. Workshop 2006
April 3rd, 2006, Atlanta, GA, USA
This work is funded by NSF-ITR-IDM Award#0325464 titled ''SemDIS: Discovering Complex Relationships in the Semantic Web' and NSF-ITR-IDM Award#0219649 titled 'Semantic Association Identification and Knowledge Discovery for National Security Applications.'
Boanerges Aleman-Meza
LSDIS lab, Computer Science, University of Georgia
Outline
Research Problem
Proposed Solution
Preliminary Results
Outstanding Future Work
Conclusions and Future work
Today's use of Relationships (for web search)
'href' relationships between documents
documents as a whole
No explicit relationships are used
other than co-occurrence
Implicit semantics
such as page importance
(some content from www.wikipedia.org)
But, more relationships are available
Documents are connected through concepts & relationships
i.e., MREF [SS'98]
Named-entities can be identified
with respect to existing data, such as ontologies
(some content from www.wikipedia.org)
Complex Relationships
People will use Web search not only for documents, but also for information about semantic relationships [SFJMC'02]
Relationships play an important role in the continuing evolution of the Web [SAK'03]
Complex Relationships
Semantic Relationships: named-relationships connecting information items
their semantic 'type' is defined in an ontology
go beyond 'is-a' relationship (i.e., class membership)
Have gained interest in the Semantic Web
operators "semantic associations" [AS'03]
discovery and ranking [AHAS'03, AHARS'05, AMS'05]
Relevant in emerging applications:

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