<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>

COPY SCRIPT

For further information contact us at helpdesk@openaire.eu

Event Search and Analytics

Name: Event Search and Analytics
Creator: Gupta, D.
Keywords: FOS: Computer and information sciences, Computer Science - Computation and Language, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 16. Peace & justice, Computation and Language (cs.CL), Information Retrieval (cs.IR), Computer Science - Information Retrieval, 3. Good health

Detecting Events in Semantically Annotated Corpora for Search & Analytics

descriptionPublicationkeyboard_double_arrow_right Article , Preprint , Other literature type , Research 08 Feb 2016Embargo end date: 01 Jan 2016Publisher:ACMJournal:Proceedings of the Ninth ACM International Conference on Web Search and Data Mining

Authors: Gupta, D.;

doi: 10.1145/2835776.2855083 , 10.48550/arxiv.1603.00260

arXiv: http://arxiv.org/abs/1603.00260

handle: 11858/00-001M-0000-002C-2224-4 , 11858/00-001M-0000-002C-2226-F

Event Search and Analytics

- Summary
- Subjects
- Metrics

Abstract

In this article, I present the questions that I seek to answer in my PhD research. I posit to analyze natural language text with the help of semantic annotations and mine important events for navigating large text corpora. Semantic annotations such as named entities, geographic locations, and temporal expressions can help us mine events from the given corpora. These events thus provide us with useful means to discover the locked knowledge in them. I pose three problems that can help unlock this knowledge vault in semantically annotated text corpora: i. identifying important events; ii. semantic search; and iii. event analytics.

Extended research report of an extended abstract published at WSDM 2016 Doctoral Consortium. in WSDM 2016 Proceedings of the Ninth ACM International Conference on Web Search and Data Mining

Related Organizations

Max Planck Institute of Neurobiology
Germany
Max Planck Society
Germany
Max Planck Institute for Informatics
Germany

Keywords

FOS: Computer and information sciences, Computer Science - Computation and Language, Computation and Language (cs.CL), Information Retrieval (cs.IR), Computer Science - Information Retrieval

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	3
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average