Events Extraction and Aggregation for Open Source Intelligence: From Text to Knowledge

Serrano, Laurie; Bouzid, Maroua; Charnois, Thierry; Brunessaux, Stéphan; Grilhères, Bruno

doi:10.1109/ictai.2013.83

Cited by 6 publications

(5 citation statements)

References 4 publications

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“…Text mining relies on natural language processing techniques and/or manually curated ontologies to analyze large amounts of text automatically in order to offer more efficient ways for scientists to harness the existing knowledge in scientific literature. This may involve extracting (Mooney and Bunescu, 2005), summarizing (Nenkova and McKeown, 2012), aggregating (Serrano et al, 2013), categorizing (Brindha et al, 2016) and inferring (Erraguntla et al, 2012) information from text. In addition, by analyzing and synthesizing what has been reported in the literature, literature-based discoveries may also be achieved (Gordon and Dumais, 1998).…”

Section: Related Workmentioning

confidence: 99%

Band gap information extraction from materials science literature – a pilot study

Ghosh

Lü

2022

AJIM

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PurposeThe purpose of this paper is to present a preliminary work on extracting band gap information of materials from academic papers. With increasing demand for renewable energy, band gap information will help material scientists design and implement novel photovoltaic (PV) cells.Design/methodology/approachThe authors collected 1.44 million titles and abstracts of scholarly articles related to materials science, and then filtered the collection to 11,939 articles that potentially contain relevant information about materials and their band gap values. ChemDataExtractor was extended to extract information about PV materials and their band gap information. Evaluation was performed on randomly sampled information records of 415 papers.FindingsThe findings of this study show that the current system is able to correctly extract information for 51.32% articles, with partially correct extraction for 36.62% articles and incorrect for 12.04%. The authors have also identified the errors belonging to three main categories pertaining to chemical entity identification, band gap information and interdependency resolution. Future work will focus on addressing these errors to improve the performance of the system.Originality/valueThe authors did not find any literature to date on band gap information extraction from academic text using automated methods. This work is unique and original. Band gap information is of importance to materials scientists in applications such as solar cells, light emitting diodes and laser diodes.

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Section: Related Workmentioning

confidence: 99%

Band gap information extraction from materials science literature – a pilot study

Ghosh

Lü

2022

AJIM

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“…The value of the information collected so far is unquestionable. However, the intelligence extraction of those findings leads actually to what will provide an attractive recognition of the target [53]. To this end, we consider the knowledge elicitation as the treatment of the analysis results (output info) making use of data mining and artificial intelligence techniques.…”

Section: Osint Knowledge Extractionmentioning

confidence: 99%

The Not Yet Exploited Goldmine of OSINT: Opportunities, Open Challenges and Future Trends

et al. 2020

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The amount of data generated by the current interconnected world is immeasurable, and a large part of such data is publicly available, which means that it is accessible by any user, at any time, from anywhere in the Internet. In this respect, Open Source Intelligence (OSINT) is a type of intelligence that actually benefits from that open natureby collecting, processing and correlating points of the whole cyberspace to generate knowledge. In fact, recent advances in technology are causing OSINT to currently evolve at a dizzying rate, providing innovative data-driven and AI-powered applications for politics, economy or society, but also offering new lines of action against cyberthreats and cybercrime. The paper at hand describes the current state of OSINT and makes a comprehensive review of the paradigm, focusing on the services and techniques enhancing the cybersecurity field. On the one hand, we analyze the strong points of this methodology and propose numerous ways to apply it to cybersecurity. On the other hand, we cover the limitations when adopting it. Considering there is a lot left to explore in this ample field, we also enumerate some open challenges to be addressed in the future. Additionally, we study the role of OSINT in the public sphere of governments, which constitute an ideal landscape to exploit open data.

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“…However, unstructured sources require analyzing natural language to extract the data. Recent works use event recognition and extraction [17] to aggregate the obtained events according to their similarity level.…”

Section: Information Retrievalmentioning

confidence: 99%

Hypatia: An expert system proposal for documentation departments

Garrido

Peiró

Ilarri

2014

2014 IEEE 12th International Symposium on Intelligent Systems and Informatics (SISY)

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Nowadays, the vast amount of text-based information stored in organizations requires different approaches and new tools in order to manage it adequately. This paper presents Hypatia, a support expert system for documentation departments and regular users that exploits not only local information, but also external resources from the Web (e.g., Linked Data). The expert system uses different modules: Natural Language Processing (NLP) analysis, categorization, semantic disambiguation, Automatic Query Expansion (AQE), semantic search, summarization, knowledge extraction, and aggregation. Users can interact with the expert system in different ways, varying from giving very specific orders to writing a simple list of keywords. The latter method requires a previous interpretation before deciding the response of the system. The obtained results will benefit from semantic links referencing complementary data to improve both the information presentation and the data navigation.

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Events Extraction and Aggregation for Open Source Intelligence: From Text to Knowledge

Cited by 6 publications

References 4 publications

Band gap information extraction from materials science literature – a pilot study

Band gap information extraction from materials science literature – a pilot study

The Not Yet Exploited Goldmine of OSINT: Opportunities, Open Challenges and Future Trends

Hypatia: An expert system proposal for documentation departments

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