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Matching large ontologies: A divide-and-conquer approach
TLDR
We propose a structure-based partitioning algorithm, which partitions entities of each ontology into a set of small clusters and constructs blocks by assigning RDF Sentences. Expand
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FalconAO: Aligning Ontologies with Falcon
TLDR
In this paper, we describe the architecture and techniques of Falcon-AO in brief and present our results. Expand
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Constructing virtual documents for ontology matching
TLDR
We propose a new idea of virtual documents to pursue a cost-effective approach to linguistic matching in ontology matching in this paper. Expand
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Ontology summarization based on rdf sentence graph
TLDR
We study extractive summarization of ontology by extracting a set of salient RDF sentences according to a re-ranking strategy. Expand
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Searching Linked Objects with Falcons: Approach, Implementation and Evaluation
TLDR
We present Linked Object Search, a keyword-based search engine for linked objects. Expand
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RELIN: Relatedness and Informativeness-Based Centrality for Entity Summarization
TLDR
We propose RELIN, a variant of the random surfer model that leverages the relatedness and informativeness of description elements for ranking. Expand
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Falcons: searching and browsing entities on the semantic web
As of today, the amount of data on the Semantic Web has grown considerably. The services for searching and browsing entities on the Semantic Web are in demand. To provide such services, we developedExpand
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Gleaning Types for Literals in RDF Triples with Application to Entity Summarization
TLDR
We show the usefulness of generated types by utilizing them to group facts on the basis of their semantics in computing diversified entity summaries by extending a state-of-the-art summarization algorithm. Expand
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The Results of Falcon-AO in the OAEI 2006 Campaign
TLDR
In this paper, we briefly introduce the architecture of Falcon-AO (version 0.6) and highlight two major improvements in the current version. Expand
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Explass: Exploring Associations between Entities via Top-K Ontological Patterns and Facets
TLDR
We propose an approach to exploratory association search, called Explass, which provides a flat list (top-K) of clusters and facet values for refocusing and refining the search. Expand
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