International Conference on Computer and Knowledge Engineering, ICCKE2011 , 2011-10-13

Title : ( Improving Bibliographic Search through Dataset Enrichment Using Linked Data )

Authors: Fattane Zarrinkalam , mohsen kahani ,

Citation: BibTeX | EndNote

Bibliographic search is an important activity every researcher is involved in. Currently, there are different digital libraries that provide a web-based system for bibliographic search. All these systems have the limitation that they are based on using a single local private dataset. This closed-world view over data reduces quality of search results since no single dataset can be regarded as being complete. In this paper an approach is introduced for enriching a local bibliographic dataset with Linked Data sources. The experimental evaluation shows that this Linked Data driven enrichment is effective in terms of improving bibliographic search results.

Keywords

bibliographic search; Linked Data;
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@inproceedings{paperid:1025371,
author = {Zarrinkalam, Fattane and Kahani, Mohsen},
title = {Improving Bibliographic Search through Dataset Enrichment Using Linked Data},
booktitle = {International Conference on Computer and Knowledge Engineering, ICCKE2011},
year = {2011},
location = {مشهد, IRAN},
keywords = {bibliographic search; Linked Data; enrichment},
}

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%0 Conference Proceedings
%T Improving Bibliographic Search through Dataset Enrichment Using Linked Data
%A Zarrinkalam, Fattane
%A Kahani, Mohsen
%J International Conference on Computer and Knowledge Engineering, ICCKE2011
%D 2011

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