Matias Frosterus

ORCID: 0000-0002-8355-0256
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About
Contact & Profiles
Research Areas
  • Semantic Web and Ontologies
  • Research in Social Sciences
  • Library Science and Information Systems
  • Service-Oriented Architecture and Web Services
  • Biomedical Text Mining and Ontologies
  • Advanced Database Systems and Queries
  • Data Quality and Management
  • Natural Language Processing Techniques
  • Topic Modeling
  • Web Data Mining and Analysis
  • Artificial Intelligence in Law
  • Image Retrieval and Classification Techniques
  • Digital Humanities and Scholarship
  • Data Management and Algorithms
  • Digital and Traditional Archives Management
  • Research Data Management Practices
  • European Monetary and Fiscal Policies
  • 3D Surveying and Cultural Heritage
  • Credit Risk and Financial Regulations
  • Botany, Ecology, and Taxonomy Studies
  • E-Government and Public Services
  • Scientific Computing and Data Management
  • Video Analysis and Summarization
  • Botany and Plant Ecology Studies
  • Invertebrate Taxonomy and Ecology

University of Helsinki
2007-2022

Library Network
2019

Aalto University
2008-2015

University of Technology
2011-2014

This article presents the vision and results of creating basis for a national semantic Web content infrastructure in Finland 2003-2007. The main elements are shared open metadata schemas, core ontologies, public ontology services. Several practical applications testing demonstrating usefulness overviewed fields eculture, ehealth, egovernment, elearning, ecommerce.

10.1109/icsc.2007.106 article EN International Conference on Semantic Computing (ICSC 2007) 2007-09-01

Traditionally, the structure of controlled vocabularies used for annotation can be utilised reasoning information retrieval. However, this problematic when applied in Linked Data context. typically comes from different organisations and domains with mutually incompatible without explicit links between them resulting data silos. This paper argues that to solve problem one has transform into a Open Ontology cloud. We present method transforming set legacy thesauri cloud interlinked ontologies...

10.1504/ijmso.2015.073879 article EN International Journal of Metadata Semantics and Ontologies 2015-01-01

We present an approach to diversify entity search by utilizing semantics and inferred from the initial results. Our makes use of ontologies independent component analysis descriptions reveal direct latent semantic connections between entities in The are then used sample a set diverse entities. empirically demonstrate performance our through retrieval experiments that real-world dataset composed four databases. results indicate significantly improves both diversity effectiveness search.

10.1109/icsc.2013.16 article EN 2013-09-01
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