An ontology for a Robot Scientist

Soldatova, L., Clare, A., Sparkes, A. and King, R. D. (2006) An ontology for a robot scientist. Bioinformatics 2006 22: 464-471

ART: An ontology based tool for the translation of papers into Semantic Web format

To be presented at SIG/ISMB07 ontology workshop: http://bio-ontologies.org.uk/index.php To be published in BMC Bioinformatics. Sponsorship: JISC

A unified anatomy ontology of the vertebrate skeletal system.

The skeleton is of fundamental importance in research in comparative vertebrate morphology, paleontology, biomechanics, developmental biology, and systematics. Motivated by research questions that require computational access to and comparative reasoning across the diverse skeletal phenotypes of vertebrates, we developed a module of anatomical concepts for the skeletal system, the Vertebrate Skeletal Anatomy Ontology (VSAO), to accommodate and unify the existing skeletal terminologies for the species-specific (mouse, the frog Xenopus, zebrafish) and multispecies (teleost, amphibian) vertebrate anatomy ontologies. Previous differences between these terminologies prevented even simple queries across databases pertaining to vertebrate morphology. This module of upper-level and specific skeletal terms currently includes 223 defined terms and 179 synonyms that integrate skeletal cells, tissues, biological processes, organs (skeletal elements such as bones and cartilages), and subdivisions of the skeletal system. The VSAO is designed to integrate with other ontologies, including the Common Anatomy Reference Ontology (CARO), Gene Ontology (GO), Uberon, and Cell Ontology (CL), and it is freely available to the community to be updated with additional terms required for research. Its structure accommodates anatomical variation among vertebrate species in development, structure, and composition. Annotation of diverse vertebrate phenotypes with this ontology will enable novel inquiries across the full spectrum of phenotypic diversity.

The vertebrate taxonomy ontology: a framework for reasoning across model organism and species phenotypes.

BACKGROUND: A hierarchical taxonomy of organisms is a prerequisite for semantic integration of biodiversity data. Ideally, there would be a single, expansive, authoritative taxonomy that includes extinct and extant taxa, information on synonyms and common names, and monophyletic supraspecific taxa that reflect our current understanding of phylogenetic relationships. DESCRIPTION: As a step towards development of such a resource, and to enable large-scale integration of phenotypic data across vertebrates, we created the Vertebrate Taxonomy Ontology (VTO), a semantically defined taxonomic resource derived from the integration of existing taxonomic compilations, and freely distributed under a Creative Commons Zero (CC0) public domain waiver. The VTO includes both extant and extinct vertebrates and currently contains 106,947 taxonomic terms, 22 taxonomic ranks, 104,736 synonyms, and 162,400 cross-references to other taxonomic resources. Key challenges in constructing the VTO included (1) extracting and merging names, synonyms, and identifiers from heterogeneous sources; (2) structuring hierarchies of terms based on evolutionary relationships and the principle of monophyly; and (3) automating this process as much as possible to accommodate updates in source taxonomies. CONCLUSIONS: The VTO is the primary source of taxonomic information used by the Phenoscape Knowledgebase (http://phenoscape.org/), which integrates genetic and evolutionary phenotype data across both model and non-model vertebrates. The VTO is useful for inferring phenotypic changes on the vertebrate tree of life, which enables queries for candidate genes for various episodes in vertebrate evolution.

BioHackathon series in 2011 and 2012: penetration of ontology and linked data in life science domains.

The application of semantic technologies to the integration of biological data and the interoperability of bioinformatics analysis and visualization tools has been the common theme of a series of annual BioHackathons hosted in Japan for the past five years. Here we provide a review of the activities and outcomes from the BioHackathons held in 2011 in Kyoto and 2012 in Toyama. In order to efficiently implement semantic technologies in the life sciences, participants formed various sub-groups and worked on the following topics: Resource Description Framework (RDF) models for specific domains, text mining of the literature, ontology development, essential metadata for biological databases, platforms to enable efficient Semantic Web technology development and interoperability, and the development of applications for Semantic Web data. In this review, we briefly introduce the themes covered by these sub-groups. The observations made, conclusions drawn, and software development projects that emerged from these activities are discussed.

Situating relational ontology and transformative activist stance within the ‘everyday’ practice of coteaching and cogenerative dialogue.

This paper attempts to advance the thinking in Stetsenko’s paper by situating the concepts of relational ontology and transformative activist stance in the context of coteaching and cogenerative dialogue. In so doing, we hope to make Stetsenko’s ideas more operational in terms of access and application by researchers, teachers, policy makers and other stakeholders in education. Stetsenko argues that moving from relational ontology to a transformative activist stance can be considered as moving from participation to contribution. When this model was applied to coteaching and cogenerative dialogue, it was apparent that the coteaching and cogenerative dialogue moved further, from contribution to shared contribution, adding even greater potential for transformation. The paper also discusses the use of cultural historical activity theory in articulating the relationships, dynamics and interpretations of coteaching and cogenerative dialogue in relation to the wider context of their application.

The Ontology of Thisness

The paper seeks to give an account of what it is for an individual to instantiate thisness, and how an individual and its thisness are related (where the thisness of an individual x is the property of being identical to x). Such an account is completely lacking in the literature, even among those who defend and make use of thisness. My approach is to seek out a model for the instantiation of thisness by canvassing realist accounts of the substance/attribute relation , and then make appropriate modifications to the most likely candidate in order to accommodate an individual's instantiation of thisness (the accounts cannot be strictly identical for reasons that I explain). I go on to suggest that the model can be appropriately applied in the case of other individuals which might instantiate thisness: for example, persons and events (where these are conceived as fundamental categories of ontology distinct from material substances).

Demos and Denomination::flags, fealty, and the political ontology of protests in Northern Ireland

This paper will examine some of the ways in which processes of denomination
have shaped Northern Irish politics before and after the ‘Belfast’, or ‘Good Friday
Agreement’ of 1998. We concentrate on the formation of the ‘Unionist’ or ‘Loyalist
community’, principally because the flag protests of 2012-2013 have brought the
issue of this community identity to the fore again. The flag is part of a whole
machinery of what we, in this paper, will call ‘denomination’ in Northern Irish
politics and elsewhere. The religious overtones of the term are neither accidental
nor incidental. Acts of denomination posit (assertively, authoritatively) a
collective identity, conceived and constituted ontologically, as an existent entity,
and stake a claim to a whole territory.

Behavioral Model Generation from Use Cases Based on Ontology Mapping and GRASP Patterns

This paper contributes a new approach for developing UML software designs from Natural Language (NL), making use of a meta-domain oriented ontology, well established software design principles and Natural Language Processing (NLP) tools. In the approach described here, banks of grammatical rules are used to assign event flows from essential use cases. A domain specific ontology is also constructed, permitting semantic mapping between the NL input and the modeled domain. Rules based on the widely-used General Responsibility Assignment Software Principles (GRASP) are then applied to derive behavioral models.