An architecture for scaling ontology networks

Constructing ontology networks typically occurs at design time at the hands of knowledge engineers who assemble their components statically. There are, however, use cases where ontology networks need to be assembled upon request and processed at runtime, without altering the stored ontologies and without tampering with one another. These are what we call "virtual [ontology] networks", and keeping track of how an ontology changes in each virtual network is called "multiplexing". Issues may arise from the connectivity of ontology networks. In many cases, simple flat import schemes will not work, because many ontology managers can cause property assertions to be erroneously interpreted as annotations and ignored by reasoners. Also, multiple virtual networks should optimize their cumulative memory footprint, and where they cannot, this should occur for very limited periods of time. We claim that these problems should be handled by the software that serves these ontology networks, rather than by ontology engineering methodologies. We propose a method that spreads multiple virtual networks across a 3-tier structure, and can reduce the amount of erroneously interpreted axioms, under certain raw statement distributions across the ontologies. We assumed OWL as the core language handled by semantic applications in the framework at hand, due to the greater availability of reasoners and rule engines. We also verified that, in common OWL ontology management software, OWL axiom interpretation occurs in the worst case scenario of pre-order visit. To measure the effectiveness and space-efficiency of our solution, a Java and RESTful implementation was produced within an Apache project. We verified that a 3-tier structure can accommodate reasonably complex ontology networks better, in terms of the expressivity OWL axiom interpretation, than flat-tree import schemes can. We measured both the memory overhead of the additional components we put on top of traditional ontology networks, and the framework's caching capabilities.

The Art of Aidagara: Ethics, Aesthetics, and the Quest for an Ontology of Social Existence in Watsuji Tetsurō’s Rinrigaku

This paper provides an analysis of the key term aidagara (“betweenness”) in the philosophical ethics of Watsuji Tetsurō (1889-1960), in response to and in light of the recent movement in Japanese Buddhist studies known as “Critical Buddhism.” The Critical Buddhist call for a turn away from “topical” or intuitionist thinking and towards (properly Buddhist) “critical” thinking, while problematic in its bipolarity, raises the important issue of the place of “reason” versus “intuition” in Japanese Buddhist ethics. In this paper, a comparison of Watsuji’s “ontological quest” with that of Martin Heidegger (1889-1976), Watsuji’s primary Western source and foil, is followed by an evaluation of a corresponding search for an “ontology of social existence” undertaken by Tanabe Hajime (1885-1962). Ultimately, the philosophico-religious writings of Watsuji Tetsurō allow for the “return” of aesthesis as a modality of social being that is truly dimensionalized, and thus falls prey neither to the verticality of topicalism nor the limiting objectivity of criticalism.

The FORA Framework - A Fuzzy Grassroots Ontology for Online Reputation Management

Online reputation management deals with monitoring and influencing the online record of a person, an organization or a product. The Social Web offers increasingly simple ways to publish and disseminate personal or opinionated information, which can rapidly have a disastrous influence on the online reputation of some of the entities. The author focuses on the Social Web and possibilities of its integration with the Semantic Web as resource for a semi-automated tracking of online reputations using imprecise natural language terms. The inherent structure of natural language supports humans not only in communication but also in the perception of the world. Thereby fuzziness is a promising tool for transforming those human perceptions into computer artifacts. Through fuzzy grassroots ontologies, the Social Semantic Web becomes more naturally and thus can streamline online reputation management. For readers interested in the cross-over field of computer science, information systems, and social sciences, this book is an ideal source for becoming acquainted with the evolving field of fuzzy online reputation management in the Social Semantic Web area. ​