The International Conference on Biomedical Ontologies (ICBO) is a premier annual conference series that brings together researchers, students and professionals involved in the development and application of ontologies in all areas of biology, medicine, diseases, human health, genome biology, environment, biomes, nutrition, food, plants, agriculture and others. This year, ICBO will be run jointly with Ontologies and Data for the Life Sciences (ODLS), an annual workshop series that focuses on data management and data processing in the life sciences and in health care, covering the overall spectrum of biomedical information management, from experimental data acquisition and preprocessing across analysis, structuring and interpretation of data, up to developing structured representations of knowledge, in particular in the form of ontologies, with their various applications. ICBO 2020 will be one of the headline conferences in the Bolzano Summer of Knowledge 2020, together with EKAW 2020 and FOIS 2020. The theme for ICBO|ODLS 2020 is Ontology across Boundaries. ... [Information of the supplier]
ICBO 2021 is being planned as a hybrid event, with face to face meetings held in Bolzano on 15-18 September 2021, augmented by a virtual participation option. [Information of the supplier]
The 2022 International Conference of Biomedical Ontologies (ICBO 2022) will be held in 2022 at the University of Michigan, Ann Arbor, MI, USA. This meeting will be held in a hybrid format that includes both in-person and virtual participation and is part of the Michigan Week of Ontology and Semantic Web. [Information of the supplier]
This glossary has been developed to help botanists who are not fluent in Chinese, but have a sincere desire and patient determination to translate descriptions in whole or in part. It may also be useful for Chinese botanists searching for equivalent English terms. Begun in the autumn of 1980, the project was my sanctuary while teaching English at the South China Agricultural College outside of Guangzhou in the People’s Republic of China. Hu Shiu-Ying, Research Botanist at the Arnold Arboretum, invited me to accompany her to China and indulge my fledgling interests in pharmacognosy. I planned to stay only a few weeks and return home. When my travel visas, then required for every city, became difficult for our hosts to obtain, I opted to return to Guangzhou and help Dr. Hu’s school friend, Florence Lee. She needed a native English speaker to lecture in their language program until the American ESL teachers arrived. Their visas were never approved and I finished teaching the six-month course. What I lacked in experience and training, the students provided in enthusiasm and curiosity. The students, in fact, were mature scholars from various disciplines of agriculture who were earnestly preparing for fellowships abroad. This unbelievably dedicated group of about eighty men and women from all parts of China had survived the Cultural Revolution and the political devastation that uprooted their education, careers, personal lives, and national heritage. While the trial proceeded for the deposed leaders known as The Gang of Four, I tried to define the cultural differences between our countries to prepare the students for an academic environment outside of China. In turn, they taught me simplicity, collaboration, and the intrinsic beauty of the Chinese characters. ... [Information of the supplier]
BioConcepts is a multilingual database which documents the origin and definition of basic biological concepts. It serves as a guide to the first uses of words, influential definitions and shifts of meaning through history. The database started life in 2008 as a supplement to the handbook Historisches Wörterbuch der Biologie. Geschichte und Theorie der biologischen Grundbegriffe (HWB) which was published in three volumes by Verlag J.B. Metzler in 2011. BioConcepts is focused on terms of general biology, i.e. those concepts which apply to all living beings (e.g. ‘organism’, ‘evolution’, or ‘gene’); terms related to particular forms of life (e.g. ‘flower’, ‘heart’, or ‘seeing’) are for the most part not included (the exceptions to this rule refer to important concepts for wide spread phenomena like ‘sexuality’, ‘social behaviour’, or ‘symbiosis’). Currently, the database comprises approximately 8,000 quotations in about 2,000 main entries. In order to find the oldest occurrences of the words the huge corpora of digitalized texts (e.g. JSTOR or GoogleBooks) have been systematically searched. As many of the quotations have been included by students and are not yet checked and revised there are still inconsistencies and incomplete quotations in the database. They will be removed in the process of revision that is currently taking place. By mid-2015 the revision should be completed (by December 2014 entries in the categories ranging from "adaptation" to "regeneration" have been revised). You may help to improve the database by including quotations or hints to quotations in the section “Your feedback” at the end of each entry. ... [Information of the supplier]
BioNLP is an initiative by the Center for Computational Pharmacology (CCP) at the University of Colorado Denver Health Sciences Center to create and distribute code, software, and data for applying natural language processing techniques to biomedical texts. There are many projects associated with BioNLP. The aim of the CCP is to provide novel algorithms and knowledge-based tools for the analysis and interpretation of high-throughput molecular biology data and for information extraction from and management of the biomedical literature. ... [Information of the supplier]
BioPortal is a Web-based application for accessing and sharing ontologies. BioPortal provides functionality to browse and search across all ontologies, supports views/slims/value sets and mappings between ontologies. [Information of the supplier]
Ecological Metadata Language (EML) is a metadata specification developed by the ecology discipline and for the ecology discipline. It is based on prior work done by the Ecological Society of America and associated efforts (Michener et al., 1997, Ecological Applications). EML is implemented as a series of XML document types that can by used in a modular and extensible manner to document ecological data. Each EML module is designed to describe one logical part of the total metadata that should be included with any ecological dataset. The EML project is an open source, community oriented project dedicated to providing a high-quality metadata specification for describing data relevant to the ecological discipline. The project is completely comprised of voluntary project members who donate their time and experience in order to advance information management for ecology. Project decisions are made by consensus according to the voting procedures described in the ecoinformatics.org Charter. ... [Information of the supplier]
The Environment Ontology (EnvO) provides a controlled, structured vocabulary that is designed to support the annotation of any organism or biological sample with environment descriptors. EnvO contains terms for biomes, environmental features, and environmental material. Examples of biome terms are: boreal moist forest biome, tropical rain forest biome, and oceanic pelagic zone biome. Examples of environmental feature terms are: mountain, pond, whale fall, and karst. Examples of environmental material terms are: sediment, soil, water, and air These three sets of terms enable a concise, standardised, and comprehensive description of environment that is key to the integration, archiving and federated searching of environmental data. As a tool for the life sciences, we see EnvO bringing similar benefits to the Gene Ontology (GO). Through promoting consistent annotation grounded in an ontological framework, we hope to facilitate the semantic retrieval of any biological record anchored to EnvO. Records contained in sequence databases, omic data repositories, tissue banks and museum collections are prime candidates for EnvO annotation.However, EnvO is also suitable for the annotation of any record that has an environmental component. For example, you can use EnvO terms to provide information on the environment of remote sensing devices or simply to tag a picture that you took at the weekend. Further, the EnvO project is closely tied with GAZ, a first step towards an open source gazetteer constructed on ontological principles. GAZ describes places and place names as well as the relations between them and, when linked with EnvO descriptors, provides a basis to infer environment from place names. ... [Information of the supplier]
The Experimental Factor Ontology (EFO) is an application focused ontology modelling the experimental factors in ArrayExpress. The ontology has been developed to increase the richness of the annotations that are currently made in the ArrayExpress repository, to promote consistent annotation, to facilitate automatic annotation and to integrate external data. The methodology employed in the development of EFO involves construction of mappings to multiple existing domain specific ontologies, such as the Disease Ontology and Cell Type Ontology. This is achieved using a combination of automated and manual curation steps and the use of a phonetic matching algorithm. The ontology is evaluated with use cases from the ArrayExpress repository and ArrayExpress. ... [Information of the supplier]