The CSO classifier: Ontology-driven detection of research topics in scholarly articles
Classifying research papers according to their research topics is an important task to
improve their retrievability, assist the creation of smart analytics, and support a variety of …
improve their retrievability, assist the creation of smart analytics, and support a variety of …
[PDF][PDF] Keyword Detection Techniques: A Comprehensive Study.
ZA Shaikh - Engineering, Technology & Applied Science …, 2018 - researchgate.net
Automatic identification of influential segments from a large amount of data is an important
part of topic detection and tracking (TDT). This can be done using keyword identification via …
part of topic detection and tracking (TDT). This can be done using keyword identification via …
Improving editorial workflow and metadata quality at springer nature
Identifying the research topics that best describe the scope of a scientific publication is a
crucial task for editors, in particular because the quality of these annotations determine how …
crucial task for editors, in particular because the quality of these annotations determine how …
Automatic metadata extraction incorporating visual features from scanned electronic theses and dissertations
Electronic Theses and Dissertations (ETDs) contain domain knowledge that can be used for
many digital library tasks, such as analyzing citation networks and predicting research …
many digital library tasks, such as analyzing citation networks and predicting research …
CiteSeerX: 20 years of service to scholarly big data
We overview CiteSeerX, the pioneer digital library search engine, that has been serving
academic communities for more than 20 years (first released in 1998), from three …
academic communities for more than 20 years (first released in 1998), from three …
Product discovery utilizing the semantic data model
S Jain - Multimedia Tools and Applications, 2023 - Springer
Most of the existing techniques to product discovery and recommendations rely on syntactic
approaches, thus ignoring valuable and specific semantic information of the underlying …
approaches, thus ignoring valuable and specific semantic information of the underlying …
A text mining approach to extract and rank innovation insights from research projects
Open innovation is a new paradigm embraced by companies to introduce transformations. It
assumes that firms can and should use external and internal ideas to innovate. Recently …
assumes that firms can and should use external and internal ideas to innovate. Recently …
Exploiting knowledge graphs for facilitating product/service discovery
S Jain - arXiv preprint arXiv:2010.05213, 2020 - arxiv.org
Most of the existing techniques to product discovery rely on syntactic approaches, thus
ignoring valuable and specific semantic information of the underlying standards during the …
ignoring valuable and specific semantic information of the underlying standards during the …
Sciev: Finding scientific evidence papers for scientific news
In the past decade, many scientific news media that report scientific breakthroughs and
discoveries emerged, bringing science and technology closer to the general public …
discoveries emerged, bringing science and technology closer to the general public …
Searching for evidence of scientific news in scholarly big data
Public digital media can often mix factual information with fake scientific news, which is
typically difficult to pinpoint, especially for non-professionals. These scientific news articles …
typically difficult to pinpoint, especially for non-professionals. These scientific news articles …