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Information Centric Networks (ICN) enable accessing data oblivious of its location, by allowing end-systems to retrieve content based on names. But, architectures such as Named Data Networking (NDN) and Content Oriented Publish/Subscribe System (COPSS) do not yet provide a mechanism for end-system applications to obtain these names. There is a need for an object resolution system that addresses a...
We propose a Hamming distance based approximate similarity text search (HASTS) algorithm to improve the quality of queries in massive text data. The HASTS algorithm first constructs an index table with the substrings extracted randomly from the feature fingerprints generated by the SimHash algorithm. Then, it assigns weights to text terms to reduce the size of the candidate set. Furthermore, the final...
Plagiarism — using someone else's ideas, writings or results, and presenting them as one's own without giving proper credit to the actual author. In today's competitive world plagiarism is spreading at a tenacious rate. Scientific writing requires good expertise for it demands both features: vividness and terseness, which are generally hard to accomplish together. Any scientific work should be characterized...
This study investigated media use behavior of nursing students enrolled in Nursing Colleges under Thailand Ministry of Public Health. Participants consisted of 3,574 undergraduate nursing students, 1st–4th year, from 19 colleges randomly selected across regions. Data collection was conducted through online survey in April — May 2014. Female participants were 91.9% with mean age 20.40 (S.D.= 1.18)...
The development of modern health care and clinical practice increase the need of nutritional and medical data extraction and integration across heterogeneous data sources. It can be useful for researchers and patients if there is a way to extract relevant information and organize it as easily shared and machine-processable linked data. In this paper, we describe an automatic approach that extracts...
We present the design and application of a generic approach for semantic extraction of professional interests from social media using a hierarchical knowledge-base and spreading activation theory. By this, we can assess to which extend a user's social media life reflects his or her professional life. Detecting named entities related to professional interests is conducted by a taxonomy of terms in...
It is extremely important that the semantic relation between the information resources for organizing and hunting for information. Many semantic connections are lost between online information resources and off-line information resources. Topic map is a discipline-specific form of concept map, which is generally a representation of concepts about the information and relationship rather than of knowledge...
Consumers often have difficulties expressing and understanding medical terminologies due to gaps in their domain knowledge and those of the health care professionals. This language gap is a barrier to effective health information seeking, and ultimately, informed decision making. However, despite the recent research on mismatches between consumer and professional languages, there have been limited...
Software development activities are very critical, since most of them heavily depend on individuals' knowledge and their capabilities. This knowledge must be retained and managed in order to avoid productivity breakdowns. This paper empirically explores how knowledge is created and lost in a software organization, and discusses implications for software development. This is done through a case study...
To deal with the "last kilometer" problem during the agricultural science and technology information service, based on the requirement analysis, combined with the characteristics of We Chat and We Chat public platform, we analyzed the feasibility and necessity of We Chat used in agricultural information service, and discussed the mode of We Chat used in agricultural information service....
The phenomenal success of certain crowdsourced online platforms, such as Wikipedia, is accredited to their ability to tap the crowd's potential to collaboratively build knowledge. While it is well known that the crowd's collective wisdom surpasses the cumulative individual expertise, little is understood on the dynamics of knowledge building in a crowdsourced environment. A proper understanding of...
The Health Care Network (HCN ) related information of a country is one of the most influential fields of data sharing and integrating with disparate data sources of physical world and compatible health care organizations on the exponentially growing World Wide Web (WWW ) for improving and maintaining health related services of mass people. Although these accessible HCN related unstructured or semi-structured...
The development of open source software (OSS), and their deployment by general public as well as by different types of organizations, has increased manifold over the past decade or so. In spite of the ubiquity of OSS, the quality of many OSS remains questionable. Testing provides a curative approach for OSS quality assurance, and a comprehensive approach to testing is a knowledge-intensive endeavor...
Location Based Services (LBS) and Social Networking Services (SNS) are two increasingly popular service systems which have been widely used in various applications. We offer an in-depth analysis of the relationship between the two different systems. Based on this analysis, we propose an effective approach to bridge these two different systems and demonstrate its applicability in providing a more intelligent...
This article aims at evaluating the interest of the Wicri network, a network of semantic wikis, both as a reservoir of curation rules allowing to enrich corpora metadata and as a tool for parameterizing and supporting of instructions for the creation of corpora exploration servers. Starting, from the analysis of a bibliographic corpus extracted from different documentary databases, the experiments...
The high resolution and widescreen mobile devices have tremendous applications in our daily lives. In this paper, we demonstrate a specific bi-screen video sharing application called WeWatch that a high resolution video is played across screens of two mobile devices. It helps users to enhance their watching experience on the Android system. In order to efficiently use idle mobile devices, we develop...
Twitter has became an invaluable source of information, due to his dynamic nature with more than 400 million tweets posted per day. Determining what an individual post is about can be a non trivial task because his high contextualization and his informal nature. Named Entity Linking (NEL) is a subtask of information extraction that aims to ground entity mentions to their corresponding node in a Knowledge...
The intrinsically passive nature of a generally accepted teaching process in nowadays higher education results in: 1) low motivation for learning, 2) unsatisfactory level of acquired knowledge, and 3) low outcomes particularly in natural sciences, mathematics and engineering. One of the most important challenges that educators face concerns how to raise academic motivation. The question is of crucial...
This paper proposes a game based e-Learning tool called The forensic challenger (TFC) to teach digital forensic investigation. By combining elements from game theory with the use of e-Learning, the authors are able to provide a solution that offers a more efficient way of learning how to perform digital forensics investigations. Contrary to traditional learning methods, TFC is built on a Hyper Interactive...
As a leading energy player, EDF (Électricité de France) actively works on new techniques to better understand customers' voice. In order to process unstructured and semi-structured massive text data, we have developed HETA, an application based on open source solutions which offers different text processing steps (document engineering, text analysis, clustering and visualization) on top of Hadoop...
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