Proceedings of the Knowledge Capture Conference 2017
DOI: 10.1145/3148011.3148030
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Forecasting the Spreading of Technologies in Research Communities

Abstract: Technologies such as algorithms, applications and formats are an important part of the knowledge produced and reused in the research process. Typically, a technology is expected to originate in the context of a research area and then spread and contribute to several other fields. For example, Semantic Web technologies have been successfully adopted by a variety of fields, e.g., Information Retrieval, Human Computer Interaction, Biology, and many others. Unfortunately, the spreading of technologies across resea… Show more

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Cited by 14 publications
(26 citation statements)
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“…The Technology-Topic Framework [24] is an approach that characterises technologies according to their propagation through research topics drawn from CSO, and uses this representation to forecast the future propagation of novel technologies across research fields. The aim is to suggest promising technologies to scholars and accelerate the flow of knowledge from one community to another and the pace of technology propagation.…”
Section: Applications Using Csomentioning
confidence: 99%
“…The Technology-Topic Framework [24] is an approach that characterises technologies according to their propagation through research topics drawn from CSO, and uses this representation to forecast the future propagation of novel technologies across research fields. The aim is to suggest promising technologies to scholars and accelerate the flow of knowledge from one community to another and the pace of technology propagation.…”
Section: Applications Using Csomentioning
confidence: 99%
“…Mobile Computing grew from 142 publications in CHI during 2009 (14 in IJHCS) to 222 in 2018 (18 in IJHCS, with a peak of 23 in 2017). Its most active subtopics in this period include Smartphones (10 to 61 in CHI), Wearable Computing (15,62), and Mobile Applications (3,19).…”
Section: Research Topic Analysismentioning
confidence: 99%
“…For example, we could map the concept temporal logic to each book that contains one of the alternative labels (e.g., "temporal logics") or sub-concepts (e.g., "temporal operators") in the CSO ontology. This technique has been applied with good results in a variety of fields, such as automatic classification of proceedings [2], technology forecasting [6], recommender systems [3,13], community detection [5], and others.…”
Section: Topic Rankingmentioning
confidence: 99%
“…This is indeed the case with CSO, which was previously tested on several tasks [24], including automatic tagging of scientific publications [1], recommendation generation [2], clustering [5], and technology forecasting [6]. Alternatively, we suggest to pre-filter the candidate concepts [16] or to generate a task-specific gold standard.…”
Section: Evaluating a Candidate Ontology On A Taskmentioning
confidence: 99%
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