Domain-Focused Linked Data Crawling Driven by a Semantically Defined Frontier - A Cultural Heritage Case Study in Europeana

[1]  Samita Bai,et al.  A framework for focused linked data crawler using context graphs , 2015, 2015 International Conference on Information and Communication Technologies (ICICT).

[2]  Jürgen Umbrich,et al.  LDspider: An Open-source Crawling Framework for the Web of Linked Data , 2010, SEMWEB.

[3]  Mohsen Kahani,et al.  A focused linked data crawler based on HTML link analysis , 2014, 2014 4th International Conference on Computer and Knowledge Engineering (ICCKE).

[4]  Martin van den Berg,et al.  Focused Crawling: A New Approach to Topic-Specific Web Resource Discovery , 1999, Comput. Networks.

[5]  Hema Banati,et al.  A Multi-Threaded Semantic Focused Crawler , 2012, Journal of Computer Science and Technology.

[6]  Olfa Nasraoui,et al.  Web Usage Mining , 2011 .

[7]  Bing Liu,et al.  Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data , 2006, Data-Centric Systems and Applications.

[8]  Antoine Isaac,et al.  Aggregation of Linked Data : A case study in the cultural heritage domain , 2018, 2018 IEEE International Conference on Big Data (Big Data).

[9]  Antoine Isaac,et al.  Evaluation of Schema.org for Aggregation of Cultural Heritage Metadata , 2018, ESWC.

[10]  Marco A. Casanova,et al.  CRAWLER-LD: A Multilevel Metadata Focused Crawler Framework for Linked Data , 2014, ICEIS.

[11]  Nuno Freire,et al.  Aggregation of Linked Data in the Cultural Heritage Domain: A Case Study in the Europeana Network , 2019, Inf..

[12]  Antoine Isaac,et al.  Recommendations for the application of Schema.org to aggregated Cultural Heritage metadata to increase relevance and visibility to search engines: the case of Europeana , 2017 .