Ontology, Semantic Web, World Wide Web, Data science and Context are his primary areas of study. His Ontology research is multidisciplinary, incorporating perspectives in Ontology and Semantic similarity. His biological study spans a wide range of topics, including Semantics, Metadata and Basic Formal Ontology.
His research in Semantic similarity intersects with topics in Annotation, Semantic computing, Similarity and Ontology-based data integration. In most of his Semantic Web studies, his work intersects topics such as Web service. His study in Data science is interdisciplinary in nature, drawing from both Genetics, Data exchange, Data integration, OBO Foundry and Workflow.
His main research concerns Ontology, World Wide Web, Data science, Semantic Web and Information retrieval. His study brings together the fields of Ontology and Ontology. His studies in World Wide Web integrate themes in fields like Semantics and Workflow.
His work often combines Data science and Context studies. His study in the field of Semantic Web Stack and Semantic grid is also linked to topics like Resource. Information retrieval is closely attributed to Annotation in his research.
His scientific interests lie mostly in Ontology, Ontology, World Wide Web, Domain and Information retrieval. His Ontology research incorporates elements of Software engineering and Source code. His Ontology research is multidisciplinary, relying on both Syntax and Biological Ontologies.
His Information retrieval research includes elements of Identifier and Usability. The concepts of his Open Biomedical Ontologies study are interwoven with issues in Bootstrapping and Data science. His Data science research includes themes of Annotation, Correctness, Software analytics and Database design.
Phillip Lord mostly deals with Ontology, Penetrance, Mitochondrial DNA, Haplogroup and Genetics. The study incorporates disciplines such as Domain, World Wide Web and Natural language processing in addition to Ontology. His World Wide Web research integrates issues from Ontology for Biomedical Investigations and Ontology alignment.
Phillip Lord interconnects OWL-S, Ontology-based data integration and Process ontology in the investigation of issues within Upper ontology. His studies in Web Ontology Language integrate themes in fields like Ontology and Biological Ontologies. His work carried out in the field of Ontology brings together such families of science as Metadata, Bioinformatics, Open Biomedical Ontologies, Text mining and Syntax.
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The minimum information about a genome sequence (MIGS) specification.
Dawn Field;George Garrity;Tanya Gray;Norman Morrison.
Nature Biotechnology (2008)
Investigating semantic similarity measures across the Gene Ontology: the relationship between sequence and annotation.
Phillip W. Lord;Robert D. Stevens;Andy Brass;Carole A. Goble.
Taverna: lessons in creating a workflow environment for the life sciences
Thomas M. Oinn;R. Mark Greenwood;Matthew Addis;M. Nedim Alpdemir.
Concurrency and Computation: Practice and Experience (2006)
Semantic similarity in biomedical ontologies.
Catia Pesquita;Daniel Faria;André O. Falcão;Phillip W. Lord.
PLOS Computational Biology (2009)
Promoting coherent minimum reporting guidelines for biological and biomedical investigations: the MIBBI project
Chris F. Taylor;Chris F. Taylor;Dawn Field;Susanna Assunta Sansone;Susanna Assunta Sansone;Jan Aerts.
Nature Biotechnology (2008)
Semantic Similarity Measures as Tools for Exploring the Gene Ontology
Phillip W Lord;Robert D Stevens;Andy Brass;Carole A Goble.
pacific symposium on biocomputing (2002)
Cooking the semantic web with the OWL API
Sean Bechhofer;Raphael Volz;Phillip Lord.
international semantic web conference (2003)
Modeling biomedical experimental processes with OBI
Ryan R Brinkman;Mélanie Courtot;Dirk Derom;Jennifer M Fostel.
intelligent systems in molecular biology (2010)
The Ontology for Biomedical Investigations
Anita Bandrowski;Ryan Brinkman;Mathias Brochhausen;Matthew H. Brush.
PLOS ONE (2016)
Exploring Williams--Beuren syndrome using myGrid
R. D. Stevens;H. J. Tipney;C. J. Wroe;T. M. Oinn.
intelligent systems in molecular biology (2004)
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