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Knowledge Management for Public Administrations: Technical Realizations of an Enterprise Attention Management System
The improvement of governments’ efficiency has gained great importance and validity especially in the current times of economic downturn. E-Government constitutes the most contemporary techno-managerial proposition in the track of possible interventions. The paper addresses, more specifically, empowerments necessitated by Public Administration (PA) organizations. Anchored on the needs of three real-life cases, the paper describes the conception and the realization of an IT artefact together with its methodological appeals aiming at improving information access and delivery and thus PAs’ decision making capacity. Our proposition constitutes a novel approach for managing users’ attention in knowledge intensive organizations which goes beyond informing a user about changes in relevant information towards proactively supporting the user to react on changes. The approach is based on an expressive attention model, which is realized by combining ECA (Event-Condition-Action) rules with ontologies. The technical realizations described in the paper constitute the underlying infrastructure of an Enterprise Attention Management System
Reason Maintenance - State of the Art
This paper describes state of the art in reason maintenance with a focus on its future usage in the KiWi project. To give a bigger picture of the field, it also mentions closely related issues such as non-monotonic logic and paraconsistency. The paper is organized as follows: first, two motivating scenarios referring to semantic wikis are presented which are then used to introduce the different reason maintenance techniques
Social Preferences and the Third Sector: Looking for a Microeconomic Foundation of the Local Development Path
The aim of the paper is to endorse the principle, recurrent in non-profit literature, that the third sector is an institution that supports the development process of economic systems. The third sector is considered as an institution that âÃÂÃÂfavors, transmits and cementsâÃÂàthe role of social preferences in a given economy and, in this way, it contributes to development. The paper thus considers two stances taken up in economic theory: (i) the theory of social preferences; (ii) the modern theory of development. These two stances do not exclusively and specifically refer to the third sector, and they generally follow parallel paths, rarely being aware of each other: in the paper, the third sector is assumed to form a bridge between them in that social preferences are supposed to be one of the driving forces in the change process of an economy.endogenous social preferences; third sector; local development
Deep Learning based Recommender System: A Survey and New Perspectives
With the ever-growing volume of online information, recommender systems have
been an effective strategy to overcome such information overload. The utility
of recommender systems cannot be overstated, given its widespread adoption in
many web applications, along with its potential impact to ameliorate many
problems related to over-choice. In recent years, deep learning has garnered
considerable interest in many research fields such as computer vision and
natural language processing, owing not only to stellar performance but also the
attractive property of learning feature representations from scratch. The
influence of deep learning is also pervasive, recently demonstrating its
effectiveness when applied to information retrieval and recommender systems
research. Evidently, the field of deep learning in recommender system is
flourishing. This article aims to provide a comprehensive review of recent
research efforts on deep learning based recommender systems. More concretely,
we provide and devise a taxonomy of deep learning based recommendation models,
along with providing a comprehensive summary of the state-of-the-art. Finally,
we expand on current trends and provide new perspectives pertaining to this new
exciting development of the field.Comment: The paper has been accepted by ACM Computing Surveys.
https://doi.acm.org/10.1145/328502
People on Drugs: Credibility of User Statements in Health Communities
Online health communities are a valuable source of information for patients
and physicians. However, such user-generated resources are often plagued by
inaccuracies and misinformation. In this work we propose a method for
automatically establishing the credibility of user-generated medical statements
and the trustworthiness of their authors by exploiting linguistic cues and
distant supervision from expert sources. To this end we introduce a
probabilistic graphical model that jointly learns user trustworthiness,
statement credibility, and language objectivity. We apply this methodology to
the task of extracting rare or unknown side-effects of medical drugs --- this
being one of the problems where large scale non-expert data has the potential
to complement expert medical knowledge. We show that our method can reliably
extract side-effects and filter out false statements, while identifying
trustworthy users that are likely to contribute valuable medical information
A typology of propagation of technology and social preferences in the process of economic development: An input-output approach
In this paper we look at the interplay of technology and social preferences in different stages of economic development. We use a set of input-output tables for 32 different countries, published by OECD. The tables refer to the period 1996-2001 and were consolidated in 48 sectors so that structural comparisons were possible. Through the use of the fields of influence of structural change for partitioned input-output systems, we confirm that, for different levels of per capita GDP, technological progress is an important element to drive output growth. However, as an economy evolves, our dataset also confirm that the composition of final demand, which reveals social preferences in a static way, move away from agricultural and manufacturing to services activities. Such structural changes favor sectors with weaker output multipliers generating a force that helps driving income convergence among countries.Social Preferences; Economic Development; Input-Output
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