This paper proposes a spatial functional representation intended to explicitly describe spatial meaning in our daily life and to utilize it for advanced location-based information services. The merit of our representation is threefold: (i) it considers a space as an artifact; a space is described from its function, property and structure. (ii) a space has different meanings to different persons; thus our representation conditions a spatial function by user type. (iii) not only physical function but also social function is considered; a space has a social meaning, and our representation describes spatial meaning both physically and socially. We detail the representation and show an application of an advanced navigation, what we call spatial function retrieval, by reasoning based on that representation.

We reported the system which collect and arrange information about a keyword based on ontology. This paper describes keyword extraction from a document using named entity tagging technology, and information collection about the keyword. Some issues, especially person identify which we call "Yamada-san problem", are presented.

The research of nanotechnology is extended in various domains, and each domain intertwines with each other closely. Therefore, sharing the knowledge in common among different domains contributes to facilitate research in each domain through cross fertilization. In this background, the Structuring Nanotechnology Knowledge project, which is a NEDO (Japanese New Energy and Industrial Technology Development Organization) funded national project, has been carried out. The goal of the project is to build a material-independent platform for supporting development of innovative nano-materials. It is not a database, a set of simulation tools or a knowledge base, but is an integrated environment composed of structured knowledge supported by advanced IT. Among many factors, the authors have been involved in building ontology of nanotechnology and its application to knowledge systematization. The key issues of knowledge structuring include how to harmonize different terminologies and viewpoints of the respective domains and how to interface end users with the platform. Ontology of nanotechnology plays a role of glue for seamless connection between different domains and between users and the platform, since it provides us with a conceptual infrastructure of nanotechnology and with a unified framework in which functional knowledge for conceptual design of nanotechnology-made materials and devices and their realization processes. In this paper, we outline the use of Ontology in this project.

Semantic Web is a promising application area for Lisp programming language as well as Prolog, because basic requirements for semantic web processing such as axiom, entailment, and constraint are also basic vocabularies and infrastructure of inference in AI. Roughly speaking, from the viewpoint of the implementation, semantic web processors fall into a few categories; statement-based (XML-based), graph-based (triple-based), and frame-based or object-based. Despite that there are diverse implements on semantic web processors and toolkits in various programming languages; there is only one implement in Lisp, that is subject-predicate-object triple based. We have developed an object-based RDFS processor on CLOS using the Meta-Object Protocol, with straightforward mapping of RDFS class to CLOS class and RDFS individual to CLOS instance. By this mapping, we have obtained an efficient performance of processing instead of the difficulty of implementation. This paper describes an implementation of the processor on CLOS, and discusses ideas to extend it to OWL. We claim that the ends of Semantic Web processing will be attained through this approach, namely meta-object reflective approach, since CLOS is one of reflective languages and the processor is expected to provide meta-modeling facilities in OWL Full level.

Semantic Web Services coined with Semantic Webs and Web Services has become to be deemed a cornerstone for the next generation of IT. Autonomous agents that discover, composite, and invoke Web Services without human intervention will play an important role to fulfill the hype in IT industry, accompanied with task and domain ontology on everyday life. In this paper, the ascription and description of Semantic Web Service Agents to task and domain ontology is discussed, and a general architecture for Semantic Web Service Agents are investigated. The agents should be cognitive at not only annotated Web contents (domain ontology) and Web Services (task ontology) but also changes in the outer-world, be a situated planner, and be capable of learning from experience. We need an intelligent framework for the universal agent that performs task ontology with situated awareness and planning.

We propose the novel method can construct search results to improve user information retrieval. Existing search engines return search results including user query as the answer of user query by the keyword matching method. The most of Web contents are not constructed data and variety function, these engines utilize the keyword matching method performed for constructed data nevertheless. Therefore the search results, collected of web contents under the same query, are also non constructed and leading to prevent user from information retrieval activity. To solve this problem, we propose the novel method that can construct search results. Our proposed construction is composed of five factor web content category, function, type, author and date of update. Our proposed method focus on the hyperlink structure like Web, Web contents place an anchor text and refer to other contents, and estimates the content's type by using the anchor text, and construct search results based on their function. Because the constructed search results help user to seek contents meet user need, this method can not only improve user information retrieval but also simplify to extract information from web contents.