“Ontology Extraction and Usage in the Scholarly Knowledge Domain” is our contribution to the IOSPress edited book “Applications and Practices in Ontology Design, Extraction, and Reasoning” by Giuseppe Cota, Marilena Daquino and Gianluca Pozzato.
Angelo Salatino, Francesco Osborne, Enrico Motta
Abstract
Ontologies of research areas have been proven to be useful in many application for analysing and making sense of scholarly data. In this chapter, we present the Computer Science Ontology (CSO), which is the largest ontology of research areas in the field of Computer Science, and discuss a number of applications that build on CSO, to support high-level tasks, such as topic classification, metadata extraction, and recommendation of books.
Paper Download
Download paper from arXiv: https://arxiv.org/abs/2003.12611
Related Posts
-
Integrating Conversational Agents and Knowledge Graphs Within the Scholarly Domain"Integrating Conversational Agents and Knowledge Graphs Within the Scholarly Domain" is a journal paper accepted at IEEE Access. Antonello Meloni1, Simone Angioni1, Angelo Antonio Salatino2, Francesco Osborne2, Diego Reforgiato Recupero1, Enrico Motta2 1 Department of Mathematics and Computer Science, University of Cagliari (Italy) 2 Knowledge Media Institute, The Open University, Milton Keynes (UK) Abstract In the last few years, chatbots have become mainstream solutions adopted…
-
AIDA-Bot: A Conversational Agent to Explore Scholarly Knowledge Graphs"AIDA-Bot: A Conversational Agent to ExploreScholarly Knowledge Graphs" is a demo paper accepted for presentation at the International Semantic Web Conference (ISWC 2021) poster and demo session. Antonello Meloni1, Simone Angioni1, Angelo Antonio Salatino2, Francesco Osborne2, Diego Reforgiato Recupero1, Enrico Motta2 1 Department of Mathematics and Computer Science, University of Cagliari (Italy) 2 Knowledge Media Institute, The Open University, Milton Keynes (UK) Abstract Chatbots have…
-
Trans4E: Link Prediction on Scholarly Knowledge Graphs"Trans4E: Link Prediction on Scholarly Knowledge Graphs" is a journal paper submitted to the Special Issue on "Knowledge Graph Representation & Reasoning" at the Neurocomputing Journal Mojtaba Nayyeria, Gokce Muge Cila, Sahar Vahdatib, Francesco Osborned, Mahfuzur Rahmana,Simone Angionie, Angelo Salatinod, Diego Reforgiato Recuperoe, Nadezhda Vassilyevaa, Enrico Mottad and Jens Lehmanna,c aSDA Research Group, University of Bonn (Germany) bInstitute for Applied Informatics (InfAI) cFraunhofer IAIS,…
