UPSI SENTINEL 60 Second Briefing Paper
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The Sennel plaorm provides a mul-level interface into informaon extracted from the social Web. The purpose of this plaorm is to evaluate to what degree web data can be converted into aconable intelligence relang to public-interest events and topics in terms of reliability, usability and meliness. We focus upon five key quesons that can allow human analysts to draw conclusions as to: What is happening? When is it taking place? Where is it occurring? Who are the sides involved? Why is this happening and why does it require response? Users of Sennel are able to direct data collec- on towards specific key words and geographical locaons creang “channels” of interest by which intelligence can be derived. upsi.org.uk WHAT’S THE KEY IDEA? Sentinel: Localised Situational Awareness via Social Media 60 SECOND BRIEFING The data driven text mining tool Flexi- Term[1] has been incorporated into the interface, allowing for a near real me sum- mary of prevailing terms currently found within a channel, with the output being presented spaally and temporally. Running parallel to topic idenficaon is the indexing of data against an expertly curated ontology of criminal and extremist topics. This provides users with the ability to delve deep into their data channels to idenfy and track sensive narraves. We take advantage of the pervasive- ness of Cloud Compung to create a dynamic and scalable approach to data processing that provides the ability to extract near real me meaning from large volumes of data. This takes the form of a data processing pipeline in which fragments of social media text are filtered, transformed and enriched by a pool of processing and analyc tools. DATA DRIVEN INFORMATION, KNOWLEDGE DRIVEN IDENTIFICATION DEALING WITH BIG DATA References: [1] Spasić, I., Greenwood, M., Preece, A., Francis, N. and Elwyn, G. (2013). FlexiTerm: A flexible term recognition method. Journal of Biomedical Semantics 4:27 Universities’ Police Science Institute Sefydliad y Prifysgolion ar Wyddorau’r Heddlu
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Transcript of UPSI SENTINEL 60 Second Briefing Paper
The Sentinel platform provides a multi-level interface into information extracted from the social Web. The purpose of this platform is to evaluate to what degree web data can be converted into actionable intelligence relating to public-interest events and topics in terms of reliability, usability and timeliness. We focus upon five key questions that can allow human analysts to draw conclusions as to:
What is happening? When is it taking place?
Where is it occurring? Who are the sides involved?
Why is this happening and why does it require response?
Users of Sentinel are able to direct data collec-tion towards specific key words and geographical locations creating “channels” of interest by which intelligence can be derived.
upsi.org.uk
WHAT’S THE KEY IDEA?
Sentinel: Localised Situational Awareness via Social Media60 SECOND BRIEFING
The data driven text mining tool Flexi-Term[1] has been incorporated into the interface, allowing for a near real time sum-mary of prevailing terms currently found within a channel, with the output being presented spatially and temporally.
Running parallel to topic identification is the indexing of data against an expertly curated ontology of criminal and extremist topics. This provides users with the ability to delve deep into their data channels to identify and track sensitive narratives.
We take advantage of the pervasive-ness of Cloud Computing to create a dynamic and scalable approach to data processing that provides the ability to extract near real time meaning from large volumes of data.
This takes the form of a data processing pipeline in which fragments of social media text are filtered, transformed and enriched by a pool of processing and analytic tools.
DATA DRIVEN INFORMATION, KNOWLEDGE DRIVEN IDENTIFICATION DEALING WITH
BIG DATA
References: [1] Spasić, I., Greenwood, M., Preece, A., Francis, N. and Elwyn, G. (2013). FlexiTerm: A flexible term recognition method. Journal of Biomedical Semantics 4:27
Universities’ Police Science InstituteSefydliad y Prifysgolion ar Wyddorau’r Heddlu
LOCALISED SITUATIONAL AWARENESS OF SOCIAL MEDIA
For further information go to: www.upsi.org.uke: [email protected]
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FUTURE WORK: ENHANCING WHERE, ASKING WHO
Early investigations into situational awareness through social media has lead to the development of a suite of web applications:
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Response to @BoyaDee eline of Woolwich events
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FlexiTerm Output Rela to Woolwich Timeline
woolwich rigby edl
islamist terrorist a ack
police contain edldrummer lee rigby
second woolwich killer
edl march newcastle
man stabbed woolwich
protest tea biscuits
CASE STUDY: WOOLWICH INCIDENT22nd May 2013, killing of Lee Rigby in Woolwich
Aggressive reaction from English Defence League
Widespread attention from Social Media (464,196 Tweets)
Named Entity Recognition will identify “Who?” and “Where?”Usability study of interfaces with end usersInvestigation into the demographics of data sources
Created a multi-level interface into the infor-mation we extract.Topic identification is achieved through the use of Flexi-TermProvides both temporal and geographical reference planesAnswers the questions “What? When?” and “What? Where?”
