Hyperlocal event extraction of future events

Tobias Arrskog; Peter Exner; Håkan Jonsson; Peter Norlander; Pierre Nugues

Hyperlocal event extraction of future events

Tobias Arrskog, Peter Exner, Håkan Jonsson, Peter Norlander, Pierre Nugues

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

115 Downloads (Pure)

Abstract

From metropolitan areas to tiny villages, there is a wide variety of organizers of cultural, business, entertainment, and social events. These organizers publish such information to an equally wide variety of sources. Every source of published events uses its own document structure and provides dierent sets of information. This raises signicant customization issues. This paper explores the possibilities of extracting future events from a wide range of web sources, to determine if the document structure and content can be exploited for time-ecient hyperlocal event scraping. We report on two experimental knowledge-driven, pattern-based programs that scrape events from web pages using both their content and structure.

Original language	English
Title of host publication	DeRiVE 2012: Detection, Representation, and Exploitation of Events in the Semantic Web (CEUR Workshop Proceedings)
Publisher	CEUR-WS
Pages	11-21
Volume	902
Publication status	Published - 2012
Event	Workshop on Detection, Representation, and Exploitation of Events in the Semantic Web (DeRiVE 2012) - Boston, United States Duration: 2012 Nov 12 → …

Publication series

Name
Volume	902
ISSN (Print)	1613-0073

Conference

Conference	Workshop on Detection, Representation, and Exploitation of Events in the Semantic Web (DeRiVE 2012)
Country/Territory	United States
City	Boston
Period	2012/11/12 → …

Subject classification (UKÄ)

Computer Science

Access to Document

paper_2

http://ceur-ws.org/Vol-902/paper_2.pdf

1 Doctoral Thesis (compilation)

From Signal to Social: Steps Towards Pervasive Social Context
Jonsson, H., 2018 Jun 15, Lund: Computer Science, Lund University. 140 p.
Research output: Thesis › Doctoral Thesis (compilation)

Open Access
File

Cite this

@inproceedings{c787602416a84d6b9b677c53bdf15c2c,

title = "Hyperlocal event extraction of future events",

abstract = "From metropolitan areas to tiny villages, there is a wide variety of organizers of cultural, business, entertainment, and social events. These organizers publish such information to an equally wide variety of sources. Every source of published events uses its own document structure and provides dierent sets of information. This raises signicant customization issues. This paper explores the possibilities of extracting future events from a wide range of web sources, to determine if the document structure and content can be exploited for time-ecient hyperlocal event scraping. We report on two experimental knowledge-driven, pattern-based programs that scrape events from web pages using both their content and structure.",

author = "Tobias Arrskog and Peter Exner and H{\aa}kan Jonsson and Peter Norlander and Pierre Nugues",

year = "2012",

language = "English",

volume = "902",

publisher = "CEUR-WS",

pages = "11--21",

booktitle = "DeRiVE 2012: Detection, Representation, and Exploitation of Events in the Semantic Web (CEUR Workshop Proceedings)",

note = "Workshop on Detection, Representation, and Exploitation of Events in the Semantic Web (DeRiVE 2012) ; Conference date: 12-11-2012",

}

Arrskog, T, Exner, P, Jonsson, H, Norlander, P & Nugues, P 2012, Hyperlocal event extraction of future events. in DeRiVE 2012: Detection, Representation, and Exploitation of Events in the Semantic Web (CEUR Workshop Proceedings). vol. 902, CEUR-WS, pp. 11-21, Workshop on Detection, Representation, and Exploitation of Events in the Semantic Web (DeRiVE 2012), Boston, United States, 2012/11/12. <http://ceur-ws.org/Vol-902/paper_2.pdf>

TY - GEN

T1 - Hyperlocal event extraction of future events

AU - Arrskog, Tobias

AU - Exner, Peter

AU - Jonsson, Håkan

AU - Norlander, Peter

AU - Nugues, Pierre

PY - 2012

Y1 - 2012

N2 - From metropolitan areas to tiny villages, there is a wide variety of organizers of cultural, business, entertainment, and social events. These organizers publish such information to an equally wide variety of sources. Every source of published events uses its own document structure and provides dierent sets of information. This raises signicant customization issues. This paper explores the possibilities of extracting future events from a wide range of web sources, to determine if the document structure and content can be exploited for time-ecient hyperlocal event scraping. We report on two experimental knowledge-driven, pattern-based programs that scrape events from web pages using both their content and structure.

AB - From metropolitan areas to tiny villages, there is a wide variety of organizers of cultural, business, entertainment, and social events. These organizers publish such information to an equally wide variety of sources. Every source of published events uses its own document structure and provides dierent sets of information. This raises signicant customization issues. This paper explores the possibilities of extracting future events from a wide range of web sources, to determine if the document structure and content can be exploited for time-ecient hyperlocal event scraping. We report on two experimental knowledge-driven, pattern-based programs that scrape events from web pages using both their content and structure.

M3 - Paper in conference proceeding

VL - 902

SP - 11

EP - 21

BT - DeRiVE 2012: Detection, Representation, and Exploitation of Events in the Semantic Web (CEUR Workshop Proceedings)

PB - CEUR-WS

T2 - Workshop on Detection, Representation, and Exploitation of Events in the Semantic Web (DeRiVE 2012)

Y2 - 12 November 2012

ER -

Hyperlocal event extraction of future events

Abstract

Publication series

Conference

Subject classification (UKÄ)

Access to Document

Fingerprint

Research output

From Signal to Social: Steps Towards Pervasive Social Context

Cite this