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2012, Proceedings of the 2012 Joint EDBT/ICDT Workshops on - EDBT-ICDT '12
The advent of contemporary mobile devices and their increasing computing power and location capabilities combined with the most innovative Web technologies has provided mobile users with new possibilities to share experiences on-the-go. The growing quantity of multimedia content present on the Web makes it difficult for mobile users to retrieve suitable content. Typically, users looking for interesting content related to their current position or POI (point of interest), access Web search engines relying on keywords to describe their ideas. Unfortunately such descriptions are often subjective and thus retrieval can be ineffective. To address these issues, our platform provides users with an application targeted for modern mobile devices that allows content acquisition and publication. Published content is automatically analyzed and stored on our server with semantic annotations based on the user's context and content, for further semantic search. We describe how and why we migrated from a triple-tags technology to semantics, hoping for related Linked Data.
Ubicomp 2006 workshop on Pervasive Image …, 2006
We present the results of three studies on the use of contextual metadata tags to find personal photographs. Specifically we address the use of time, event, and location tags to allow users to find media from their collections. We found that users need to be provided with flexible ways to browse their content and that they remember quite different attributes of each piece of content. Finally, we discuss the need for flexible photo search to support photo sharing and photo talk, two key uses of photographs.
Lecture Notes in Geoinformation and Cartography, 2012
While mobile applications typically offer access to standardized ‚basic' geo-content, there is evidence in the human sciences that people actually prefer subjective information sources for decision making, e.g. personal stories about experiences by family and friends. The success story of content communities in web applications confirms the wide acceptance of innovative information systems that offer the potential to consume, to produce and to rate personalized data. Therefore in this paper an approach for a mobile, interactive and integrated system is presented that do not only deliver basic geo-referenced information, but also allow the users to create location aware information for themselves and other users: information like hints and personal experience will be geo-referenced, time stamped and annotated with text and keyword information. It is stored and exchanged between community members. This individual information creates information content which is continuously growing and updated. Image based and text based information retrieval in combination with location information are used to provide easy access to relevant information. In this paper we outline the system architecture and components that enable these new approaches also providing augmented reality navigation. The approach was tested in a field test study and results and open issues are given. The system worked well and could be applied to future experiments in order to gain more insight in the mobile users' behaviour in real contexts.
Proceedings. 13th International Workshop on Database and Expert Systems Applications, 2002
This paper proposes a novel solution to querying hyperlinked multimedia cultural heritage datasets based on the user's context. Context in this sense is defined as the user's location in virtual space and the particular mobile device being modeled together with user preferences or profile. The purpose is to automatically push relevant data from the database server to the client based on this comprehensive definition of the user's context. Consideration in regard to which mobile device is currently being modeled is a primary filter for determining what data will be sent and in what format. For example, image data will not be sent to a mobile phone and video will not be sent to a PDA. The CHI (Cultural Heritage Interfaces) project differs from many of the models encountered on the Web in that its primary focus is not the accurate 3D rendering of a street/landscape, but the simulation of such a physical reality to explore the adaptive hypermedia paradigm in the context of a spatial navigation interface.
This paper presents the design and implementation of a mobile application along with a web server for geo-tagging favorite and interesting places and sharing them with the community. The design and architecture shows some key aspects and issues concerning this kind of system. The mobile application is implemented in J2ME and tested on GPS enabled Nokia phones and the web server is implemented on cloud infrastructure implementation, the Google App Engine. The system was evaluated with real devices and a proof of concept was made that applications such as Place-Tags has its place in the mobile world.
Mobile Information Systems, 2011
The rapid development of mobile technologies has facilitated users to generate and store files on mobile devices such as mobile phones and PDAs. However, it has become a challenging issue for users to efficiently and effectively search for files of interest in a mobile environment involving a large number of mobile nodes. This paper presents SemFARM framework which facilitates users to publish, annotate and retrieve files which are geographically distributed in a mobile network enabled by Bluetooth. The SemFARM framework is built on semantic web technologies in support of file retrieval on low-end mobile devices. A generic ontology is developed which defines a number of keywords, their possible domains and properties. Based on semantic reasoning, similarity degrees are computed to match user queries with published file descriptions. The SemFARM prototype is implemented using the Java mobile platform (J2ME). The performance of SemFARM is evaluated from a number of aspects in comparison with traditional mobile file systems and enhanced alternatives. Experimental results are encouraging showing the effectiveness of SemFARM in file retrieval. We can conclude that the use of semantic web technologies have facilitated file retrieval in mobile computing environments maximizing user satisfaction in searching for files of interest.
Web search is a frequent activity on Internet connected devices, yet still a nuisance when user is using a mobile device, taking into consideration their limited keypad and screen, and that search results could be mostly irrelevant for the user needs given its mobile context. When in move, the user needs an efficient way to introduce query terms and receive more precise information. We propose a Context Model to represent the context-aware information, which will be used to offer a better word recommendation and an autocompletion system to improve the user experience. This Context Model uses ontologies and a thesaurus to support a word recommender system that enhances the typing task and takes into account the user’s context and device characteristics.
2014
This chapter presents how mobile phones nowadays can be used as a handy and always around medium to interact with information collections of both physical and electronic form. It presents their evolution into powerful computing devices capable of communicating with other computing infrastructures, like the World Wide Web, and assisting them in finding the information of interest in the most convenient form, right when the need arises. It also provides a description of the current interaction modes between users, devices and information objects as well as some examples of first and second-generation mobile services. Furthermore, the authors hope that understanding the potential introduced by mobile phones in the modern information landscape can bring some insight to new information seeking strategies, that enhance exploration and not just querying. This understanding can be used to create new, innovative and novel services to enhance the seeking experience while interacting with hybr...
2014
A personalized mobile search engine (PMSE) that captures the users’ preferences in the form of concepts by mining their clickthrough data. Due to the importance of location information in mobile search, PMSE classifies these concepts into content concepts and location concepts. In addition, users’ locations (positioned by GPS) are used to supplement the location concepts in PMSE. The user preferences are organized in an ontology-based, multifacet user profile, which are used to adapt a personalized ranking function for rank adaptation of future search results. To characterize the diversity of the concepts associated with a query and their relevance’s to the user’s need, four entropies are introduced to balance the weights between the content and location facets. In our design, the client collects and stores locally the clickthrough data to protect privacy, whereas heavy tasks such as concept extraction, training, and reranking are performed at the PMSE server. Moreover, we address t...
2010
in the era of endless connectivity and an emerging semantic web, the demand on portable data is increasing day after day. People rely on their mobile devices more and more on a daily basis. And, with the help of technology, mobile devices aid as powerful personal computers on the go especially with promising location-based services. On the other hand, the need to digest powerful data is as strong as the need for powerful mobile devices. Thus, mobile devices require rich data sources to provide seamless rich data, and not only data, but location-rich data. This paper describes an architecture that examines and reacts to an individual's changing location. A location-centric prototype for mobile devices is presented, to display a map of the individual's current area, along with a semantic search data browser for querying location-rich data sources. The aim of the architecture this application is based on is to exploit a hybrid of geospatial semantic information retrieved from multiple data sources. For now, our architecture uses three data sources: GeoNames, LinkedGeoData, and DBpedia. Through experimental results, precision and recall measures applied to the proposed system prove its edge over existing systems.
We present MobEx, a mobile touchable application for exploratory search on the mobile web. The system has been implemented for operation on a tablet computer, i.e. an Apple iPad, and on a mobile device, i.e. Apple iPhone or iPod touch. Starting from a topic issued by the user the system collects web snippets that have been determined by a standard search engine in a first step and extracts associated topics to the initial query in an unsupervised way on-demand and highly performant. This process is recursive in priciple as it furthermore determines other topics associated to the newly found ones and so forth. As a result MobEx creates a dense web of associated topics that is presented to the user as an interactive topic graph. We consider the extraction of topics as a specific empirical collocation extraction task where collocations are extracted between chunks combined with the cluster descriptions of an online clustering algorithm. Our measure of association strength is based on the pointwise mutual information between chunk pairs which explicitly takes their distance into account. These syntactically-oriented chunk pairs are then semantically ranked and filtered using the cluster descriptions created by a Singular Value Decomposition (SVD) approach. An initial user evaluation shows that this system is especially helpful for finding new interesting information on topics about which the user has only a vague idea or even no idea at all.
2004
The recent popularity of mobile camera phones allows for new opportunities to gather important metadata at the point of capture. This paper describes and demonstrates a method for generating metadata for images using spatial, temporal, and social context. We describe a system we implemented for inferring location information for pictures taken with camera phones. We propose that leveraging contextual metadata at the point of capture can bridge the problems of the semantic and sensory gaps. In particular, combining and sharing spatial, temporal, and social contextual metadata from a given user and across users allows us to make inferences about media content .
IEEE Internet Computing, 2000
Mobile devices are becoming increasingly multi-functional and personal, providing mobile applications with the necessary user information (e.g., preferences, personal calendar) to achieve personalization. At the same time, detection technologies (e.g., Radio Frequency IDentification, or RFID) allow mobile devices to detect nearby physical entities, and thus map the user's environment. By exploiting existing online data sources about these detected entities, mobile applications can further improve personalization by including knowledge on the mobile user's physical environment. Semantic Web sources are useful in this respect, as they are machine-readable and facilitate integration with other sources. SCOUT, developed by the authors, is a mobile application framework that supports the linking of physical entities to online semantic sources, and provides applications with an integrated, query-able view on these sources and the user's environment. In order to efficiently access this large set of distributed online semantic sources, a tailored data management approach has been developed.
2007
Abstract Delivering an effective mobile search service is challenging for many reasons. Certainly small-screen mobile handsets with limited text input capabilities do not make ideal search devices. In addition, the brevity of Mobile Internet content hampers effective indexing and limits retrieval opportunities. In this paper we focus on this indexing issue and describe an approach that leverages Web search engines as a source of content enrichment.
Proceedings of the 6th International Conference on Mobile Technology, Application & Systems - Mobility '09, 2009
The proliferation of wireless and mobile devices has created a large demand for mobile information content as well as effective mobile information retrieval. In this paper, we present JHPeer, a software framework for mobile information retrieval in hybrid peer to peer (P2P) networks. JHPeer incorporates context engine to fit on mobile devices to enable context-based personal information retrieval. A prototype system has been developed based on JHPeer framework for retrieving, indexing and sharing user information on mobile devices in P2P environment.
Within the last years camera phones have been established as an everyday appliance. Along with the advent of these appliances so called "mobile tagging applications", arose. Physical objects are tagged with a visual code containing the URI of a resource. Camera phones are used to capture these visual codes and to access content related to physical objects. In most current mobile tagging applications the evolution of content associated with physical objects is not considered. Thus a later change and adding of resources is not supported. Taking these problems into account we present a novel framework for the development and evolution of advanced mobile tagging applications, called TagLink.
2008
Recent years have witnessed the impacts of distributed content sharing (Wikipedia, Blogger), social networks (Facebook, MySpace), sensor networks, and pervasive computing. We believe that significant more impact is latent in the convergence of these ideas on the mobile phone platform. Phones can be envisioned as people-centric sensors capable of aggregating participatory as well as sensory inputs from local surroundings. The inputs can be visualized in different dimensions, such as space and time. When plugged into the Internet, the collaborative inputs from phones may enable a high resolution view of the world. This paper presents the architecture and implementation of one such system, called Micro-Blog. New kinds of application-driven challenges are identified and addressed in the context of this system. Implemented on Nokia N95 mobile phones, Micro-Blog was distributed to volunteers for real life use. Promising feedback suggests that Micro-Blog can be a deployable tool for sharing, browsing, and querying global information.
2007
What happens when you can access all the world's media, but the access is constrained by screen size, bandwidth, attention, and battery life? We present a novel mobile contextaware software prototype that enables access to images on the go. Our prototype utilizes the channel metaphor to give users contextual access to media of interest according to key dimensions: spatial, social, and topical.
Metadata and Semantics, 2009
The semantic Web has brought exciting new possibilities for information access. Semantic Web is already adopted in several application domains. Our main objective is to critically present solutions using semantic Web technologies to provide successful mobile Web services. Aim of this work is also to introduce a novel semantically enriched personalization technique for the accelerating market of mobile environment introducing an enhanced data structure and web algorithm. A prototype has been implemented and proved effective. Furthermore, performance evaluation is also both encouraging and promising.
We present a mobile touchable application for online topic graph extraction and exploration of web content. The system has been implemented for operation on a tablet computer, i.e. an Apple iPad, and on a mobile device, i.e. Apple iPhone or iPod touch. The topics are extracted from web snippets which are determined by a standard search engine. We consider the extraction of topics as a specific empirical collocation extraction task where collocations are extracted between chunks combined with the cluster descriptions of an online clustering algorithm. Our measure of association strength is based on the pointwise mutual information between chunk pairs which explicitly takes their distance into account. These syntactically-oriented chunk pairs are then semantically ranked and filtered using the cluster descriptions. An initial user evaluation shows that this system is especially helpful for finding new interesting information on topics about which the user has only a vague idea or even no idea at all.
2009
The shift in human computer interaction from desktop computing to mobile interaction highly influences the needs for new designed interfaces. In this paper, we address the issue of searching for information on mobile devices, an area also known as Mobile Information Retrieval. In particular, we propose to summarize as much as possible the information retrieved by any search engine to allow universal access to information.
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