Ignore:
Timestamp:
03/10/13 21:06:32 (11 years ago)
Author:
vronk
Message:

mostly outsourcing individual chapters to separate tex-files

File:
1 edited

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  • SMC4LRT/Introduction.tex

    r2669 r2671  
    66
    77This work proposes a component that shall enhance search functionality over a \emph{large heterogeneous collection of metadata descriptions} of Language Resources and Technology (LRT). By applying semantic web technology the user shall be given both better recall through \emph{query expansion} based on related categories/concepts and new means of \emph{exploring the dataset} via ontology-driven browsing.
     8
     9Alternatively/  that allows query expansion by providing mappings between search indexes. This enables semantic search, ultimately increasing the recall when searching in metadata collections. The module builds on the Data Category Registry and Component Metadata Framework that are part of CMDI.
     10
    811
    912Following two examples for better illustration. First a concept-based query expansion:
     
    2730ones. These will then be used in the exercise of mapping the literal values in the by then RDF-converted metadata descriptions onto externally defined entities, with the goal of interlinking the dataset with external resources (see \textit{Linked Data} in \ref{SotA}).
    2831
    29 Finally in a prototypical implementation of the two components we want to deliver a proof of the concept, supported by an evaluation
     32Finally, in a prototypical implementation of the two components we want to deliver a proof of the concept, supported by an evaluation
    3033in which we apply a set of  test queries and compare a traditional search with a semantically expanded query in terms of recall/precision indicators. A separate evaluation of the usability of the Semantic Search component  is indicated, however this issue can only be tackled marginally and will have to be outsourced into future work.
    3134
     
    6063
    6164Ontology Visualization
    62 
    63 Federated Search, Distributed Content Search
    64 (ILS - Integrated Library Systems)
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