The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In this paper we propose the integration of computer vision with accelerometry in order to provide a precise localization solution. In terms of accelerometry, our approach makes use of a single off-the-shelf accelerometer on the waist to precisely obtain the velocity of the user. This allows us to calculate the kinetic energy of the person being tracked, and link the accelerometry data with the computer...
The following article describes two approaches to determining the geo-coordinates of the recording place of Flickr videos based on textual metadata. The systems are tested on the MediaEval 2010 Placing Task evaluation data, which consists of 5091 unfiltered test videos and metadata records. The first system is a data-driven approach that uses a heuristics based on the spatial variance of tags. The...
The problem of semantic similarity across heterogeneous geospatial data sources continues to attract interest. Semantic similarity across data sources typically involves 1:1 matching of attributes and their instances between tables. Using clustering methods, three distinct challenges remain unaddressed. First, many clustering algorithms rely only on one instance property. Second, a consistent score...
Model-driven development (MDD) drastically changes the traditional view of software modeling, which no longer serves merely as documentation that will be put aside at a certain point during the development. Instead, MDD has made models an integral part of the development process. As a result, software designers and developers can focus on high-level problem solving instead of low-level implementation...
Within context-aware computing, there is a growing interest in linking localization technologies with activity recognition in a cooperative way. Existing research works in this field face two main difficulties: lack of accuracy in their solutions and/or sophisticated hardware requirements. To avoid these issues, we present a light-weight, low-cost and high-accuracy system for localization and activity...
Many ontology alignment algorithms augment syntactic matching with the use of WordNet (WN) in order to improve their performance. The advantage of using WN in alignment seems apparent. However, we strike a more cautionary note. We analyze the utility of WN in the context of the reduction in precision and increase in execution time that its use entails. For this analysis, we particularly focus on real-world...
In social network analysis, models for the representation of user's interactions do not explain which actions are performed during social interactions, and which types of media are used in the interactions. We present a novel technique for the representation of social interactions as users' behavioral contingencies in the form of if-then rules, and for the evaluation of the contingencies using data...
This paper describes the creation of, and serves as a request for comment on the SemML language for markup of semantic relational information. The major goal of the SemML project is to create a language that can act as an inter-lingua for a variety of semantic computing applications. In this paper, we discuss the structure of the language, and the ways it which it allows for recursively defined complex...
Social networks today represent a substantial amount of shared knowledge and information. To leverage the interdependence of this data, we consider two forms of relational learning to facilitate semantic understanding. First, relational modeling is applied to local networks to reinforce knowledge in each entity. Then, a social dimension approach is applied to generate new (high level) features. These...
Pervasive computing systems including smart phones, home computing systems, or intelligent home appliances collect and store more and more information about users. The amount of information that is constantly being accumulated for each user is enormous. Collected information comprises the user's digital data like messages, online social network connections, or tweets and the user's physical context...
Automatic understanding of GUI (Graphic User Interfaces) is vitally important for applications such as quality assurance, user monitoring, speech activated devices, automatic generation of GUI for application accessibility, and GUI design. Likewise, automatic understanding of visually structured documents (e.g. PDF files) is vitally important for data mining purposes. Current GUI parsers share two...
The goal of this work is to automatically detect frequently occurring groups of media in a user's collection that have a unifying theme. These groups provide a narrative structure that ties in images that are temporally far apart and cannot be browsed easily. The media in the collection is analyzed by a variety of algorithms to generate metadata of different types. The media and associated metadata...
With the proliferation of connected devices and the widespread adoption of the Web, ubiquitous computing success has recently been brought into the fashion of an emergent paradigm called the 'Web of Things', where Web-enabled objects are offered through interconnected smart spaces. While some predict a near future with billions of Web-enabled objects, the success of this vision now depends on the...
We present a wiki-based collaborative environment for the semi-automatic incremental building of ontologies. The system relies on an existing platform, which has been extended with a component for terminology extraction from domain-specific textual corpora and with a further step aimed at matching the extracted concepts with pre-existing structured and semi-structured information. The system stands...
Modern search engines provide users with suggested query completions. These search suggestions are often ambiguous in nature and could refer to any number of homonyms. Previously we used a static ontology built from data in Wikipedia to address this issue. Here, we present a method for dynamically building an ontology of "famous people" based on mining the suggested completions of a search...
Wikipedia is emerging as the dominant global knowledge repository. Recently, large numbers of users have collaborated to produce more structured information in the so called "info boxes''. However, editing this data requires even more care than editing standard wikitext, as one must follow arcane template syntax. This paper describes WiGipedia, a novel tool which provides an alternative to the...
Sensor networks are often deployed with the purpose of providing data to large-scale information management and GIS systems, or to collect measurements for specific scientific experiments. The benefits of such use are clear and widely accepted. The reuse of observations in low-cost, lightweight, web applications and mashups is a further compelling use case for sensor networks, but requires provision...
The vision of creating a Linked Data Web brings together the challenge of allowing queries across highly heterogeneous and distributed datasets. In order to query Linked Data on the Web today, end-users need to be aware of which datasets potentially contain the data and also which data model describes these datasets. The process of allowing users to expressively query relationships in RDF while abstracting...
The paper presents Relation Based Access Control RelBAC, a model and a logic for access control which models communities, possibly nested, and resources, possibly organized inside complex file systems, as lightweight ontologies, and permissions as relations between subjects and objects. RelBAC allows us to represent expressive access control rules beyond the current state of the art, and to deal with...
As the number and sophistication of on-line applications increase, there is a growing concern on how access to sensitive resources (e.g., personal health records) is regulated. Since ontologies can support the definition of fine-grained policies as well as the combination of heterogeneous policies, semantic technologies are expected to play an important role in this context. But understanding the...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.