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.
The progress of building automation devices and networks is curbed by application models with limited device autonomy, static configuration scenarios, and frequent explicit user interaction. This paper presents a novel approach inspired to social network interactions for increased object self-configuration and self-orchestration in home and building automation. Objects become autonomous social agents,...
Nowadays, more and more people possess mobile devices (laptops, tablets, smart-phones, etc), capable of creating and sharing documents (which generally are multimedia oriented) via internet anytime and anywhere (home, office, hospital, etc). People should have full control on how they receive a multimedia content, depending on their current condition: when in a meeting, displaying a text instead of...
Visualization techniques are ways of creating and manipulating graphical representations of data. This could assist human information processing by reducing demands on attention, working memory, and long-term memory. The graphical representation of data is also used in the Web as a mean which conveys an overall message easy to be used by a human mind. At the present time, graphical representations...
The scale of the social web has integrated users in order to organize shared resources. Users freely associate keywords (tags) to resources. This collection of tags creates a folksonomy. Folksonomy is a collaborative tagging system, which has grown popular with its simplicity of free tagging. However, it rises up a number of issues such as ambiguous and redundant tags. So as to achieve an optimal...
In this paper we present an approach to add self-adaptive features to software systems not initially designed to be self-adaptive. Rapid changes in users needs, available resources, and types of system faults are everyday concerns in operating complex systems. The ability to face these issues in a (semi-)automatic fashion is a welcome feature. MAPE-K (Monitor, Analyze, Plan, Execute — Knowledge),...
The fundamental objective of an information search system based on interest center and the user profile is to return, from a collection of documents, the elements that are relevant to specific user needs. The selection of only documents interesting a user is done on the basis of interest center, calculated from the information about the user named user profile. The information retrieval systems converge...
ISCOOL is an interactive educational game for text analysis and interpretation. It draws from several reference datasets, providing users with information about people, organisations and locations, as well as word definitions and historical facts that serve as the basis for reading comprehension and provide a wider context for information to be accessed, interpreted and understood. In game-play, users...
The concept of the cloud is no longer limited to providing remote hardware or platform support with the development of cloud computing technology. Instead, it encapsulates all aspects of the content in computer field into service invoked by others. As an important part of software, data resource has become core services to the cloud platform in areas such as collaborative manufacturing and collaborative...
Semantic location-based services (LBS) aims to provide intelligent LBS that can find and integrate various information to better meet user requirements in location-aware context. This paper argues that traditional approaches for semantic GIServices in the Cyberinfrastructure context could be extended into the LBS. After highlighting the distinguished features of semantic LBS, i.e. context semantics...
The Web of Things (WoT) extends the Internet of Things to provide users with high-level features, involving physical objects connected through Web technologies and standards. Avatar-based infrastructures is one of the most promising solution for the WoT. Avatars are component-based software agents that extend physical objects and are able to reason about contextual information. A major challenge of...
The raw unstructured big data created on social networking platform is having great potential to generate various trends. In this work, we propose a novel approach for meaningful social network data mining with integration of semantic web and linked open data concepts. We propose a semantic proximity based data mining process in our framework for the analysis of employment trends using LinkedIn. The...
In this paper, we introduce a distance-based approach for measuring the semantic dissimilarity between two concepts in a knowledge graph. The proposed Normalized Semantic Web Distance (NSWD) extends the idea of the Normalized Web Distance, which is utilized to determine the dissimilarity between two textural terms, and utilizes additional semantic properties of nodes in a knowledge graph. We evaluate...
Computer-mediated learning needs to be social too. Interactivity is a central construct for collaborative knowledge construction in online communities. We present an operationalized framework for measuring interactivity in online discussions, based on our view of interactivity as a socio-constructivist process. We hypothesize that the traditional design for online discussion platforms, with linear,...
Relevant information retrieval from the www mainly depends on the technique and efficiency of a crawler. So crawlers must be capable enough to understand the text and context of a link which they are going to crawl. Anchor text contains a very useful information to know about the target web page. Because knowledge about the target web page content helps the crawlers to decide their preferences of...
The main objective of our work is to demonstrate how recommender systems can be deployed to enhance access to museum collections. Visitors of museums are often overwhelmed by the information available in the space they are exploring. Therefore, finding relevant artworks to see in a limited amount of time is a crucial task. In this paper, we present a recommender system for mobile devices that (1)...
The existing search engines retrieve information only based on the keywords. The incapability to search on the basis of the relation between the keywords and the user concepts, generates noise and hence, results in irrelevant retrieval. This leads to the idea of performing Semantic information processing by mapping the user's Concept and Context of the query with the retrieved results to filter (remove)...
The inability of the present search engines to map the retrieved result set using semantics of the query keywords has been discussed. The present study suggests a framework to improve the mapping of Concept and Context of the query keywords and thereby remove noise from the query. This ensures more relevant and satisfactory retrieval of the results. The framework has been designed for the scenario:...
Service matching concerns finding suitable services according to the service requester's requirements, which is a complex task due to the increasing number and diversity of cloud services available. Service matching is discussed in web services composition and user oriented service marketplaces contexts. The suggested approaches have different problem definitions and have to be examined closer in...
Adaptive Hypermedia Environments are a suitable means for developing personalized educational content that can respond to the needs of heterogeneous cohorts. These resources are increasingly built upon the Semantic Web, powered by the development and deployment of ontologies. After experimenting the automatic creation of domain ontologies from educational reference books and their use within semantic...
MOOCs (Massive Open Online Courses), a new form of learning, are characterized by a large scale of subscription. Thus, appropriate assessment strategies should be implemented to support massive data flows. In this paper, we are interested in studying the Peer Assessment in MOOCs based on Inquiry Based Learning (IBL), iMOOCs. Our contribution is a continuation of our previous research work. In fact,...
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.