When thousands of vocabularies having been published on the Semantic Web by various authorities, a question arises as to how they are related to each other. Existing work has mainly analyzed their similarity. In this paper, we inspect the more general notion of relatedness, and characterize it from four angles: well-defined semantic relatedness, lexical similarity in contents, closeness in expr...

self-determination theory (sdt) states that satisfaction of basic psychological needs, including the need for autonomy, competence and relatedness will lead to intrinsic motivation. this study examines the relationship between basic psychological needs and intrinsic motivation of iranian female students in mathematics. for this purpose, 382 students of five school responded to the scale of intr...

New theoretical work on kin selection and inclusive fitness benefits predicts that individuals will sometimes choose close or intermediate relatives as mates to maximize their fitness. However, empirical examples supporting such predictions are rare. In this study, we look for such evidence in a natural population of Drosophila melanogaster. We compared mating and nonmating individuals to test ...

Several theories propose a relationship between deficits in autonomy and relatedness and the development of borderline personality disorder (BPD). Empirical work supports relationships between maternal BPD and adolescent symptomatology, as well as between maternal autonomy and relatedness and adolescent symptomatology. However, no study has examined how individuals with BPD differ from normativ...

The automatic ranking of word pairs as per their semantic relatedness and ability to mimic human notions of semantic relatedness has widespread applications. Measures that rely on raw data (distributional measures) and those that use knowledge-rich ontologies both exist. Although extensive studies have been performed to compare ontological measures with human judgment, the distributional measur...

In this article, we present a novel approach for computing semantic relatedness and conduct a large-scale study of it on Wikipedia. Unlike existing semantic analysis methods that utilize Wikipedia’s content or link structure, we propose to use human navigational paths on Wikipedia for this task. We obtain 1.8 million human navigational paths from a semi-controlled navigation experiment – a Wiki...

Previous work on text coherence was primarily based on matching multiple mentions of the same entity in different parts of the text; therefore, it misses the contribution from semantically related but not necessarily coreferential entities (e.g., Gates and Microsoft). In this paper, we capture such semantic relatedness by leveraging world knowledge (e.g., Gates is the person who created Microso...

This work introduces methodologies for extending the modelling and querying capabilities of Trajectories Data Warehouses (TDW) in the context of semantic trajectories. Specifically, we incorporate the notion of Semantic Relatedness (SR) as part of the formal model of a TDW, which enables capturing the similarity between different annotations describing Points of Interest (POI), locations and ac...

The automatic ranking of word pairs as per their semantic relatedness and ability to mimic human notions of semantic relatedness has widespread applications. Measures that rely on raw data (distributional measures) and those that use knowledge-rich ontologies both exist. Although extensive studies have been performed to compare ontological measures with human judgment, the distributional measur...

OBJECTIVES This study investigated the distribution of causative agents related to occupational lung cancer, their relationships with work, and associations between work-relatedness and the histologic type of lung cancer. METHODS We used data from the occupational surveillance system in Korea in 2013. In addition, data from 1,404 participants diagnosed with lung cancer were collected through ...