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Big data technologies are becoming widely used, not only for recording but also for analyzing human generated data. Indeed, the recent development in systems and technologies provided many areas with data processing technologies to extract meaningful information from massive amounts of data. A good example of areas where the generated data is voluminous is eLearning, e.g. Massive Open Online Courses...
The goal of the Data Exploration in the Web 3.0 Age (DEW 2017) conference track has been bringing together researchers and practitioners from both the Academia and Industry working in the areas related to data exploration, in a very broad sense. The track welcomes contributions from data mining, query languages, data visualization, graph databases and other fields related to the analysis and exploitation...
The Semantic Web of Things (SWoT) merges the Internet of Things with knowledge representation and reasoning techniques borrowed from the Semantic Web, in order to improve resource management and discovery. This paper proposes a SWoT framework in Wireless Sensor Networks (WSNs) enabling cooperative discovery of sensors and actuators. A backward-compatible extension of the Constrained Application Protocol...
One of the greatest challenges of an enterprise's service center is to ensure that their engineers and customers are provided with the right information in a timely fashion. For this purpose, modern organizations operate a wide range of information support systems to assist customers with critical service requests and to provide proactive monitoring, where possible, to prevent service requests from...
Due to unprecedented growth of information on the Web and lack of structure in many Web sites, it became real challenge to the Web users to find relevant information. To solve this problem, Personalization is considered as a popular solution to customize the World Wide Web environment toward the user's preferences. Recent study shows that Web Usage Mining techniques play an important role in designing...
Network administration is conveyed in this social insurance extend. In the present venture, client indications have been regarded as and the specialists who can work on the predetermined manifestations or illnesses are distinguished. The recognized specialists alongside their areas have been discovered in a semantic manner also it is being offered reverse for the client. At this time, the manifestations...
The semantic web is evolving and helping users to find, share, understand and combine the information and be processed by the automated tools. With the traditional web, it is a time-consuming and tedious task to find the necessary information. By using the semantic web, we obtain information in a way that is more efficient and fast and avoid all the unnecessary data. Semantic web helps to make intelligent...
Traditional Information Retrieval (IR) methods were initially used for searching and ranking web pages on the Web. These methods were progressively modified to exploit the peculiarities of the Web including the use of the hyperlinked structure of the Web for relevance ranking. These Web IR techniques, however, are also being applied for searching and ranking to other forms of text collections which...
Web page recommendation system is one kind of the recommendation system based on the user's current web navigation behavior that automatically recommends web pages in which a particular user is most interesting. For effective web page recommendations, it is very crucial and difficult to find the useful and sufficient knowledge from web usage data. This paper discusses taxonomy of recommendation system...
Visualization is the process of representing data graphically and interacting with these representations in order to gain insight into the data and to 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 carries visual and easy to understand information. However, graphics...
Question Answering provides a new manner for information query. Compared to existed search engines, Q&A systems are able to return answer for the questions represented by natural language. Hence, Q&A is always one of core reseraches in the field of information processing. In this paper, we present survey targets the state of the art in Q&A under systems and approaches. Firstly,...
With the advent of World Wide Web, social networking has evolved as a major driving force for communication and information sharing. Its usage has reinforced the concept of Six Degree of Separation in its true manner. Social media can be used for prediction, propagation, marketing and influencing purposes. The aim of this research is to present a comprehensive and novel framework that uses the social...
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...
Every day, number of pages gets added on web which makes tracking of their links cumbersome. Due to this, problem of overloaded data has come up. This issue led researchers to thoroughly go through different aspects of Web Usage Mining (WUM). Another issue of traditional system is of recommendations which are also a part of WUM and Web logs. This paper proposed a system of recommendations which uses...
The amount and diversity of data in the Semantic Web has grown quite. RDF datasets has proportionally more problems than relational datasets due to the way data are published, usually without formal criteria. Entity Resolution isan important issue which is related to a known task of many research communities and it aims at finding all representations that refer to the same entity in different datasets...
This paper is about the Mobile Audio Ontology, a semantic audio framework for the design of novel music consumption experiences on mobile devices. The framework is based on the concept of the Dynamic Music Object which is an amalgamation of audio files, structural and analytical information extracted from the audio, and information about how it should be rendered in realtime. The Mobile Audio Ontology...
The Internet exhibits a gigantic measure of helpful data which is generally designed for its users, which makes it hard to extract applicable information from different sources. Accordingly, the accessibility of strong, adaptable Information Extraction framework that consequently concentrate structured data such as, entities, relationships between entities, and attributes from unstructured or semi-structured...
Usually, documents are given in textual form, accompanied by a set of terminological classifications (metadata), based on vocabularies of domain ontologies. This paper presents a novel method for advancing the above classification, by extracting more properties of the analyzed documents. We first extract additional roles from the textual part and together with roles extracted from the ontology statements,...
The Qur'an is the religious text of Islam, distinguished by its miraculous style, it is considered as the basic reference for all Islamic sciences, and therefore it's very sensitive to model its content for fear to make bad assumptions and axioms. In recent years a number of researches has been done to facilitate the retrieval of knowledge from the Qur'an, but most of the available researches are...
Complex networks of direct relevance to biomedicine have not yet been fully mapped largely due to the incompleteness, isolation, and heterogeneity of data. The Semantic Web, by providing a technical framework for the integration and sharing of heterogeneous databases in different domains, can potentially enable more effective complex network mapping and analysis. However, the feasibility of using...
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