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Documentation is often neglected in agile software projects, even if software developers perceive a need for good documentation. One reason can be found in improper documentation tools. This paper provides an overview of the central conceptual ideas for an agile documentation tool.
The internet in the web2.0 mode. In Yahoo! Answers, Baidu Knows and Sina to ask, as the representative of the Community Question Answering. Through the remarkable features open and flexible user interactive features, attracting a large number of users, and gradually become popular user's favorite knowledge sharing platform. Compared with traditional search engines, Community Question Answering can...
Twitter is a rapidly growing microblogging platform that allows its users to send and read short messages, called tweets. Because of the fact that a user's timeline consists of the latest tweets of their followees (users that they are following), followee recommendation is a problem of significant importance. In this work we propose a followee recommendation approach, which takes advantage of the...
In this study, subjects had been collected from Wikipedia web pages by using links. Subjects had been connected with other subjects. Context of Wikipedia pages had been used for defining power of link between subjects. Ontology graph is created with subjects and power of links. Main subjects of given documents had been calculated with the Ontology graph. For calculation, all subjects had been found...
In the social world the sharing of knowledge, data's and concepts within a group is done through the network of interactions and relationships. A community is formed by a group of individuals of same interest to share common values within themselves at a higher rate than outside the community. It can be a social unit of any size. The significant chore while studying the social network is to identify...
There are many aspects such as food, service, and ambience that a customer would look for, when deciding on a restaurant to dine in. Among these aspects, the type of food it sells and the food quality are the most important. Therefore, when automatically rating restaurants based on customer reviews, the food aspect plays a major role. There exists some research on rating individual food items in a...
With rapid increasing text information, the need for a computer system to processing and analyzing this information are felt. One of the systems that exist in analyzing and processing of text is a text summarization in which large volume of text is summarized based on different algorithms. In this paper, by using BabelNet knowledge base and its concept graph, a system for summarizing text is offered...
Television viewership ratings represent the popularity of TV programs and are an important indicator of the revenue generated by broadcasters from advertisements as well as other sources. Although higher ratings for a given program are beneficial for both broadcasters and advertisers, little is known about the factors that make programs more attractive to viewers. In this paper, we propose a method...
Remote labs and online experimentation offer a rich opportunity to learners by allowing them to control real equipment at distance in order to conduct scientific investigations. Remote labs and online experimentation build on top of numerous emerging technologies for supporting remote experiments and promoting the immersion of the learner in online environments recreating the real experience. This...
One of the pressing issues in the Indian IT education today is an acute shortage of skilled teachers. While common sense says that we should use IT to do teacher training and student training, it is not clear how that may be done and in how many different ways the teachers can be helped. The project, described in this article, studies contextualized solutions for the improvement of IT education in...
This paper proposes an innovative graph-based text summarization model for generic single and multi-document summarization. The approach involves four unique processing stages: parsing sentences semantically using Semantic Role Labeling (SRL), grouping semantic arguments while matching semantic roles to Wikipedia concepts, constructing a weighted semantic graph for each document and linking its sentences...
This paper compares the efficiency of two implementations of the PageRank algorithm, one using Hadoop's MapReduce and the other Giraph's Pregel. The implementations are evaluated against CPU usage, CPU I/O wait time, memory usage, and execution time. The result of the evaluation is that Giraph outperforms Hadoop.
This paper describes the construction of an intelligent semantics-based system that exploits several knowledge bases to tell contextually relevant stories to individuals and groups. Starting from information stored in user profiles, textual queries and pictures, a set of readily available tools recognize topics of interest and features of context, thereupon, we run data mining and semantic reasoning...
In this paper we propose a probabilistic topic model that incorporates DBpedia knowledge into the topic model for tagging Web pages and online documents with topics discovered in them. Our method is based on integration of the DBpedia hierarchical category network with statistical topic models where DBpedia categories are considered as topics. We have conducted extensive experiments on two different...
In this paper the concept of external appliance as component of honeypot in wireless network is suggested as based on particular computing instance. Also paper suggests approach to implementation of complex Intrusion Detection System (IDS) - Router - Honeypot. Requirements to IDS rules design are formulated by authors.
Spam is an unsolicited message, usually sent in thebulk. It is an unwanted activity that is performed to deceivepeople, to theft their personal information, to inject virus in theirsystem, to redirect them on malicious sites. On OSN, spammersshare malicious link looking like genuine one, place discountmessages on their wall, develop malicious apps and sometimescreate fake accounts. While on blog sites,...
Extraction and integration of entities from textual data and linking them to knowledgebases (for further information or processing) is useful for many applications in natural language processing. However, a major problem in this process is disambiguation, named entities might refer to different things. In this work, we propose a novel method to disambiguate named entities. Our method is a combination...
This paper compares the efficiency of two implementations of the PageRank algorithm, one using Hadoop's MapReduce and the other Giraph's Pregel. The implementations are evaluated against CPU usage, CPU I/O wait time, memory usage, and execution time. The result of the evaluation is that Giraph outperforms Hadoop.
Analysis of digital discourse in social networks can inform decisions about service design and align services with customers' needs and expectations. Using the theory of social representations (SRT) as a theoretical lens, I propose a method for the systematic analysis of the digital discourse in order to identify the core representations on which a service depends. I demonstrate the method by analyzing...
Wikipedia is a central source of information as 450 million people consult the online encyclopaedia every month to satisfy their information needs. Some of these users also refer to Wikipedia within their tweets. In this paper, we analyse links within tweets referring to a Wikipedia of a language different from the tweet's language. Therefore, we investigate causes for the usage of such inter-language...
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