Search results for " reasoning"

Explanatory Reasoning: A Probabilistic Interpretation

2016

This paper deals with inference guided by explanatory considerations –specifically with the prospects for a probabilistic interpretation of it. After pointing out some differences between two sorts of explanatory reasoning – i.e.: abduction and “inference to the best explanation” – in the first section I distinguish two tasks: (a) to discern which explanation is the best one; (b) to assess whether the best explanation deserves to be legitimately believed. In Sect. 20.2 I discuss some recent definitions of explanatory power based on “reduction of uncertainty” (Schupbach and Sprenger 2011; Crupi and Tentori 2012). Even though a probabilistic framework is a promising option here, I will argue …

Rough Pragmatic Description Logic

2013

In this chapter, a rough description logic is built on the basis of a pragmatic standpoint of representation of knowledge. The pragmatic standpoint has influenced the acceptance of a broader definition of the semantic network than that appearing in the literature. The definition of the semantic network is a motivation of the introduced semantics of the language of the descriptive logic. First, the theoretical framework of representation of knowledge that was proposed in the papers [24,25] is adjusted to the description of data processing. The pragmatic system of knowledge representation is determined, as well as situations of semantic adequacy and semantic inadequacy for represented knowled…

DYNAMIC SEMANTIC USER PROFILING FROM IMPLICIT WEB NAVIGATION DATA

2014

International audience; On the Web, pages are often dynamically generated and allow publishers to individually adapt contents to each viewer. Underlying systems must correctly understand the user's context - crucial especially in the case of online advertisement placement. The article at hand describes our proposition of a novel profiling system, adapted to the special needs of digital advertising. Based on Semantic Web Technologies, the MindMinings system relies on an ontology to enable thorough understanding of each user's context and needs. The underlying ontology structure also provides enhanced interoperability with semantically annotated knowledge resources, notably vocabularies from …

Two Views for Understanding How TQM Fosters Learning and Value Innovation: Absorptive Capabilities and Action-Based Management

2014

In the last decade some frameworks have tried to explain how to devise strategies for innovation in value by determining the needs of customers and non-customers, also creating new industries in which competition becomes irrelevant (Hax, The delta model. Reinventing your business strategy. New York: Springer, 2010; Kim and Mauborgne, Blue ocean strategy. Boston: Harvard Business School Press, 2005; Madhok and Marques 2013). These reference frameworks are based on a common set of principles: Value is created through the relationship with the customer (Priem, Acad Manag Rev 23; 219–235, 2007; Vargo and Lusch 2008); Strategy is considered to be a continuous process of exploring new opportuniti…

Correction to: Measuring Scientific Reasoning Competencies

2021

FCA-based knowledge representation and local generalized linear models to address relevance and diversity in diverse social images

2019

Abstract In social image retrieval, the main goal is to offer a relevant but also diverse result set of images to the user. To address relevance and diversity at the same time, we propose a multi-modal procedure. This approach deals with the diversification problem using a two-step procedure based on the application of Formal Concept Analysis (FCA) to organize the text content of the images, followed by a Hierarchical Agglomerative Clustering (HAC) step to find the topics addressed by the images. FCA detects the latent concepts covered by the images in the result set, organizing them according to these concepts. In the second step, clustering is carried out to group together the ones with a…

Knowledge Representation in Extended Pawlak’s Information Systems: Algebraic Aspects

2002

The notion of an information system in Pawlak's sense is extended by introducing a certain ordering on the attribute set, which allows to treat some attributes as parts of others. With every extended information system S associated is the set K(S) of those pieces of information that, in a sense, admit a direct access in S. The algebraic structure of the "information space" K(S) is investigated, and it is shown, in what extent the structure of S can be restored from the structure of its information space. In particular, an intrinsic binary relation on K(S), interpreted as entailment, is isolated, and an axiomatic description of a knowledge revision operation based on it is proposed.

Knowledge Representation on the Web Revisited: The Case for Prototypes

2016

Recently, RDF and OWL have become the most common knowledge representation languages in use on the Web, propelled by the recommendation of the W3C. In this paper we examine an alternative way to represent knowledge based on Prototypes. This Prototype-based representation has different properties, which we argue to be more suitable for data sharing and reuse on the Web. Prototypes avoid the distinction between classes and instances and provide a means for object-based data sharing and reuse.

<title>HAP: a hybrid system for reasoning about actions and plans in robotics</title>

1990

The paper describes the main ideas and principles of HAP (Hybrid representation of Actions and Plans), a system for hybrid representation and reasoning in advanced robotics. In this context, hybrid representation refers to the integration of both symbolic and analogic knowledge representation paradigms. In particular, the logic/symbolic component is based on a KL-ONE-like representation language. The system embeds "analogic experts", that are concurrent procedures operating in a direct and fast way on the world representation. These "experts" help the system in planning a correct temporal sequence of actions. As a reference scenario, assembly (and disassembly) problems are considered. The a…

Handling Context-Sensitive Temporal Knowledge from Multiple Differently Ranked Sources

1999

In this paper we develop one way to represent and reason with temporal relations in the context of multiple experts. Every relation between temporal intervals consists of four endpoints’ relations. It is supposed that the context we know is the value of every expert competence concerning every endpoint relation. Thus the context for an interval temporal relation is one kind of compound expert’s rank, which has four components appropriate to every interval endpoints’ relation. Context is being updated after every new opinion is being added to the previous opinions about certain temporal relation. The context of a temporal relation collects all support given by different experts to all compon…