Search

In the Web world, one user creates and uploads a Web document about a phenomenon or event in the physical world, while another user retrieves and consumes Web documents by submitting a Web query. There have been many researches to mine Web documents in the exploding Web world, especially User Generated Content such as weblogs and microblogs, for knowledge about various phenomena and events in the physical world, and also Web services with the Web-mined knowledge have been made available for the public. However, there are few detailed investigations on how accurately Web-mined data reflect physical-world data. It must be socially-problematic to immoderately utilize the Web-mined data in public Web services without ensuring their accuracy sufficiently. Therefore, the previous papers introduced various Web Sensors to extract spatiotemporal data about a target phenomenon from Web documents searched by keyword(s) representing the target phenomenon, and tried to validate the potential and reliability of the Web-sensed spatiotemporal data. Moreover, this paper compares spatio-temporal Web Sensors analyzing Web queries and/or Web documents. 

To enable us to select the only scenes that we want to watch in a baseball video and personalize its highlights subvideo, we require an Automatic Baseball Video Tagging system that divides a baseball video into multiple sub-videos per at-bat scene automatically and also appends tag information relevant to at-bat scenes. The previous paper proposed several Tagging algorithms using ball-by-ball textual report and voice recognition. To improve our system, this paper introduces a more refined model for baseball games, and performs comparative experiments on models with regard to their recall, precision, and F-measure.

This paper introduces the concept of Secure Spaces, one step ahead of Smart Spaces, on information security. We define Secure Spaces as physically isolated environments in which any resource is completely protected from its unauthorized objects with respect to information security. In other words, only if inside them, any information resource is completely protected from being accessed by its unauthorized visitors, and any visitor is completely protected from being exposed to her unwanted information resources. To build such a secure Smart Space, we propose a formalized model and architecture for space entry control based on its dynamically changing contents such as its visitors, physical information resources, and virtual information resources via its embedded output devices.

We experience or forecast various phenomena (e.g., rain, snow, earthquake) in the physical world, while we carry out various actions (e.g., blogging, searching, e-shopping) in the Web world. There have been many researches to mine the exploding Web world for knowledge about various phenomena and events in the physical world, and also Web services with the Web-mined knowledge have been made available for the public. However, there are few detailed investigations on how accurately Web-mined data reflect physical-world data. It must be socially-problematic to idolatrously utilize the Web-mined data in public Web services without ensuring their accuracy sufficiently. This paper introduces temporally-shifted Web Sensors with a temporal shift parameter δ to extract spatiotemporal numerical value about a physical phenomenon from Web documents searched by linguistic keyword(s) representing the physical phenomenon, and analyzes the spatiotemporal dependency of the temporal shift parameter δ with respect to their coefficient correlation with Japan Meteorological Agency's spatiotemporal statistics.

Various Web contents exist on the Internet in recent years, and are used by many users. But some people are so fascinated by and absorbed in Web contents that their everyday life is affected. Such a person yields to the temptation because of her/his weak will, even if s/he tries to control her/his Web access by self-control. Moreover, it is difficult for such a person to overcome the temptation because there are few tools to help her/his self-control. Then, this paper proposes a method that applies the filtering technology conventionally used for access restriction to self-control over Web access, and allows users to control their own Web access. Specifically, we create a prototype Web browser that has four functions to filter Web pages: a filtering based on their content, a filtering based on their ID (URL), a filtering based on their actions (buttons) such as purchasing and playing, and a time-based filtering.

In public spaces, there are a number of different contents such as visitors, physical information resources, and virtual information resources via their embedded output devices. Therefore, we might unexpectedly enter the public spaces that have our unauthorized contents and/or unwanted characteristics, i.e., they are not always secure and safe. To solve this problem, my previous work has introduced the concept of “Secure Spaces”, physical environments in which any visitor is protected from being pushed her unwanted information resources on and also any information resource is always protected from being accessed by its unauthorized visitors, and the model and architecture for space entry control and information access control based on their dynamically changing contents. Aiming to build more flexible Secure Spaces, this paper proposes an extended model for not only spatial entry control but also Ability-Based Expression Control according to how preferentially a virtual information resource should be outputted in a Secure Space where shared by visitors with perceptibility and understandability of the virtual information resource's content and expression.

Many researches on mining the Web, especially CGM (Consumer Generated Media) such as Web logs, for knowledge about various phenomena and events in the physical world have been done actively, and Web services with the Web-mined knowledge have begun to be developed for the public. However, there is no detailed investigation on how accurately Web-mined data reflect real-world data. It must be problematic to idolatrously utilize the Web-mined data in public Web services without ensuring their accuracy sufficiently. Therefore, this paper defines the basic Web log Sensor with a neutral, positive, or negative description for a target phenomenon, and their linearly-combined Web log Sensors, and tries to validate the potential and reliability of these Web log Sensors' spatio-temporal data by measuring the correlation with weather (precipitation) and earthquake (maximum seismic intensity and number of felt quakes) statistics per day by region of Japan Meteorological Agency as real-world data.

Concept hierarchy knowledge, such as hyponymy and meronymy, is very important for various natural language processing systems. While WordNet and Wikipedia are being manually constructed and maintained as lexical ontologies, many researchers have tackled how to extract concept hierarchies from very large corpora of text documents such as the Web not manually but automatically. However, their methods are mostly based on lexico-syntactic patterns as not necessary but sufficient conditions of hyponymy and meronymy, so they can achieve high precision but low recall when using stricter patterns or they can achieve high recall but low precision when using looser patterns. Therefore, we need necessary conditions of hyponymy and meronymy to achieve high recall and not low precision. In this paper, not only "Property Inheritance'' from a target concept to its hyponyms but also "Property Aggregation'' from its hyponyms to the target concept is assumed to be necessary and sufficient conditions of hyponymy, and we propose a method to extract concept hierarchy knowledge from the Web based on property inheritance and property aggregation.

Concept hierarchies, such as hyponymy and meronymy relations, are very important for various natural language processing systems. Many researchers have tackled how to mine very large corpora of documents such as the Web for them not manually but automatically. However, their methods are mostly based on lexico-syntactic patterns as not necessary but sufficient conditions of concept hierarchies, so they can achieve high precision but low recall when using stricter patterns or they can achieve high recall but low precision when using looser patterns. In this paper, property inheritance from a concept to its hyponyms is assumed to be necessary and sufficient conditions of hyponymy relations to achieve high recall and not low precision, and we propose a method to acquire hyponymy relations from the Web based on property inheritance.

In public places, information can be accessed by its unauthorized users, while we are sometimes forced to access our unwanted information unexpectedly. We have introduced the concept of Secure Spaces, physical environments where any information is always protected from its unauthorized users, and have proposed a content-based entry control model and an architecture for Secure Spaces which protect their contents' freedom of information delivery but do not protect their visitors' freedom of information access. This paper aims at building truly Secure Spaces which protect both freedoms and enhances our proposed model.

It has recently become a common practice for people to post their sightseeing experiences on weblogs (blogs). Their blog entries often contain valuable information for potential tourists, who can learn about various aspects not found on the official websites of sightseeing spots. Bloggers provide images, videos and texts regarding the places they visited. This implies that popular travel routes could be extracted according to the information available in blogs. In this paper, we describe a system that extracts typical visitor's travel routes based on blog entries and that presents multimedia content relevant to those routes. Typical travel routes are extracted by using a sequential pattern mining method. We also introduce a new user interface for presenting multimedia content along the route in a proactive manner. The system works as an automatically generated tour guide accessible from a PC or a mobile device.

We define "Secure Space" as a physical space in which any resource is always protected from its unauthorized users in terms of enforcing its authorization policies assuredly. Aiming to build such secure spaces, this paper proposes an architecture and a model for space entry control based on its dynamically changing contents, such as users, physical resources and virtual resources outputted by some embedded devices. We first describe the architecture and then formalize the model and mechanism for secure spaces.