Although African philosophy has become a part of the world philosophic heritage that can no longer be neglected, no comprehensive history of it is available yet. This lacuna is due to the numerous problems that affect any attempt to outline such a history. Among these problems are those inherent in the historiography of philosophy in general and many others specific to African philosophy. They include the absence of scholarly unanimity over the exact nature of philosophy and, by extension, African philosophy; (...) the dispute over the beginning of philosophy in Ancient Egypt, as well as the Afrocentrist assertion of the origin of Greek philosophy in Egypt; the problem of periodization; the status of ethnophilosophy, etc. These difficulties do not make a comprehensive history of African philosophy an impossible or irrelevant task. On the contrary, such a history is a necessity that promises to exert an enormous positive influence on the future development of African philosophy. (shrink)

Abstract: One of the most contentious challenges facing the Nigerian federal experiment today is that of revenue allocation. Right from the colonial era till present, finding an acceptable revenue formula has remained intractable as the various attempts have not gained wide acceptance. This paper chronicles the various revenue commissions in Nigeria and the formulae derived there from. Data for the paper were mainly from secondary sources. The theoretical nerve of the paper is based on the nature of intergovernmental fiscal relations. (...) The findings indicate that the derivation principle has been the main bone of contention since the discovery of oil in Nigeria. Based on this, the paper recommends a serious restructuring of the Nigerian federation to grant the various component units enough autonomy to develop at their own pace, while economic viability should be the main basis for creation of states and local governments. These states and local governments should also be encouraged to develop other revenue sources outside oil, and finally the issue of revenue allocation should be made open for all Nigerians to contribute in the true spirit of democracy. (shrink)

The development of manufacturing technologies for new materials involves the generation of a large and continually evolving volume of information. The analysis, integration and management of such large volumes of data, typically stored in multiple independently developed databases, creates significant challenges for practitioners. There is a critical need especially for open-sharing of data pertaining to engineering design which together with effective decision support tools can enable innovation. We believe that ontology applied to engineering (OE) represents a viable strategy for the (...) alignment, reconciliation and integration of diverse and disparate data. The scope of OE includes: consistent capture of knowledge pertaining to the types of entities involved; facilitation of cooperation among diverse group of experts; more effective ongoing curation, and update of manufacturing data; collaborative design and knowledge reuse. As an illustrative case study we propose an ontology focused on the representation of composite materials focusing in particular on the class of Functionally Graded Materials (FGM) in particular. The scope of the ontology is to provide information about the components of such materials, the manufacturing processes involved in creation, and diversity of application ranging from additive manufacturing to restorative dentistry. The ontology is developed using Basic Formal Ontology (BFO) and the Ontology for Biomedical Investigations (OBI). (shrink)

The Ontology for Biomedical Investigations (OBI) is an ontology that provides terms with precisely defined meanings to describe all aspects of how investigations in the biological and medical domains are conducted. OBI re-uses ontologies that provide a representation of biomedical knowledge from the Open Biological and Biomedical Ontologies (OBO) project and adds the ability to describe how this knowledge was derived. We here describe the state of OBI and several applications that are using it, such as adding semantic expressivity to (...) existing databases, building data entry forms, and enabling interoperability between knowledge resources. OBI covers all phases of the investigation process, such as planning, execution and reporting. It represents information and material entities that participate in these processes, as well as roles and functions. Prior to OBI, it was not possible to use a single internally consistent resource that could be applied to multiple types of experiments for these applications. OBI has made this possible by creating terms for entities involved in biological and medical investigations and by importing parts of other biomedical ontologies such as GO, Chemical Entities of Biological Interest (ChEBI) and Phenotype Attribute and Trait Ontology (PATO) without altering their meaning. OBI is being used in a wide range of projects covering genomics, multi-omics, immunology, and catalogs of services. OBI has also spawned other ontologies (Information Artifact Ontology) and methods for importing parts of ontologies (Minimum information to reference an external ontology term (MIREOT)). The OBI project is an open cross-disciplinary collaborative effort, encompassing multiple research communities from around the globe. To date, OBI has created 2366 classes and 40 relations along with textual and formal definitions. The OBI Consortium maintains a web resource providing details on the people, policies, and issues being addressed in association with OBI. (shrink)

Statistics play a critical role in biological and clinical research. However, most reports of scientific results in the published literature make it difficult for the reader to reproduce the statistical analyses performed in achieving those results because they provide inadequate documentation of the statistical tests and algorithms applied. The Ontology of Biological and Clinical Statistics (OBCS) is put forward here as a step towards solving this problem. Terms in OBCS, including ‘data collection’, ‘data transformation in statistics’, ‘data visualization’, ‘statistical data (...) analysis’, and ‘drawing a conclusion based on data’, cover the major types of statistical processes used in basic biological research and clinical outcome studies. OBCS is aligned with the Basic Formal Ontology (BFO) and extends the Ontology of Biomedical Investigations (OBI), an OBO (Open Biological and Biomedical Ontologies) Foundry ontology supported by over 20 research communities. We discuss two examples illustrating how the ontology is being applied. In the first (biological) use case, we describe how OBCS was applied to represent the high throughput microarray data analysis of immunological transcriptional profiles in human subjects vaccinated with an influenza vaccine. In the second (clinical outcomes) use case, we applied OBCS to represent the processing of electronic health care data to determine the associations between hospital staffing levels and patient mortality. Our case studies were designed to show how OBCS can be used for the consistent representation of statistical analysis pipelines under two different research paradigms. By representing statistics-related terms and their relations in a rigorous fashion, OBCS facilitates standard data analysis and integration, and supports reproducible biological and clinical research. (shrink)

Statistics play a critical role in biological and clinical research. To promote logically consistent representation and classification of statistical entities, we have developed the Ontology of Biological and Clinical Statistics (OBCS). OBCS extends the Ontology of Biomedical Investigations (OBI), an OBO Foundry ontology supported by some 20 communities. Currently, OBCS contains 686 terms, including 381 classes imported from OBI and 147 classes specific to OBCS. The goal of this paper is to present OBCS for community critique and to describe a (...) number of use cases designed to illustrate its potential applications. The OBCS project and source code are available at http://obcs.googlecode.com. (shrink)

Vaccine research, as well as the development, testing, clinical trials, and commercial uses of vaccines involve complex processes with various biological data that include gene and protein expression, analysis of molecular and cellular interactions, study of tissue and whole body responses, and extensive epidemiological modeling. Although many data resources are available to meet different aspects of vaccine needs, it remains a challenge how we are to standardize vaccine annotation, integrate data about varied vaccine types and resources, and support advanced vaccine (...) data analysis and inference. To address these problems, the community-based Vaccine Ontology (VO) has been developed through collaboration with vaccine researchers and many national and international centers and programs, including the National Center for Biomedical Ontology (NCBO), the Infectious Disease Ontology (IDO) Initiative, and the Ontology for Biomedical Investigations (OBI). VO utilizes the Basic Formal Ontology (BFO) as the top ontology and the Relation Ontology (RO) for definition of term relationships. VO is represented in the Web Ontology Language (OWL) and edited using the Protégé-OWL. Currently VO contains more than 2000 terms and relationships. VO emphasizes on classification of vaccines and vaccine components, vaccine quality and phenotypes, and host immune response to vaccines. These reflect different aspects of vaccine composition and biology and can thus be used to model individual vaccines. More than 200 licensed vaccines and many vaccine candidates in research or clinical trials have been modeled in VO. VO is being used for vaccine literature mining through collaboration with the National Center for Integrative Biomedical Informatics (NCIBI). Multiple VO applications will be presented. (shrink)

Ontologies describe reality in specific domains in ways that can bridge various disciplines and languages. They allow easier access and integration of information that is collected by different groups. Ontologies are currently used in the biomedical sciences, geography, and law. A Biomedical Ethics Ontology would benefit members of ethics committees who deal with protocols and consent forms spanning numerous fields of inquiry. There already exists the Ontology for Biomedical Investigations (OBI); the proposed BMEO would interoperate with OBI, creating a powerful (...) information tool. We define a domain ontology and begin to construct a BMEO, focused on the process of evaluating human research protocols. Finally, we show how our BMEO can have practical applications for ethics committees. This paper describes ongoing research and a strategy for its broader continuation and cooperation. (shrink)

Recenzja książki: Andrzej Pelczar, Czas i dynamika. O czasie w równaniach różniczkowych i układach dynamicznych, OBI--Kraków, Biblos-Tarnów 2003, ss. 117.

Filozofia subiektywności dotarła w XX wieku do granic swoich możliwości. Jako odpowiedź na jej ograniczenia rozmaici filozofowie podjęli próby nowego rodzaju myślenia. Takie próby to m.in. myśl dialogiczna, która pierwszy wyraz znalazła w pismach takich filozofów, jak Franz Rosenzweig, Martin Buber czy Eberhard Grisebach. Innym przykładem jest postulat powrotu do pytania o bycie Martina Heideggera. W niniejszym artykule staram się pokazać, że obie próby mają ze sobą wiele wspólnego, choć ich przedstawiciele odnosili się do siebie nawzajem raczej krytycznie, o ile (...) w ogóle to czynili. Okazuje się jednak, że myśl Martina Bubera oraz Martina Heideggera ujmują człowieka jako byt dynamiczny, który staje w obliczu nachodzącego go wezwana. Dlatego też analizuję najpierw koncepcję Martina Heideggera z okresu Bycia i czasu, następnie przedstawiam myślenie Martina Bubera, głównie w oparciu o jego traktat Ja i Ty. Na koniec dokonuję zestawienia i porównania wątków wspólnych obu filozofom, jak również zaznaczam różnice, które dzielą obie próby przekroczenia filozofii podmiotowości. (shrink)

Telewizja określana jest jako najważniejszy środek masowego przekazu a zarazem najważniejszy wynalazek XX w., który - według socjologów - zrewolucjonizował m.in. nasz styl życia oraz sposób percepcji informacji a jednocześnie ma ogromne możliwości kształtowania naszych poglądów i opinii. Powstanie telewizji nie jest związane - jak mogłoby się to wydawać - z okresem powojennym, lecz jest wynalazkiem, dla którego przesłanki technologiczne zostały stworzone już w połowie XIX w. Szersze znaczenie zdobyła ona jednak dopiero w latach trzydziestych w Niemczech jako potencjalny instrument (...) propagandy faszystów. W roku 1935 rozpoczęto po raz pierwszy nadawanie regularnego programu telewizyjnego, a w następnym przeprowadzono pierwszą relację telewizyjną z Olimpiady Sportowej w Berlinie. W okresie powojennym początki telewizji w Niemczech datują się na rok 1954, kiedy otwarto pierwszą publiczną stację telewizyjną pod nazwą ARD. W roku 1963 utworzono drugą publiczną stację telewizyjną ZDF. Powołaniu tej stacji towarzyszyły burzliwe dyskusje społeczne i polityczne. Po pierwszym okresie ostrej konkurencji obie stacje telewizyjne rozpoczęły współpracę między sobą i to zarówno na płaszczyźnie programowej, jak i produkcyjnej. Kolejnym wielkim krokiem w rozwoju telewizji było utworzenie sieci prywatnych stacji radiowych i telewizyjnych. Ich powstanie było możliwe dzięki nowej technologii przekaźnikowej, tzn. techniki satelitarnej oraz odpowiednim regulacjom prawnym. Pierwszym takim programem była - istniejąca zresztą do dzisiaj - stacja SAT 1, która rozpoczęła nadawanie swojego programu w styczniu 1995 r. Po niej powstały lawinowo następne, takie jak: RTL plus, PRO 7, Tele 5, VOX, VIVA i wiele innych. Socjologowie kultury i kulturoznawcy podkreślają, że telewizja ma ogromne możliwości przekazywania widzom informacji przede wszystkim z zakresu szeroko rozumianej kultury. Zastępuje kino, koncert i teatr. Jest oczywiście rzeczą dyskusyjną i otwartą rozpatrywanie jakości artystycznej poszczególnych programów, jednak niezmienny jest fakt, że głównym źródłem naszych informacji przede wszystkim politycznych, społecznych, ale także i kulturalnych jest telewizja. Specjaliści przewidują dalszy jej intensywny rozwój w XXI w. i to zarówno na płaszczyźnie technologicznej, jak i też programowej. (shrink)

We have begun work on two separate but related ontologies for the study of neurological diseases. The first, the Neurological Disease Ontology (ND), is intended to provide a set of controlled, logically connected classes to describe the range of neurological diseases and their associated signs and symptoms, assessments, diagnoses, and interventions that are encountered in the course of clinical practice. ND is built as an extension of the Ontology for General Medical Sciences — a high-level candidate OBO Foundry ontology that (...) provides a set of general classes that can be used to describe general aspects of medical science. ND is being built with classes utilizing both textual and axiomatized definitions that describe and formalize the relations between instances of other classes within the ontology itself as well as to external ontologies such as the Gene Ontology, Cell Ontology, Protein Ontology, and Chemical Entities of Biological Interest. In addition, references to similar or associated terms in external ontologies, vocabularies and terminologies are included when possible. Initial work on ND is focused on the areas of Alzheimer’s and other diseases associated with dementia, multiple sclerosis, and stroke and cerebrovascular disease. Extensions to additional groups of neurological diseases are planned. The second ontology, the Neuro-Psychological Testing Ontology (NPT), is intended to provide a set of classes for the annotation of neuropsychological testing data. The intention of this ontology is to allow for the integration of results from a variety of neuropsychological tests that assay similar measures of cognitive functioning. Neuro-psychological testing is an important component in developing the clinical picture used in the diagnosis of patients with a range of neurological diseases, such as Alzheimer’s disease and multiple sclerosis, and following stroke or traumatic brain injury. NPT is being developed as an extension to the Ontology for Biomedical Investigations. (shrink)