Different Types of Automated and Semi-automated Semantic Storytelling: Curation Technologies for Different Sectors

Abstract

Abstract. Many industries face an increasing need for smart systems that support the processing and generation of digital content. This is both due to an ever increasing amount of incoming content that needs to be processed faster and more efficiently, but also due to an ever increasing pressure of publishing new content in cycles that are getting shorter and shorter. In a research and technology transfer project we develop a platform that provides content curation services that can be integrated into Content Management Systems, among others. In the project we develop curation services, which comprise semantic text and document analytics processes as well as knowledge technologies that can be applied to document collections. The key objective is to support digital curators in their daily work, i.e., to (semi-)automate processes that the human experts are normally required to carry out intellectually and, typically, without tool support. The goal is to enable knowledge workers to become more efficient and more effective as well as to produce high-quality content. In this article we focus on the current state of development with regard to semantic storytelling in our four use cases.

Transitions in Journalism—Toward a Semantic-Oriented Technological Framework

“…or from the use of non-semantic representation forms (i.e., text or hypertext), which are enriched with semantic representations during the authoring process". The digital agency 3pc GmbH provides a prime environment of semantic authoring that can semantically process collections of information in order to enable the efficient authoring of professional, visually appealing, and engaging content products (Rehm et al 2017). Over the years, multiple ontologies, as presented in Table 4, have been developed and used in the news domain for authoring purposes (Fernández et al 2010).…”

“…Semantic storytelling can be conceptualised as the automatic (or semi-automatic) generation of different storylines based on the information extracted, classified, and annotated within extensive textual datasets (Rishes et al 2013). Semantic storytelling can also be defined as the identification of interesting story paths (Schneider et al 2017a) or the recommendation of interesting nuggets of information based on a certain set of content using a concrete narrative style or voice (Rehm et al 2017). Semantic storytelling is a storytelling approach that bundles a flexible set of semantic services, like the semantic analysis of document collections, in order to point out stimulating correlations between the different entities mentioned in the collections (Schneider et al 2017b;Rehm et al 2017).…”

“…Semantic storytelling can also be defined as the identification of interesting story paths (Schneider et al 2017a) or the recommendation of interesting nuggets of information based on a certain set of content using a concrete narrative style or voice (Rehm et al 2017). Semantic storytelling is a storytelling approach that bundles a flexible set of semantic services, like the semantic analysis of document collections, in order to point out stimulating correlations between the different entities mentioned in the collections (Schneider et al 2017b;Rehm et al 2017). Today, there are different semantic storytelling systems, as shown in Table 5.…”

Orchestrating NLP Services for the Legal Domain

“…We conceptualise the requirements of the different use cases as content curation workflows (Moreno-Schneider and Rehm, 2018b;Bourgonje et al, 2016a;Bourgonje et al, 2016b;Rehm et al, 2018). Workflows are defined as the execution of specific services to perform the processing of one or more documents under the umbrella of a certain task or use case.…”

Curation Technologies for Cultural Heritage Archives

“…This conversion of, for example, physical archives, into machine-readable formats is an important first step towards making sure the information is retained for future generations. The subsequent step, semi or maybe even fully automatically making sense of large volumes of content to enable humans quickly to grasp what is contained on a rather high level, and providing entry points for a more detailed exploration, i. e., the aggregation, sorting and re-arranging of both new and digitised information is what we perceive to be at the core of digital curation technologies [4,19,[25][26][27]. In this contribution we focus on importing, analysing and curating a cultural heritage archive in the form of a very large collection of PDF documents.…”