Aldo Gangemi

Artificial Intelligence · 2002–2015

A researcher in the Science corpus: 12 papers; trusts 9 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 43 citations into it; #12,150 of 35,345 by trust here, #14,438 by citations
• Molecular Biology — 21 citations into it; #13,561 of 17,773 by trust here, #11,818 by citations
• Information Systems — 19 citations into it; #3,417 of 8,771 by trust here, #6,195 by citations
• Computer Networks and Communications — 10 citations into it; #5,386 of 9,886 by trust here, #8,844 by citations
• Management Information Systems — 8 citations into it
• Natural Language Processing — 8 citations into it

Whom Aldo Gangemi trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Nicola Guarino
2. Chris Welty
3. Asunción Gómez-Pérez
4. Claudio Masolo
5. Massimiliano Ciaramita
6. Dekang Lin
7. Deborah L. McGuinness
8. Eugene Charniak
9. W. Köhler
10. Laure Vieu

Who trusts Aldo Gangemi overall

1. M. Suárez-Figueroa
2. Jérôme Euzenat
3. Bassem Makni
4. Carola Catenacci
5. María Poveda-Villalón
6. Asunción Gómez-Pérez
7. Peter Mika
8. Pavel Shvaiko
9. Roberto Navigli
10. Massimiliano Ciaramita

Papers from Aldo Gangemi's perspective

Ordered by how strongly the researchers Aldo Gangemi trusts endorse each paper. Same corpus, a different order for every researcher.

1. A Formal Ontology of Properties (International Conference Knowledge Engineering and Knowledge Management)
2. Supporting ontological analysis of taxonomic relationships (Data & Knowledge Engineering)
3. Understanding the Semantic Web through Descriptions and Situations (OTM Conferences / Workshops)
4. Knowledge representation: logical, philosophical, and computational foundations
5. Developing multiagent systems: The Gaia methodology (TSEM)
6. Consciousness and Language: Collective Intentions and Actions
7. Evaluating ontological decisions with OntoClean (CACM)
8. The GENIA corpus: an annotated research abstract corpus in molecular biology domain
9. A Maximum-Entropy-Inspired Parser
10. ONTOMETRIC: A Method to Choose the Appropriate Ontology (Journal of Database Management)

Their papers

• Open Knowledge Extraction Challenge (2015) — 64 citations
• Sweetening Ontologies with DOLCE (2002) — 1,276 citations
• Understanding the Semantic Web through Descriptions and Situations (2003) — 355 citations
• Modelling Ontology Evaluation and Validation (2006) — 377 citations
• Ontology Engineering in a Networked World (2012) — 309 citations
• Ontology Design Patterns (2005) — 599 citations
• Unsupervised Learning of Semantic Relations between Concepts of a Molecular Biology Ontology (2005) — 143 citations
• Ontology Design Patterns for Semantic Web Content (2005) — 535 citations
• Social Roles and their Descriptions (2004) — 418 citations
• Sweetening WORDNET with DOLCE (2003) — 334 citations
• Ontology Learning and Its Application to Automated Terminology Translation (2003) — 400 citations
• WonderWeb Deliverable D18 Ontology Library (2003) — 483 citations