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Article
Open AccessDiversity and language technology: how language modeling bias causes epistemic injustice
It is well known that AI-based language technology—large language models, machine translation systems, multilingual dictionaries, and corpora—is currently limited to three percent of the world’s most widely sp...
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Article
Open AccessAdaptation of student behavioural routines during Covid-19: a multimodal approach
One population group that had to significantly adapt and change their behaviour during the COVID-19 pandemic is students. While previous studies have extensively investigated the impact of the pandemic on thei...
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Article
Open AccessRepresenting interlingual meaning in lexical databases
In today’s multilingual lexical databases, the majority of the world’s languages are under-represented. Beyond a mere issue of resource incompleteness, we show that existing lexical databases have structural l...
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Article
Open AccessHuman-in-the-loop handling of knowledge drift
We introduce and study knowledge drift (KD), a special form of concept drift that occurs in hierarchical classification. Under KD the vocabulary of concepts, their individual distributions, and the is-a relations...
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Article
Open AccessA large and evolving cognate database
We present CogNet, a large-scale, automatically-built database of sense-tagged cognates—words of common origin and meaning across languages. CogNet is continuously evolving: its current version contains over 8 mi...
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Article
Open AccessTowards Visual Semantics
Lexical Semantics is concerned with how words encode mental representations of the world, i.e., concepts. We call this type of concepts, classification concepts. In this paper, we focus on Visual Semantics, namel...
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Article
Open AccessPutting human behavior predictability in context
Various studies have investigated the predictability of different aspects of human behavior such as mobility patterns, social interactions, and shop** and online behaviors. However, the existing researches h...
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Article
Open AccessEmpowering Users in Online Open Communities
In this paper, we propose an architecture supporting online open communities, where by open communities, we mean communities where previously unknown people can join, possibly for a limited amount of time. The fu...
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Article
Open AccessRelation path embedding in knowledge graphs
Large-scale knowledge graphs have currently reached impressive sizes; however, they are still far from complete. In addition, most existing methods for knowledge graph completion only consider the direct links...
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Chapter
Ontology-Based Obfuscation and Anonymisation for Privacy
Healthcare Information Systems typically fall into the group of systems in which the need of data sharing conflicts with the privacy. A myriad of these systems have to, however, constantly communicate among ea...
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Chapter and Conference Paper
Erratum to: Provenance in Open Data Entity-Centric Aggregation
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Chapter and Conference Paper
Provenance in Open Data Entity-Centric Aggregation
Recently an increasing number of open data catalogs appear on the Web [1]. These catalogs contain data that represents real world entities and their attributes. Data can be imported from several catalogs to build...
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Chapter and Conference Paper
Entity-Centric Visualization of Open Data
The diversity, which is intrinsic to open data, affects intuitiveness and acceptance from the end users perspective. While the existing visualization techniques provide various ways to exploit open data in dif...
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Chapter and Conference Paper
A Distributed Entity Directory
We see the local content from peers organized in directories (i.e., on local ordered lists) containing local representations of entities from the real world (e.g., persons, locations, events). Different local ...
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Chapter and Conference Paper
A Semantic-Enabled Engine for Mobile Social Networks
Despite their success in general applications, social networks also present a series of challenges like attracting user signups, kee** a healthy contribution level, user privacy concerns, etc. This paper int...
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Article
A Facet-Based Methodology for the Construction of a Large-Scale Geospatial Ontology
We concentrate on geospatial ontologies. Our main contribution in this paper is a methodology and a minimal set of guiding principles, inspired by the faceted approach, as originally developed in library scien...
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Chapter and Conference Paper
A Faceted Ontology for a Semantic Geo-Catalogue
Geo-spatial applications need to provide powerful search capabilities to support users in their daily activities. However, discovery services are often limited by only syntactically matching user terminology t...
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Chapter and Conference Paper
GeoWordNet: A Resource for Geo-spatial Applications
Geo-spatial ontologies provide knowledge about places in the world and spatial relations between them. They are fundamental in order to build semantic information retrieval systems and to achieve semantic inte...
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Chapter
Models of Interaction as a Grounding for Peer to Peer Knowledge Sharing
Most current attempts to achieve reliable knowledge sharing on a large scale have relied on pre-engineering of content and supply services. This, like traditional knowledge engineering, does not by itself scal...
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Chapter and Conference Paper
Concept Search
In this paper we present a novel approach, called Concept Search, which extends syntactic search, i.e., search based on the computation of string similarity between words, with semantic search, i.e., search ba...
