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Intelligent security technology provides important clues and basis for case detection, however, the traditional intelligent security technology can not alarm a crime's happening in advance. By researching the relationship between criminal psychology and speech feature, we proposed a crime degree theory of internet speech which can alarm a crime's happening in advance by taking advantage of the internet...
The increasing growth of cities, the concurrent trend toward "smart" environments put the topic of mobility into the focus of information service developers. The increasing prevalence of smart devices allows an enhanced automated harvesting of data that can be processed to satisfy information needs of the actors within the mobility system thus, providing an environment for frequent interaction...
In recent years, with the development of the Internet, it is more and more common for users to buy mobile phones on the Internet. On the one hand, sentiment analysis help customers to fully understand the performance of the phone, on the other hand, it provides improvement direction for producer to upgrade the goods. In this paper, we use the method of semantic analysis to analyze the sentiment of...
The initial stage of the conceptual product design process is a highly creative and intensive knowledge-exploration intensive process. Sources of information utilized by design teams span local databases to internet collections and online magazines. Finding the relevant information is a challenge for a single product design team as the amount of information available continues to increase. In this...
Internet inquiry is playing an increasingly important role as the complement of the traditional medical service system, especially the similar cases recommendation. It can not only save the patients' waiting time, but also make use of the historical resources, for many cases with the same purpose have been solved perfectly. However, because of the diversity and non-standard of the patients' descriptions,...
There is an emerging international phenomenon of drugs that are sold without any control on online marketplaces. An example of a former online marketplace is Silk Road, best known as a platform for selling illegal drugs operated as a Tor hidden service. Silk Road was closed by FBI in 2013 but new alternatives have appeared since illicit substances is a big market. One problem with online marketplaces...
The growing number of users in microblogging sites such as Twitter has created the problem of searching useful followees among millions of users in a reasonable time. One way to address this problem is using a recommender system, which is aimed at providing a list of useful followees in a reasonable time. Although Twitter provides a functionality what it calls ‘Who to Follow’, neither is it configurable...
As the Internet becomes an important part of the infrastructure our society depends on, it is crucial to construct networks that are able to work even when part of the network is compromised. This paper presents the first practical intrusion-tolerant network service, targeting high-value applications such as monitoring and control of global clouds and management of critical infrastructure for the...
Entity linking (EL) is the task of mapping name mentions in web text to their entities in a knowledge base. Most of earlier EL work in the knowledge based approach is usually formulated as a ranking problem, either by (i) non-collective approaches with supervised models, or (ii) collective approaches by leveraging global topical coherence which means semantic relations between entities through graph-based...
The number of entities in large-scale knowledge bases has been growing in recent years. The key issue to entity linking using a knowledge base such as Wikipedia is entity disambiguation. The objective of our proposing system is to disambiguate entities in documents and link entity mentions to their corresponding Wikipedia articles. To this end, our system ranks the set of candidate entities based...
With the rapid evolution of Linked Open Data (LOD), researchers are exploiting it to solve particular problems such as semantic similarity assessment. Existing LOD-based semantic similarity approaches attach compared data (terms or concepts) to LOD resources to exploit their semantic descriptions and relationships with other resources and estimate the degree of overlap between resources. Current approaches...
Community-based Question Answering (CQA) services are becoming popular as the public gets used to look for help and obtain information. Existing CQA services try to recommend someone for answering new questions. On the other hand, people are allowed to exchange information and experience using various collaborative tools. It would be interesting to combine the two approaches to increase the reliability...
Many researches have been carried out on network comments nowadays. In order to get more sentiment types, the paper put forward a opinion community discovery method based on sentiment of web comments and regional distribution, considering that Internet users from different regions have different perspectives on the same issue. First, the research clusters network comments into different opinion communities...
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...
Word embedding, which is usually used in the literature especially for English, is a technique to associate each word to a mathematical vector representation under which some structural or semantic relations hold. There are some Turkish application of this technique. Despite being designed according to English, it is also satisfactory for Turkish. In this study, the performance of Turkish word embeddings...
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...
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...
e-Tourism covers a wide niche of the digital services market. The existing services, although being presented in the large amount in today's Internet, do not achieve high intelligence level. The user still needs to perform a lot of operations manually: to solve a given problem she/he finds and accesses appropriate Internet services or uses mobile applications. A lot of information fragments are linked...
Micro-blogs and social networking websites have become a platform for self-expression. They reflect the thoughts, ideas and opinions of people on various subjects. Analyzing these texts to find the main topics mentioned in them is a fine method for targeted marketing. Targeted marketing involves identifying potential clients who might be interested in particular products or services and marketing...
Today's rich digital environment is characterised by the exponential increase of the amount of "born digital" data, following the penetration of real (e.g. sensors, wearable devices, etc.) and virtual (e.g. online platforms, user generated content, etc.) Internet connected sources. While the majority of the research outcomes is focused on the processing and connectivity aspects, a key question...
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