| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 690 | 13 | 20 | 8 |
Applied Ontology is mainly concerned with subjects like Ontology (information science), Knowledge management, Upper ontology, Information retrieval and Process ontology. It focuses on Ontology (information science) but the discussions also offer insight into other areas such as World Wide Web, Software engineering and Data science. The journal tackles research in Semantic Web as part of the general discipline of World Wide Web, however, it also discusses concepts in Summit.
The study on Knowledge management presented in the journal intersects with subjects under the field of Variety (cybernetics). The featured Upper ontology studies mainly concentrate on Ontology-based data integration but also cover areas of interest in Ontology Inference Layer. The journal facilitated presentations on Process ontology research, particularly Suggested Upper Merged Ontology, Ontology components, Formal ontology and IDEF5.
The work on Suggested Upper Merged Ontology tackled in Applied Ontology brings together disciplines like OWL-S and Natural language processing. The research on Applied ontology featured in Applied Ontology combines topics in other fields like Epistemology and Ontology. Aside from investigating topics in Mereology under Epistemology, it also explores concepts in Perspective (graphical) and Function (engineering).
The journal articles aim to foster the development of research in Ontology (information science), Knowledge management, Process ontology, Software engineering and Epistemology. Aside from investigating topics in Open Biomedical Ontologies, Ontology-based data integration and Upper ontology under Ontology (information science), the published papers also explore concepts in Development (topology). The journal articles facilitate discussions on Epistemology that incorporate concepts from other fields like Relevance (information retrieval) and Basic Formal Ontology.
The journal covers a variety of subjects, including Ontology (information science), Data science, Systematic review, Programming language and World Wide Web. The concepts on Ontology (information science) presented in the journal can also apply to other research fields, including Theoretical computer science, Knowledge management, Iterative and incremental development, Traceability and Legal domain. It facilitates the exploration of Systematic review in relation to the field of Smart campus.
The journal facilitates discussions in Semantics (computer science), Identifier and Event calculus as part of the larger field of Programming language, however, it also tackles fields such as RuleML. The World Wide Web works featured in the journal incorporate elements from State (computer science) and Knowledge graph.
A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.
The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.
The top authors publishing in Applied Ontology (based on the number of publications) are:
The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.
Only papers with recognized affiliations are considered
The top affiliations publishing in Applied Ontology (based on the number of publications) are:
The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.
The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.
The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.
During the most recent 2021 edition, 18.75% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 15.38% were posted by at least one author from the top 10 institutions publishing in the journal. Another 7.69% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 30.77% of all publications and 46.15% were from other institutions.
A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.
The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.
The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.
Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).
The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
In addition to its wide-ranging research applications like Software Engineering, Knowledge Management, and Process Ontology, the principles of Applied Ontology can also be beneficial in the field of education – specifically in adjusting and enhancing teaching methodologies. By harnessing the ability of Ontology to structure complex sets of data and information, educators can develop more specific and efficient strategies targeting the individual needs of students. For instance, a high school history teacher could use ontology to organize historical events, figures, and ideas into an interconnected web of knowledge, creating a more holistic educational experience for their students. Applying ontology to teaching provides an opportunity to deviate from classical rote learning, and it allows students to understand the relationships between different historical factors more effectively, thus enhancing their overall understanding and retention of the subject matter. So, how can a teacher integrate ontology research into their teaching practice? On our website, those aspiring to be a history teacher can find a comprehensive guide on how to structure their teaching according to ontology principles how to become a high school history teacher in Alabama. This guide provides not only professional requirements for becoming a history teacher in Alabama but also dives deep into the pedagogical methodology backed by ontology research. Therefore, by integrating applied ontology into teaching practices, educators can create a more engaging learning environment, making complex subjects more understandable and memorable for their students. Successful integration of ontology not only enhances teaching methodologies but it can also enrich students' learning outcomes significantly.
Unknown
(2021)Riichiro Mizoguchi;Stefano Borgo
(2021)Stefano Borgo;Roberta Ferrario;Aldo Gangemi;Nicola Guarino
(2021)João L. R. Moreira;Luís Ferreira Pires;Marten van Sinderen;Laura Daniele
(2020)Bahar Aameri;Michael Grüninger
(2020)Ken Baclawski;Michael Bennett;Gary Berg-Cross;Todd Schneider
(2021)Fernando Martínez-Santiago;M. Rosario García-Viedma;John A. Williams;John A. Williams;Luke T. Slater;Luke T. Slater
(2020)Exploring online degrees in Computer Science offers flexible and affordable options for many students. For those looking to balance studies with work or other commitments, enrolling in the cheapest self-paced online college programs can be a great start. These options allow learners to progress at their own speed without sacrificing quality.
For advanced career goals, pursuing one of the cheap online masters programs can enhance expertise and open doors to leadership roles in tech industries. These master’s degrees often combine affordability with comprehensive curricula designed for working professionals.
Meanwhile, for individuals seeking a quicker entry into the tech workforce or foundational knowledge, identifying what's the easiest associate's degree to get can help streamline the decision-making process. Associate degrees in computer science or IT can serve as stepping stones to bachelor's programs or immediate employment.
When choosing programs, it’s crucial to consider accreditation and reputation. Opting for the best online degree programs ensures that the education you receive meets rigorous standards and is recognized by employers nationwide.
