In this paper, we introduce a system that aims at supporting citizen participation in ongoing debates by gathering and openly publishing news and opinions. For citizens who are unaware of the current issues faced by their local community, it becomes helpful to link those issues to related background events as well as relevant opinions. To fulfill this goal, we extract events from news articles and append links among opinions, articles, and events. Furthermore, the linked data is published for supporting concern assessment and discussion between citizens.
The Web of Linked Data has been growing and already contained hundreds of inter- connected data sources. An easy way to transform various raw data into Linked Data to publish and link to existing data sources would be needed to evolve further the Web of Linked Data. This paper introduces software tools to support a user to generate Linked Data from raw data and discusses about current issues of these tools.
In this paper, we introduce a prototype system (LODAC-Museum) to aggregate information across multiple arts and caltural resources. We identify and associate artists and artwork from different museum collections to provide integrated views for them. Our purpose is to build an information distribution system that it can share and publish a wide range of data with the method of linked data, especially for use academic resources for arts domain and society in Japan.
From a viewpoint of knowledge engineering, it is an important task to clarify concepts of color emotions. One of methods to achieve the task is to construct an ontology. For the aspect of applications of color research, the ontological descriptions will promote implementation of knowledge on color emotion in computer-based systems. In this paper, we ontologically specified basic concepts relating to rating scales which are used to measure emotional reactions to color stimuli, and demonstrated instances of common factors shared by rating scales.
News sites such as Google News allow Internet users to look up news articles. As a more advanced service, we are attempting to develop a "Multimedia News Aggregator" framework, which retrieves groupings of news articles related to the user's interests with reconstruction in conjunction with news video. To retrieve and reconstruct suitable news articles related to the user 's requirements, we must define various news elements, such as "Abstract," "Cause," and "Effect," which compose news events, and define the concepts that compose the news elements. This paper proposes a news ontology construction technique that expresses the structure of such news events. By using Wikipedia and WordNet as sources of external knowledge, we generalize the combinations of element of news events, and the concepts of words in the elements.
We are constructing a systematic knowledge foundation in medical electric information systems. To make the foundation act effectively, we are building a medical ontology on the strict rules, which we introduced, based on the study of ontology engineering. Computers will come to treat electric documents more correctly with the reference of it. We discuss necessary application functions to extract instructive medical information in the use of the anatomical region of our ontology. Assuming some questions related with anatomic, we put basic information, which is needed to answer them, in order. As the result, a set of fundamental anatomical concepts contains two typical categories: entity and relationship.
This article discusses the ontological treatment of diseases. We define a disease as a dependent continuant constituted of one or more causal chains of clinical disorders. We introduce the core ideas of a disease as causal chain. Then, to clarify the ontological meaning of causal chains, we introduce two kinds of processes: a cumulative continuous process and a non-cumulative process. They are accounted for based on a new ontological theory of objects and processes.
To reduce the disaster risk, should be drafted to run for disaster risk management individuals and communities. In this study, we are trying to structure the knowledge of based on ontological engineering expertise on disaster risk and disaster risk management, and build "Disaster Risk Ontology". In addition, we are trying to develop the system based on Disaster Risk Ontology that efficiently provides information of disaster risk management for the public and local communities and supports their decision making of disaster prevention task. In this paper, we describe the disaster prevention task model and method for providing information using this model as a part of result of our works.
Computational simulations are expected to play an important role in understanding of unknown factors in biological phenomena. Thus, knowledge in biological phenomena is accumulated as qualitative descriptions in natural languages on literature. Construction of ontologies is adapted to translate such literature knowledge into knowledge representation available for computers. Simulations are indispensable in revealing new factors in a phenomenon which haven't been empirically observed yet. Ontologies enable such simulations to verify new factors assumed to be. In this study, we constructed a device ontology in the domain of one type of cell deaths called apoptosis. We proposed an approach to identify relationships among functions according to the device ontology.
Set theories are the theoretical foundation of Semantic Web languages, RDF and OWL, as they are the foundation of mathematical theories. The W3C document of RDF Semantics mentions Zermelo-Fraenkel (ZF) Set Theory, and the W3C document of OWL Semantics invokes the comprehension principle in order to materialize RDF entities in OWL. However, this invocation arose from misunderstandings of set theories, and what is worse, it caused misdirected criticisms against RDF and OWL Full under the pretense that 'comprehension principle allows the paradox to invade upon systems'. Aiming to rescue RDF and OWL Full theory from such theoretical disorder, this paper firstly reviews the history of comprehension principle in set theories, and gives an overview of set theories of Cantor, ZF, and additionally KIF 3.0. Then, the theoretical foundation of OWL Full is introduced with the discussion of Russell's Ramified Type Theory.
The purpose of this paper is to propose the method of constructing body of knowledge (BOK) of study area by analyzing a syllabus. The structure of BOK is defined by three hierarchies (the area, the unit, and the topic). We have a subject correspond to the unit. The area is made from group of subjects, and the topic is made from words and phrases extracted from a syllabus. We found that the topic extraction reduces the cost to construct BOK at early stage, and the area made by clustering is effective as the reference material to construct a hierarchical relation.
Metadata are used to organize and find information resources by Internet search services. These metadata expressed in various formats such as RSS, RDFa and GRDDL. However, the usability of metadata isn't enough for the end users. We propose a model to enhance usability of metadata to help end users find and access information resources.
We have previously proposed manga metadata schemas for bibliography information, intellectual entities, structures of visual objects on pages, and so on. This paper describes a platform for these metadata schemas, on which manga applications such as manga search systems and manga production applications can be built.