Reasoning about Temporal Context using Ontology and Abductive Constraint Logic Programming

The underlying assumptions for interpreting the meaning of data often change over time, which further complicates the problem of semantic heterogeneities among autonomous data sources. As an extension to the COntext INterchange (COIN) framework, this paper introduces the notion of temporal context as a formalization of the problem. We represent temporal context as a multi-valued method in F-Logic; however, only one value is valid at any point in time, the determination of which is constrained by temporal relations. This representation is then mapped to an abductive constraint logic programming framework with temporal relations being treated as constraints. A mediation engine that implements the framework automatically detects and reconciles semantic differences at different times. We articulate that this extended COIN framework is suitable for reasoning on the Semantic Web.

Reasoning about Temporal Context using Ontology and Abductive Constraint Logic Programming

The underlying assumptions for interpreting the meaning of data often change over time, which further complicates the problem of semantic heterogeneities among autonomous data sources. As an extension to the COntext INterchange (COIN) framework, this paper introduces the notion of temporal context as a formalization of the problem. We represent temporal context as a multi-valued method in F-Logic; however, only one value is valid at any point in time, the determination of which is constrained by temporal relations. This representation is then mapped to an abductive constraint logic programming framework with temporal relations being treated as constraints. A mediation engine that implements the framework automatically detects and reconciles semantic differences at different times. We articulate that this extended COIN framework is suitable for reasoning on the Semantic Web.

Reasoning about Temporal Context using Ontology and Abductive Constraint Logic Programming

The underlying assumptions for interpreting the meaning of data often change over time, which further complicates the problem of semantic heterogeneities among autonomous data sources. As an extension to the COntext INterchange (COIN) framework, this paper introduces the notion of temporal context as a formalization of the problem. We represent temporal context as a multi-valued method in F-Logic; however, only one value is valid at any point in time, the determination of which is constrained by temporal relations. This representation is then mapped to an abductive constraint logic programming framework with temporal relations being treated as constraints. A mediation engine that implements the framework automatically detects and reconciles semantic differences at different times. We articulate that this extended COIN framework is suitable for reasoning on the Semantic Web.

Reasoning about Temporal Context using Ontology and Abductive Constraint Logic Programming

The underlying assumptions for interpreting the meaning of data often change over time, which further complicates the problem of semantic heterogeneities among autonomous data sources. As an extension to the COntext INterchange (COIN) framework, this paper introduces the notion of temporal context as a formalization of the problem. We represent temporal context as a multi-valued method in F-Logic; however, only one value is valid at any point in time, the determination of which is constrained by temporal relations. This representation is then mapped to an abductive constraint logic programming framework with temporal relations being treated as constraints. A mediation engine that implements the framework automatically detects and reconciles semantic differences at different times. We articulate that this extended COIN framework is suitable for reasoning on the Semantic Web.

A comparison of the alr and ilr transformations for kernel density estimation of compositional data

In a seminal paper, Aitchison and Lauder (1985) introduced classical kernel density estimation techniques in the context of compositional data analysis. Indeed, they gave two options for the choice of the kernel to be used in the kernel estimator. One of these kernels is based on the use the alr transformation on the simplex SD jointly with the normal distribution on RD-1. However, these authors themselves recognized that this method has some deficiencies. A method for overcoming these dificulties based on recent developments for compositional data analysis and multivariate kernel estimation theory, combining the ilr transformation with the use of the normal density with a full bandwidth matrix, was recently proposed in Martín-Fernández, Chacón and Mateu- Figueras (2006). Here we present an extensive simulation study that compares both methods in practice, thus exploring the finite-sample behaviour of both estimators

Application of compositional data analysis to geochemical data of marine sediments

In an earlier investigation (Burger et al., 2000) five sediment cores near the Rodrigues Triple Junction in the Indian Ocean were studied applying classical statistical methods (fuzzy c-means clustering, linear mixing model, principal component analysis) for the extraction of endmembers and evaluating the spatial and temporal variation of geochemical signals. Three main factors of sedimentation were expected by the marine geologists: a volcano-genetic, a hydro-hydrothermal and an ultra-basic factor. The display of fuzzy membership values and/or factor scores versus depth provided consistent results for two factors only; the ultra-basic component could not be identified. The reason for this may be that only traditional statistical methods were applied, i.e. the untransformed components were used and the cosine-theta coefficient as similarity measure. During the last decade considerable progress in compositional data analysis was made and many case studies were published using new tools for exploratory analysis of these data. Therefore it makes sense to check if the application of suitable data transformations, reduction of the D-part simplex to two or three factors and visual interpretation of the factor scores would lead to a revision of earlier results and to answers to open questions . In this paper we follow the lines of a paper of R. Tolosana- Delgado et al. (2005) starting with a problem-oriented interpretation of the biplot scattergram, extracting compositional factors, ilr-transformation of the components and visualization of the factor scores in a spatial context: The compositional factors will be plotted versus depth (time) of the core samples in order to facilitate the identification of the expected sources of the sedimentary process. Kew words: compositional data analysis, biplot, deep sea sediments

Embedding Emotional Context in Recommender Systems

Emotions are crucial for user's decision making in recommendation processes. We first introduce ambient recommender systems, which arise from the analysis of new trends on the exploitation of the emotional context in the next generation of recommender systems. We then explain some results of these new trends in real-world applications through the smart prediction assistant (SPA) platform in an intelligent learning guide with more than three million users. While most approaches to recommending have focused on algorithm performance. SPA makes recommendations to users on the basis of emotional information acquired in an incremental way. This article provides a cross-disciplinary perspective to achieve this goal in such recommender systems through a SPA platform. The methodology applied in SPA is the result of a bunch of technology transfer projects for large real-world rccommender systems

Data-Driven Text Generation using Neural Networks & Provenance is Complicated and Boring — Is there a solution?

Title: Data-Driven Text Generation using Neural Networks Speaker: Pavlos Vougiouklis, University of Southampton Abstract: Recent work on neural networks shows their great potential at tackling a wide variety of Natural Language Processing (NLP) tasks. This talk will focus on the Natural Language Generation (NLG) problem and, more specifically, on the extend to which neural network language models could be employed for context-sensitive and data-driven text generation. In addition, a neural network architecture for response generation in social media along with the training methods that enable it to capture contextual information and effectively participate in public conversations will be discussed. Speaker Bio: Pavlos Vougiouklis obtained his 5-year Diploma in Electrical and Computer Engineering from the Aristotle University of Thessaloniki in 2013. He was awarded an MSc degree in Software Engineering from the University of Southampton in 2014. In 2015, he joined the Web and Internet Science (WAIS) research group of the University of Southampton and he is currently working towards the acquisition of his PhD degree in the field of Neural Network Approaches for Natural Language Processing. Title: Provenance is Complicated and Boring — Is there a solution? Speaker: Darren Richardson, University of Southampton Abstract: Paper trails, auditing, and accountability — arguably not the sexiest terms in computer science. But then you discover that you've possibly been eating horse-meat, and the importance of provenance becomes almost palpable. Having accepted that we should be creating provenance-enabled systems, the challenge of then communicating that provenance to casual users is not trivial: users should not have to have a detailed working knowledge of your system, and they certainly shouldn't be expected to understand the data model. So how, then, do you give users an insight into the provenance, without having to build a bespoke system for each and every different provenance installation? Speaker Bio: Darren is a final year Computer Science PhD student. He completed his undergraduate degree in Electronic Engineering at Southampton in 2012.

Testing the law of one price in food markets: evidence for Colombia using disaggregated data

This paper applies stationarity tests to examine evidence of market integration for a relatively large sample of food products in Colombia. We Önd little support for market integration when using the univariate KPSS tests for stationarity. However, within a panel context and after allowing for cross sectional dependence, the Hadri tests provide much more evidence supporting the view that food markets are integrated or, in other words, that the law of one price holds for most products.

La participació social dels adolescents en el context escolar i el seu benestar personal: estudi psicosocial d'una experiència participativa

The aim of this research is to gain greater understanding of the psychosocial implications of adolescents’ social participation at school and how this relates to their personal well-being. We designed this research from the perspective of methodological pluralism, articulating quantitative and qualitative methodology. The data obtained allow us to identify key elements of the relationship between social participation and personal well-being in adolescents and led us to elaborate a theoretical model that explains how the relationship between social participation and personal well-being is concerned with three interrelating factors: (a) adolescents’ stance with regard to social participation, (b) their aspirations for change, and (c) the attitudes and expectations of key adults in the adolescents’ lives with regard to them and their social participation.

El pas del Paleolític Superior a Catalunya i la seva interpretació dins el context geogràfic franco-ibèric

S'ha analitzat el pas del paleolític mitjà al paleolític superior a Catalunya en base a l'estudi dels jaciments de la cova dels Ermitons (Sales de Llierca, Garrotxa) i de les coves del Reclau -Arbreda, Mollet i Reclau Viver-(Serinyà, Pla de l'Estany). En concret s'ha estudiat la cultura material i la fauna dels nivells mosterians tardans (paleolítc mitjà final) de les coves de l'Arbreda i dels Ermitons i dels aurinyacians (paleolític superior inicial) de les coves de l'Arbreda i de Mollet. Igualment s'han analitzat els territoris d'explotació de la cova dels Ermitons i de les coves del Reclau. D'aquesta anàlisi es desprén que els dos jaciments se situen en medis absolutament diferents. S'han analitzat els contextos geològics dels dos llocs, s'ha fet les descripció morfològica de cada un dels dos jaciments, així com l'estratigràfica i sedimentològica de cada cova. S'han datat els nivells mosterians i aurinyacians esmentats pel mètode del Carboni 14 AMS, així com també els aurinyacians de la cova del Reclau Viver. S'acompanyen aquestes dades amb les anàlisis paleoecològiques corresponents que s'han pogut efectuar: palinologia, antracologia, ictiologia, herpetologia, aus, quiròpters, insectívors i rosegadors. Es comparen les datacions obtingudes ambles d'altres jaciments i troballes catalans del mateix període: l'abric Romaní (Capellades, Anoia), la Roca dels Bous (Camarasa, la Noguera) i la mandíbula de Banyoles (Pla de l'Estany). Cim a conclusions s'estableixen les diferències a Catalunya entre el paleolític mitjà (cultura de l'home Neandertal) i el paleolític superior (cultura de l'home anatòmicament modern). En el segon apareix la tècnica de talla laminar, la indústria òssia ben elaborada, l'ornamentació, la decoració, es generalitza la importació del sílex com a matèria primera, es diversifica l'utillatge lític i hi ha una major utilització de les coves. S'interpreta aquest pas dins del context geogràfic franco-ibèric i es conclou que a Catalunya es caracteritza fonamentalment per dos fenòments: el reemplaçament abrupte i la contemporaneïtat. Aquesta abastaria entre 40.000 BP i el 33.000 BP segons cronologia radiocarbònica. Durant aquests temps la influència de la cultura del paleolític superior sobre la del paleolític mitjà seria escassa, encara que identificada per la presencia d'alguns útils de tipus paleolític superior en el tardomosterià de la cova dels Ermitons

Loudness discomfort levels: A retrospective study comparing data from Pascoe (1988) and Washington University School of Medicine

Loudess discomfort levels (LDLs) were gathered from three Washington University School of Medicine sites, for a total of 325 subjects (total ears=454). These levels were compared to mean LDLs reported by Pascoe (1988). The results revealed that the mean LDL measured at WUSM (ie., the IHAFF procedure) is significantly different that the LDL reported by Pascoe (1988).