Semi-automatic Ontology Maintenance in the Virtuoso News Monitoring System

Amardeilh, Florence; Kraaij, Wessel; Spitters, Martijn; Versloot, Corne; Yurtsever, Sinan

doi:10.1109/eisic.2013.29

Cited by 3 publications

(3 citation statements)

References 4 publications

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“…News articles are clustered based on their topic, and a knowledge graph with facts and events is maintained. A similar architecture is described in [1], but lacking advanced NLP processing. It uses topic based clustering instead.…”

Section: Related Workmentioning

confidence: 99%

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Bootstrapping an Online News Knowledge Base

Hoxha

Baxhaku

Ninka

2016

Lecture Notes in Computer Science

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News retrieval systems facilitate the process of quickly learning about events or stories reported in various online news providers. The traditional approach involves clustering articles that report about the same event using bag-of-words or concept based similarity measures, and offering personalized recommendations using various user modeling approaches. Knowledge bases have been extensively used in the recent years for powering search engines on entity based searches. The success of this approach, demonstrated by a now de-facto way of searching and browsing offered by commercial search engines and mobile applications, has created the need to incorporate semantic capabilities to news retrieval systems. In this paper we present a proposal for creating a knowledge base of entities, events and facts reported in Albanian online news providers. We aim to provide a news stream processing pipeline based in generally available open source toolkits and state-of-the-art research works about event and fact oriented knowledge bases.

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Section: Related Workmentioning

confidence: 99%

“…Knowledge bases (KB) are nowadays powering most of the commercial search engines 1 . They are mostly used to provide quick facts about people, organizations, sport teams and other entities related to the provided search queries.…”

Section: Introductionmentioning

confidence: 99%

Bootstrapping an Online News Knowledge Base

Hoxha

Baxhaku

Ninka

2016

Lecture Notes in Computer Science

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“…The MCC has successfully been applied as a feature selection metric for various text classification tasks [9]- [11]. The MCC(L) is computed for each lemma L with K = 0.…”

Section: B First-stage Classification Based On Threat Triggersmentioning

confidence: 99%

Threat Detection in Tweets with Trigger Patterns and Contextual Cues

Spitters

Eendebak

Worm

et al. 2014

2014 IEEE Joint Intelligence and Security Informatics Conference

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Abstract-Many threats in the real world can be related to activities in open sources on the internet. Early detection of threats based on internet information could assist in the prevention of incidents. However, the amount of data in social media, blogs and forums rapidly increases and it is time consuming for security services to monitor all these open sources. Therefore, it is important to have a system that automatically ranks messages based on their threat potential and thereby allows security operators to check these messages more efficiently. In this paper, we present a novel method for detecting threatening messages on Twitter based on trigger keywords and contextual cues. The system was tested on multiple large collections of Dutch tweets. Our experimental results show that our system can successfully analyze messages and recognize threatening content.

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Open source intelligence and AI: a systematic review of the GELSI literature

2023

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Today, open source intelligence (OSINT), i.e., information derived from publicly available sources, makes up between 80 and 90 percent of all intelligence activities carried out by Law Enforcement Agencies (LEAs) and intelligence services in the West. Developments in data mining, machine learning, visual forensics and, most importantly, the growing computing power available for commercial use, have enabled OSINT practitioners to speed up, and sometimes even automate, intelligence collection and analysis, obtaining more accurate results more quickly. As the infosphere expands to accommodate ever-increasing online presence, so does the pool of actionable OSINT. These developments raise important concerns in terms of governance, ethical, legal, and social implications (GELSI). New and crucial oversight concerns emerge alongside standard privacy concerns, as some of the more advanced data analysis tools require little to no supervision. This article offers a systematic review of the relevant literature. It analyzes 571 publications to assess the current state of the literature on the use of AI-powered OSINT (and the development of OSINT software) as it relates to the GELSI framework, highlighting potential gaps and suggesting new research directions.

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Semi-automatic Ontology Maintenance in the Virtuoso News Monitoring System

Cited by 3 publications

References 4 publications

Bootstrapping an Online News Knowledge Base

Bootstrapping an Online News Knowledge Base

Threat Detection in Tweets with Trigger Patterns and Contextual Cues

Open source intelligence and AI: a systematic review of the GELSI literature

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Semi-automatic Ontology Maintenance in the Virtuoso News Monitoring System

Cited by 3 publications

References 4 publications

Bootstrapping an Online News Knowledge Base

Bootstrapping an Online News Knowledge Base

Threat Detection in Tweets with Trigger Patterns and Contextual Cues

Open source intelligence and AI: a systematic review of the GELSI literature﻿

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Product

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Open source intelligence and AI: a systematic review of the GELSI literature