Details
| Original language | English |
|---|---|
| Title of host publication | 2017 ACM/IEEE Joint Conference on Digital Libraries, JCDL 2017 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (electronic) | 9781538638613 |
| Publication status | Published - Jul 2017 |
| Event | 17th ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL) - Toronto, Canada Duration: 19 Jun 2017 → 23 Jun 2017 |
Publication series
| Name | Proceedings of the ACM/IEEE Joint Conference on Digital Libraries |
|---|---|
| ISSN (Print) | 1552-5996 |
Abstract
Archived collections of documents (like newspaper archives) serve as important information sources for historians, journalists, sociologists and other interested parties. Semantic Layers over such digital archives allow describing and publishing metadata and semantic information about the archived documents in a standard format (RDF), which in turn can be queried through a structured query language (e.g., SPARQL). This enables to run advanced queries by combining metadata of the documents (like publication date) and content-based semantic information (like entities mentioned in the documents). However, the results returned by structured queries can be numerous and also they all equally match the query. Thus, there is the need to rank these results in order to promote the most important ones. In this paper, we focus on this problem and propose a ranking model that considers and combines: i) the relativeness of documents to entities, ii) the timeliness of documents, and iii) the relations among the entities.
ASJC Scopus subject areas
- Engineering(all)
- General Engineering
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2017 ACM/IEEE Joint Conference on Digital Libraries, JCDL 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 7991617 (Proceedings of the ACM/IEEE Joint Conference on Digital Libraries).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Towards a Ranking Model for Semantic Layers over Digital Archives
AU - Fafalios, Pavlos
AU - Kasturia, Vaibhav
AU - Nejdl, Wolfgang
N1 - Funding information:. The work was partially funded by the European Commission for the ERC Advanced Grant ALEXANDRIA (No. 339233).
PY - 2017/7
Y1 - 2017/7
N2 - Archived collections of documents (like newspaper archives) serve as important information sources for historians, journalists, sociologists and other interested parties. Semantic Layers over such digital archives allow describing and publishing metadata and semantic information about the archived documents in a standard format (RDF), which in turn can be queried through a structured query language (e.g., SPARQL). This enables to run advanced queries by combining metadata of the documents (like publication date) and content-based semantic information (like entities mentioned in the documents). However, the results returned by structured queries can be numerous and also they all equally match the query. Thus, there is the need to rank these results in order to promote the most important ones. In this paper, we focus on this problem and propose a ranking model that considers and combines: i) the relativeness of documents to entities, ii) the timeliness of documents, and iii) the relations among the entities.
AB - Archived collections of documents (like newspaper archives) serve as important information sources for historians, journalists, sociologists and other interested parties. Semantic Layers over such digital archives allow describing and publishing metadata and semantic information about the archived documents in a standard format (RDF), which in turn can be queried through a structured query language (e.g., SPARQL). This enables to run advanced queries by combining metadata of the documents (like publication date) and content-based semantic information (like entities mentioned in the documents). However, the results returned by structured queries can be numerous and also they all equally match the query. Thus, there is the need to rank these results in order to promote the most important ones. In this paper, we focus on this problem and propose a ranking model that considers and combines: i) the relativeness of documents to entities, ii) the timeliness of documents, and iii) the relations among the entities.
UR - http://www.scopus.com/inward/record.url?scp=85028015395&partnerID=8YFLogxK
U2 - 10.1109/JCDL.2017.7991617
DO - 10.1109/JCDL.2017.7991617
M3 - Conference contribution
AN - SCOPUS:85028015395
T3 - Proceedings of the ACM/IEEE Joint Conference on Digital Libraries
BT - 2017 ACM/IEEE Joint Conference on Digital Libraries, JCDL 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 17th ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL)
Y2 - 19 June 2017 through 23 June 2017
ER -