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 - 25 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
Web archiving is the process of collecting portions of the Web to ensure that the information is preserved for future exploitation. However, despite the increasing number of web archives worldwide, the absence of efficient and meaningful exploration methods still remains a major hurdle in the way of turning them into a usable and useful information source. In this paper, we focus on this problem and propose an RDF/S model and a distributed framework for building semantic profiles (layers) that describe semantic information about the contents of web archives. A semantic layer allows describing metadata information about the archived documents, annotating them with useful semantic information (like entities, concepts and events), and publishing all this data on the Web as Linked Data. Such structured repositories offer advanced query and integration capabilities and make web archives directly exploitable by other systems and tools. To demonstrate their query capabilities, we build and query semantic layers for three different types of web archives. An experimental evaluation showed that a semantic layer can answer information needs that existing keyword-based systems are not able to sufficiently satisfy.
ASJC Scopus subject areas
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2017 ACM/IEEE Joint Conference on Digital Libraries, JCDL 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 7991555 (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 - Building and Querying Semantic Layers for Web Archives
AU - Fafalios, Pavlos
AU - Holzmann, Helge
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 - 2017/7/25
Y1 - 2017/7/25
N2 - Web archiving is the process of collecting portions of the Web to ensure that the information is preserved for future exploitation. However, despite the increasing number of web archives worldwide, the absence of efficient and meaningful exploration methods still remains a major hurdle in the way of turning them into a usable and useful information source. In this paper, we focus on this problem and propose an RDF/S model and a distributed framework for building semantic profiles (layers) that describe semantic information about the contents of web archives. A semantic layer allows describing metadata information about the archived documents, annotating them with useful semantic information (like entities, concepts and events), and publishing all this data on the Web as Linked Data. Such structured repositories offer advanced query and integration capabilities and make web archives directly exploitable by other systems and tools. To demonstrate their query capabilities, we build and query semantic layers for three different types of web archives. An experimental evaluation showed that a semantic layer can answer information needs that existing keyword-based systems are not able to sufficiently satisfy.
AB - Web archiving is the process of collecting portions of the Web to ensure that the information is preserved for future exploitation. However, despite the increasing number of web archives worldwide, the absence of efficient and meaningful exploration methods still remains a major hurdle in the way of turning them into a usable and useful information source. In this paper, we focus on this problem and propose an RDF/S model and a distributed framework for building semantic profiles (layers) that describe semantic information about the contents of web archives. A semantic layer allows describing metadata information about the archived documents, annotating them with useful semantic information (like entities, concepts and events), and publishing all this data on the Web as Linked Data. Such structured repositories offer advanced query and integration capabilities and make web archives directly exploitable by other systems and tools. To demonstrate their query capabilities, we build and query semantic layers for three different types of web archives. An experimental evaluation showed that a semantic layer can answer information needs that existing keyword-based systems are not able to sufficiently satisfy.
UR - http://www.scopus.com/inward/record.url?scp=85027982024&partnerID=8YFLogxK
U2 - 10.1109/jcdl.2017.7991555
DO - 10.1109/jcdl.2017.7991555
M3 - Conference contribution
AN - SCOPUS:85027982024
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 -