Semantic Intelligence

Abstract: In order to improve the accuracy and reasonableness of using English corpus for translation, a method of using English corpus to perform translation tasks based on fuzzy semantic optimal solution intelligent selection and inspired computing for wireless networks is proposed. The information extraction model using English corpus for translation is constructed, and the fuzzy semantic keyword feature directivity model of English corpus translation is established. Fuzzy semantic ontology feature registration method is used to calculate the fuzzy semantic intelligence optimal solution vector in English translation. The semantic fuzzy feature matching and adaptive subject word registration are realized in English translation. The fuzzy link relation of semantic ontology is established, and the fuzzy semantic optimal solution is obtained. The accuracy of machine translation in English corpus is improved. The experimental results show that the fuzzy semantic optimal solution has better registration performance and the feature matching degree of the subject words is higher, which improves the reasonableness and accuracy of translation in English corpus. At the same time, it provides a new idea for intelligent computation and recognition of wireless network.

Abstract: Internet of Things (IoT) paradigm is progressing at an enormous rate creating an expansive ecosystem of interconnected smart devices which needs to be controlled and managed by end applications or users. So, the solution is to discover the best device matching the user requirement in timely manner. Ensuring efficient and context aware resource discovery is a challenge in seamless operation of IoT applications. Semantic Intelligence can be built for resource discovery. In this paper, we propose semantic enrichment of COAP protocol to discover the resources. Resources are semantically modelled, and COAP protocol CORE Link format is modified to incorporate semantic information. Also, we have proposed a framework which is aware of the social relationship between the devices to accommodate distributed topologies. We conducted the experiments in COOJA simulator on CONTIKI OS with COAP protocol semantically enriched. COAP CORE Link format and Resource Directory were semantically enriched, and its effectiveness was measured.

Abstract: Instagram is the millennials’ favourite social network. Its community regulations prohibit nudes, except in cases of mastectomies, breastfeeding, paintings and sculptures. Its artificial intelligence only detects percentages of skin in photographs. Lacking semantic intelligence, its algorithms do not discover other forms of hypersexualization. In this subterfuge, children and girls show their bodies dressed and reified, in school uniforms, surrounded by children's elements. They recreate the Lolita myth and get millions of followers. This paper describes this dark phenomenon to investigate: the hashtags that use this new form of pornography not censurable by the algorithms; the objective and subjective perceptions of those photographs; and a proposal for gender intervention. The reserach contains two phases: a longitudinal bibliographic exploration, which delves into Instagram and its conditions of use, personal identity and narrative, and semantic intelligence to read photographs; and an inquiry that correlates the reciprocity of hashtags, its normal denotation and its hypersexualized connotation. The results are arranged around two modalities: children who are not of legal age to have an account and girls who are of legal age to have an account. The quantitative part includes: hashtag, account name, country and followers. The qualitative part explores: description of the elements of the photographs, normal meanings and implicit pornographic meanings. It is concluded that it is necessary to: detect other hashtags that describe other pornographies; expand this prospect internationally; extrapolate this research to other social networks, such as YouTube and TikTok; share the results with social networks and the Security Forces; monitor the use of social networks by parents; training in educational settings; acquisition of semantic intelligence by social networks and minors.

Abstract: In this paper we address the semiotic aspects of instagram social network. In this regard, we first discuss differences between the typical semiotic communication model and instagram social network communication model. Then having discussed design aspects of an instagram as well as its application user interface, we try to show how social semiotic requirements can best fit in instagram as a social networks media for sharing pictures and extending social relations among artists, citizens and business agents. In this paper it will be shown by recruiting a clear social semiotic model that instagram can also be utilized as a successful platform for pictorial and multimodal sign production and distribution. In the end we discussed the collective semantic intelligence based on instagram. We consider it as the best source for extracting visual semantic intelligence.