The Covid-19 pandemic has had a deep impact on the lives of entire world population, inducing participated societal debate. As in other contexts, debate been subject several d/misinformation campaigns; quite unprecedented fashion, however, presence false information seriously put at risk public health. In this sense, detecting malicious narratives and identifying kinds users that are more prone...

As an alternative to publish or access information, P2P network is attracting more and more attention because of its advantages in scalability, decentralization and selforganization. While a lot of research has been focused on semantic query routing in information system over P2P network, little work concerns if semantic query routing can satisfy the requirement of semantic information retrieva...

In this paper I argue that semantic similarity is not the only factor which motivates polysemy patterns cross-linguistically; I also show that these other factors (markedness, distinguishability, etc) may give rise to polysemies which are problematic for established semantic maps. Only when these other interfering factors, both functional and structural, are featured out, does a semantic networ...

Environmental research and knowledge discovery both require extensive use of data stored in various sources and created in different ways for diverse purposes. We describe a new metadata approach to elicit semantic information from environmental data and implement semanticsbased techniques to assist users in integrating, navigating, and mining multiple environmental data sources. Our system con...

Literature search as a fundamental, complex and time-consuming step in a literature research process is part of many established scientific methods. It is still predominantly supported by search techniques based on conventional term-matching methods. We address the lack of semantic approaches in this context by proposing an enhancement of the literature research process with a prototype of our ...

Humans process the meaning of the world via both verbal and nonverbal modalities. It has been established that widely distributed cortical regions are involved in semantic processing, yet the global wiring pattern of this brain system has not been considered in the current neurocognitive semantic models. We review evidence from the brain-network perspective, which shows that the semantic system...

Semantic networks have been used extensively in psychology to describe how humans organize facts and knowledge in memory. Numerous methods have been proposed to construct semantic networks using data from memory retrieval tasks, such as the semantic fluency task (listing items in a category). However these methods typically generate group-level networks, and sometimes require a very large amoun...

One major deficiency of most semantic representation techniques is that they usually model a word type as a single point in the semantic space, hence conflating all the meanings that the word can have. Addressing this issue by learning distinct representations for individual meanings of words has been the subject of several research studies in the past few years. However, the generated sense re...

Knowledge transfer between object classes has been identified as an important tool for scalable recognition. However, determining which knowledge to transfer where remains a key challenge. While most approaches employ varying levels of human supervision, we follow the idea of mining linguistic knowledge bases to automatically infer transferable knowledge. In contrast to previous work, we explic...

The efficient Semantic Web, needs knowledge to be presented in a well defined form which enables people and software agents to understand it. There are many knowledge representation techniques such as rules, frames, scripts, semantic network and ontology. The purpose of this paper is to illustrate the difference between semantic network and ontology techniques for medical knowledge representati...