Takafumi Nakanishi

Approaching the Interconnection of Heterogeneous Knowledge Bases on a Knowledge Grid

This paper presents a method for the interconnection of heterogeneous knowledge bases on a knowledge grid for knowledge sharing and provision. Various knowledge bases have been created by using collaborative editing environments such as Wiki in each field. Each knowledge base exists independently. On the other hand, an event affects various aspects of an area, field or community. Therefore, in todays global environment, it is important to transmit significant knowledge related to accidental or irregular events to actual users from various knowledge bases. In this paper, we propose a method for the extraction of related items across heterogeneous fields by interconnecting each knowledge base arranged on a knowledge grid.

Interconnection of heterogeneous knowledge bases and its application on Knowledge Grid

Recently, the number of users who use search engines for not only retrieving Web pages but also understanding or learning an arbitrary concept has been increasing. However, it is difficult to understand and learn an arbitrary concept by using the existing search engines. This paper presents a method for the interconnection of heterogeneous knowledge bases on Knowledge Grid for knowledge sharing and provision. In this paper, for realizing the proposed method, we introduce two types of services—intra‐operation services and inter‐operation services—on Knowledge Grid. The system dynamically creates a semantic associative network that connects the users interests and concepts, and provides correlation views that represent various relationships for connecting related resources. In addition, we employ a link‐free browsing system by this method called correlation browsing, which represents the semantic association utilizing collective knowledge by connecting various knowledge bases. The current web browsing has two actions—browsing and jumping by static hyperlinks. It is difficult to understand the relationship between each page that is connected by static hyperlink. The system navigates the related contents while repeatedly switching between a content browsing mode and a correlation browsing mode. Therefore, a user can access various contents while understanding the relationships. Copyright

KC3 browser: semantic mash-up and link-free browsing

This paper proposes a general framework of for a system with a semantic browsing and visualization interface called Knowledge Communication, Collaboration and Creation Browser (KC3 Browser) integrates multimedia contests and web services on the grid networks, and makes a semantic mash-up called knowledge workspace (k-workspace) with various visual gadgets according to users contexts (e.g. their interests, purpose and computational environments). KC3 Browser also achieves a link-free browsing for seamless knowledge access by generating semantic links based on an arbitrary knowledge models such as ontology and vector space models. It assists users to look down and to figure out various social and natural events from the web contents. We have implemented a prototype of KC3 Browser and tested it to an international project on risk intelligence against natural disaster.

Context-Based Web Service Clustering

Under web service environment, services’ calling or called relationships are usually represented as links. Based on link- or link-content analysis, it may produce tight clusters, which is useful for resource management. However current work only considers the existence of collaboration and it seldom takes service usage context into consideration. In this paper, we suppose to cluster similar services by introducing service usage context which is the complete stories for services’ activities and helps to improve clustering performance. Being different with link- or link-content-based clustering methods that considering one-linkdistance-away-neighbors (part of the activity story), this work proves that in team-up work situation, all collaborators (long-distance-neighbor) can provide information for distinguishing services.

A Context Dependent Dynamic Interconnection Method of Heterogeneous Knowledge Bases by Interrelation Management Function

This paper presents an interconnection method for heterogeneous knowledge bases depending on users interests as a context. Various knowledge bases have been created in each field by using collaborative working environments such as Wiki. One of the important issues is how to interconnect these knowledge bases and represent the relationships between various concepts in heterogeneous fields. An event affects various aspects of an area, field, or community. In order to understand an arbitrary event or concept, it is necessary to find various relationships over heterogeneous fields. Generally, the relationships over heterogeneous fields strongly depend on contexts and situations. It is important to realize the dynamic interconnection of knowledge bases depending on contexts and situations. Therefore, we design an interrelation management function (IMF) that defines the operator for interconnection data. In this paper, we propose a framework for a context-dependent dynamic interconnection method by using the interrelation management function.

SAVVY: A Semantic Associative Browsing System for Heterogeneous Knowledge Resources

This paper presents a semantic associative browsing system called Semantic Association Various Viewpoint sYstem (SAVVY). Recently, the number of users who employ search engines for not only retrieving Web pages but also understanding or learning an arbitrary concept has been increasing. It is difficult to understand and learn an arbitrary concept by using most of the current search engines, because they provide a list of results according to the input

Spoken Dialog System for Next Generation Knowledge Access

This paper described our development dialog system on Kyoto tourist information assistance. Dialog part of our system helped user to make an appropriate query. Information analysis part would be assisted for user to select the retrieved information. Nowadays we can get most information through the Internet. However, we have a trouble to pick up expected information from the huge results with conventional search engines. Especially in mobile terminal, we are confronted with great difficulties for two factors. One is that most of users cannot make an appropriate query because their request is vague with theirselves. The other is that the retrieved information has huge variation and mobile terminal has small area for displaying them. Therefore, we aim to develop technologies for the users to input their requests by familiar way and clarify what they want to know with displaying the retrieved information with suitable method.

Dynamic Cross-domain Link Creation for Interconnection of Heterogeneous Knowledge Bases

This paper presents a method for the creation of dynamic cross-domain links for interconnection of heterogeneous knowledge bases. The proposed method represents various relationships in heterogeneous fields and navigates to related contents in these heterogeneous fields. Most information resources are connected by static links that do not describe the significance of the connections. Recently, it has been important for a lot of users to employ search engines not only for retrieving Web pages but also for understanding or learning semantic concepts. However, in the current Web environment, it remains difficult for a user to understand the relationships among arbitrary concept. The proposed method dynamically creates links between heterogeneous fields depending on the user context. The method obtains various related information resources between heterogeneous fields while understanding various relationships among arbitrary concepts. Our approach has functions for the reconfiguration of Web resources and legacy knowledge bases by dynamic links creation.

A construction method of a retrieval space by an evaluation of word distributions in documents

This paper presents a new construction method of a retrieval space by an evaluation of word distributions in documents. In order to realize a semantic associative search, it is necessary to construct a retrieval space which enables measurement of relations between each word. A creation method of retrieval space has been proposed that creates a data matrix by using a dictionary or a term dictionary. However, it is difficult to create a retrieval space without a dictionary or a term dictionary. This method can construct a retrieval space which enables measurement of relations between each word by an evaluation of word distributions in documents. This paper shows some experimental results which applied the mathematical model of meaning to the retrieval space constructed by this method.

A construction method of a metadata space based on relations between words from an index of a book

A large amount of information resources for a specific field have been distributed in wide area networks. One of the most important issues is how to extract appropriate information in such environment for a specific field. This paper presents a construction method of a metadata space from an index of a book for a specific field. In order to search high quality information on a specific field, it is necessary to construct a metadata space which enables measurement of relations between each expert word for the field. This method needs neither a dictionary nor specialized knowledge. This method enables construction of a metadata space for an expert field easily.