Agile Knowledge Engineering and Semantic Web (AKSW) — Agile Knowledge Engineering and Semantic Web (AKSW)

“The Research Group Agile Knowledge Engineering and Semantic Web (AKSW) is hosted by the Chair of Business Information Systems (BIS) of the Institute of Computer Science (IfI) / University of Leipzig as well as the Institute for Applied Informatics (InfAI).

Goals

  • Development of methods, tools and applications for adaptive Knowledge Engineering in the context of the Semantic Web
  • Research of underlying Semantic Web technologies and development of fundamental Semantic Web tools and applications
  • Maturation of strategies for fruitfully combining the Social Web paradigms with semantic knowledge representation techniques

AKSW is committed to the free softwareopen sourceopen access and open knowledge movements.”

Weaving a Semantic Web across OSS repositories: unleashing a new potential for academia and practice

Abstract:  Several public repositories and archives of “facts” about libre software projects, maintained either by open source communities or by research communities, have been flourishing over the Web in the recent years. These have enable new analysis and support new quality assurance tasks.

This paper presents some complementary existing tools, projects and models proposed both by OSS actors or research initiatives, that are likely to lead to useful future developments in terms of study of the FLOSS phenomenon, and also to the very practitioners in the FLOSS development projects, provided that interoperability is fostered at all places.

A goal of the research conducted within the HELIOS project, is to address bugs traceability issues. For that, we investigate the potential of using Semantic Web technologies in navigating between many different bugtracker systems scattered all over the open source ecosystem.

By using Semantic Web techniques, it is possible to interconnect the databases containing data about open-source software projects development, hence letting OSS partakers identify resources, annotate them, and further interlink them using dedicated properties, collectively designing a distributed semantic graph. Such links expressed with standard Semantic techniques are paving the way to new applications (including ones meant for “end-users”). For instance this may have an impact on the way research efforts are conducted (less fragmented), and could also be used by development communities to improve Quality Assurance tasks.

Weaving a Semantic Web across OSS repositories: unleashing a new potential for academia and practice

Abstract:  Several public repositories and archives of “facts” about libre software projects, maintained either by open source communities or by research communities, have been flourishing over the Web in the recent years. These have enable new analysis and support new quality assurance tasks.

This paper presents some complementary existing tools, projects and models proposed both by OSS actors or research initiatives, that are likely to lead to useful future developments in terms of study of the FLOSS phenomenon, and also to the very practitioners in the FLOSS development projects, provided that interoperability is fostered at all places.

A goal of the research conducted within the HELIOS project, is to address bugs traceability issues. For that, we investigate the potential of using Semantic Web technologies in navigating between many different bugtracker systems scattered all over the open source ecosystem.

By using Semantic Web techniques, it is possible to interconnect the databases containing data about open-source software projects development, hence letting OSS partakers identify resources, annotate them, and further interlink them using dedicated properties, collectively designing a distributed semantic graph. Such links expressed with standard Semantic techniques are paving the way to new applications (including ones meant for “end-users”). For instance this may have an impact on the way research efforts are conducted (less fragmented), and could also be used by development communities to improve Quality Assurance tasks.

Taylor & Francis is bringing AI to academic publishing – but it isn’t easy | The Bookseller

“Leading academic publisher Taylor & Francis is developing natural language processing technology to help machines understand its books and journals, with the aim to enrich customers’ online experiences and create new tools to make the company more efficient.

The first step extracts topics and concepts from text in any scholarly subject domain, and shows recommendations of additional content to online users based on what they are already reading, allowing them to discover new research more easily. Further steps will lead to semantic content enrichment for more improvements in areas such as relatedness, better searches, and finding peer-reviewers and specialists on particular subjects….”

Taylor & Francis is bringing AI to academic publishing – but it isn’t easy | The Bookseller

“Leading academic publisher Taylor & Francis is developing natural language processing technology to help machines understand its books and journals, with the aim to enrich customers’ online experiences and create new tools to make the company more efficient.

The first step extracts topics and concepts from text in any scholarly subject domain, and shows recommendations of additional content to online users based on what they are already reading, allowing them to discover new research more easily. Further steps will lead to semantic content enrichment for more improvements in areas such as relatedness, better searches, and finding peer-reviewers and specialists on particular subjects….”

SemEHR: A general-purpose semantic search system to surface semantic data from clinical notes for tailored care, trial recruitment, and clinical research* | Journal of the American Medical Informatics Association | Oxford Academic

“Unlocking the data contained within both structured and unstructured components of electronic health records (EHRs) has the potential to provide a step change in data available for secondary research use, generation of actionable medical insights, hospital management, and trial recruitment. To achieve this, we implemented SemEHR, an open source semantic search and analytics tool for EHRs….”

Automating semantic publishing – IOS Press

Abstract: “Semantic Publishing involves the use of Web and Semantic Web technologies and standards for the semantic enhancement of a scholarly work so as to improve its discoverability, interactivity, openness and (re-)usability for both humans and machines. Recently, people have suggested that the semantic enhancements of a scholarly work should be undertaken by the authors of that scholarly work, and should be considered as integral parts of the contribution subjected to peer review. However, this requires that the authors should spend additional time and effort adding such semantic annotations, time that they usually do not have available. Thus, the most pragmatic way to facilitate this additional task is to use automated services that create the semantic annotation of authors’ scholarly articles by parsing the content that they have already written, thus reducing the additional time required of the authors to that for checking and validating these semantic annotations. In this article, I propose a generic approach called compositional and iterative semantic enhancement (CISE) that enables the automatic enhancement of scholarly papers with additional semantic annotations in a way that is independent of the markup used for storing scholarly articles and the natural language used for writing their content.”

Automating semantic publishing – IOS Press

Abstract: “Semantic Publishing involves the use of Web and Semantic Web technologies and standards for the semantic enhancement of a scholarly work so as to improve its discoverability, interactivity, openness and (re-)usability for both humans and machines. Recently, people have suggested that the semantic enhancements of a scholarly work should be undertaken by the authors of that scholarly work, and should be considered as integral parts of the contribution subjected to peer review. However, this requires that the authors should spend additional time and effort adding such semantic annotations, time that they usually do not have available. Thus, the most pragmatic way to facilitate this additional task is to use automated services that create the semantic annotation of authors’ scholarly articles by parsing the content that they have already written, thus reducing the additional time required of the authors to that for checking and validating these semantic annotations. In this article, I propose a generic approach called compositional and iterative semantic enhancement (CISE) that enables the automatic enhancement of scholarly papers with additional semantic annotations in a way that is independent of the markup used for storing scholarly articles and the natural language used for writing their content.”

Semantic Scholar – An academic search engine for scientific articles

“We’ve pulled over 40 million scientific papers from sources like PubMed, Nature, and ArXiv….Our AI analyzes research papers and pulls out authors, references, figures, and topics….We link all of this information together into a comprehensive picture of cutting-edge research….What if a cure for an intractable cancer is hidden within the results of thousands of clinical studies? We believe that in 20 years’ time, AI will be able to connect the dots between studies to identify hypotheses and suggest experiments that would otherwise be missed. That’s why we’re building Semantic Scholar and making it free and open to researchers everywhere.

Semantic Scholar is a project at the Allen Institute for Artificial Intelligence (AI2). AI2 was founded to conduct high-impact research and engineering in the field of artificial intelligence. We’re funded by Paul Allen, Microsoft co-founder, and led by Dr. Oren Etzioni, a world-renowned researcher and professor in the field of artificial intelligence….”