In this paper, we propose a framework HAR to study the hub and authority scores of objects, and the relevance scores of relations in multi-relational data for query search. The basic idea of our framework is to consider a random walk in multi-relational data, and study in such random walk, limiting probabilities of relations for relevance scores, and of objects for hub scores and authority scor...

One of the most advanced approaches to querying data in the presence of ontologies is to make use of relational database systems, rewriting the original query and the ontology into a new query that is formulated in SQL or, equivalently, in firstorder logic (FO). For ontologies written in many standard description logics (DLs), however, such FO-rewritings are not guaranteed to exist. We study FO...

structure to fit a given situation, one makes clear the principal function of theory as an imaging process, that is, as a description of observed reality. Psychologically speaking, there is no possibility of an involvement of the pupil's person as there is in the less precise concept of science's providing "explanations", where assent is essential. One benefit of the structuralist method mentio...

This paper analyses the system of multiple affixation of spatial preverbs in Homeric Greek in a typological perspective, based on Talmy’s (2000) typology of Motion event, on the work done within the Trajectoire Project (CNRS, TUL), and work on (multiple) affixation systems in some Amerindian languages (Craig & Hale 1988; Craig 1993; Grinevald 2003). It details the existence in Homeric Greek of ...

Neutrosophy is a new branch of philosophy that studies the origin, nature, and scope of neutralities, as well as their interactions with different ideational spectra. Aim of this article is to find the maximum and minimum solution of the fuzzy neutrosophic soft relational equations xA=b and Ax=b, where x and b are fuzzy neutrosophic soft vector and A is a fuzzy neutrosophic soft matrix. Wheneve...

Reinforcement learning [10] is a subtopic of machine learning that is concerned with software systems that learn to behave through interaction with their environment and receive only feedback on the quality of their current behavior instead of a set of correctly labelled learning examples. Although reinforcement learning algorithms have been studied extensively in a propositional setting, their...

purpose: the comparison of object relational dimensions and perceived fatherhood relation in divorce demanding and non-demanding individuals. methodology: for this purpose, 122 divorce demanding individuals and 117 non-demanding divorce individuals completed bell object relations inventory (bori) and fatherhood scale (fs). then the data were analyzed by two way anova, using spss-20. findings: r...

nowadays, belief in the criteria and conditions of interactions with an organization to promote customer relationships is somehow tied to the organizational performance, and its final goal is of great importance. in the literature on organizational behavior, this belief is defined as the “psychological contract”. the intention of this mixed research is to identify and discover the contents of p...