Browsing by Author "Kompatsiaris, Ioannis"

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  • A Hybrid approach for biomedical relation extraction using finite state automata and random forest-weighted fusion
    Mavropoulos, Thanassis; Liparas, Dimitris; Symeonidis, Spyridon; Vrochidis, Stefanos; Kompatsiaris, Ioannis (Springer, 2017)
    The automatic extraction of relations between medical entities found in related texts is considered to be a very important task, due to the multitude of applications that it can support, from question answering systems to ...
  • A hybrid framework for news clustering based on the DBSCAN-Martingale and LDA
    Gialampoukidis, Ilias; Vrochidis, Stefanos; Kompatsiaris, Ioannis; Wanner, Leo (Springer, 2016)
    Nowadays there is an important need by journalists and media monitoring companies to cluster news in large amounts of web articles, in order to ensure fast access to their topics or events of interest. Our aim in this work ...
  • A Hybrid graph-based and non-linear late fusion approach for multimedia retrieval
    Gialampoukidis, Ilias; Moumtzidou, Anastasia; Liparas, Dimitris; Vrochidis, Stefanos; Kompatsiaris, Ioannis (Institute of Electrical and Electronics Engineers (IEEE), 2016)
    Nowadays, multimedia retrieval has become a task of high importance, due to the need for efficient and fast access to very large and heterogeneous multimedia collections. An interesting challenge within the aforementioned ...
  • A Multimedia interactive search engine based on graph-based and non-linear multimodal fusion
    Moumtzidou, Anastasia; Gialampoukidis, Ilias; Mironidis, Theodoros; Liparas, Dimitris; Vrochidis, Stefanos; Kompatsiaris, Ioannis (Institute of Electrical and Electronics Engineers (IEEE), 2016)
    This paper presents an interactive multimedia search engine, which is capable of searching into multimedia collections by fusing textual and visual information. Apart from multimedia search, the engine is able to perform ...
  • A multimodal analytics platform for journalists analyzing large-scale, heterogeneous multilingual, and multimedia content
    Vrochidis, Stefanos; Moumtzidou, Anastasia; Gialampoukidis, Ilias; Liparas, Dimitris; Casamayor, Gerard; Wanner, Leo; Heise, Nicolaus; Wagner, Tilman; Bilous, Andriy; Jamin, Emmanuel; Simeonov, Boyan; Alexiev, Vladimir; Busch, Reinhard; Arapakis, Ioannis; Kompatsiaris, Ioannis (Frontiers, 2018)
    Analysts and journalists face the problem of having to deal with very large, heterogeneous, and multilingual data volumes that need to be analyzed, understood, and aggregated. Automated and simplified editorial and authoring ...
  • A topic detection and visualisation system on social media posts
    Andreadis, Stelios; Gialampoukidis, Ilias; Vrochidis, Stefanos; Kompatsiaris, Ioannis (Springer, 2017)
    Large amounts of social media posts are produced on a daily basis and monitoring all of them is a challenging task. In this direction we demonstrate a topic detection and visualisation tool in Twitter data, which filters ...
  • Crater monitoring through social media observations
    Gialampoukidis, Ilias; Vrochidis, Stefanos; Kompatsiaris, Ioannis (Europlanet, 2017)
    Lunar craters have attracted the attention of not only scientists but also citizens. Modern high-resolution cameras with zoom capabilities allow citizens to capture and share pictures of the Moon in Social Media platforms, ...
  • Dem@Home: ambient intelligence for clinical support of people living with dementia
    Andreadis, Stelios; Stavropoulos, Thanos G.; Meditskos, Georgios; Kompatsiaris, Ioannis (CEUR Workshop Proceedings, 2016)
    With the ever-growing prevalence of dementia, nursing costs are in-creasing, while the ability to live independently vanishes. Dem@Home is an ambient assisted living framework to support independent living while receiv-ing ...
  • Description logics and rules for multimodal situational awareness in healthcare
    Meditskos, Georgios; Vrochidis, Stefanos; Kompatsiaris, Ioannis (Springer, 2017)
    We present a framework for semantic situation understand- ing and interpretation of multimodal data using Description Logics (DL) and rules. More precisely, we use DL models to formally describe contex- tualised dependencies ...
  • Exploiting visual similarities for ontology alignment
    Doulaverakis, Charalampos; Vrochidis, Stefanos; Kompatsiaris, Ioannis (SCITEPRESS, 2015)
    Ontology alignment is the process where two different ontologies that usually describe similar domains are ’aligned’, i.e. a set of correspondences between their entities, regarding semantic equivalence, is determined. In ...
  • Fast visual vocabulary construction for image retrieval using skewed-split k-d trees
    Gialampoukidis, Ilias; Vrochidis, Stefanos; Kompatsiaris, Ioannis (Springer, 2016)
    Most of the image retrieval approaches nowadays are based on the Bag-of-Words (BoW) model, which allows for representing an image efficiently and quickly. The efficiency of the BoW model is related to the efficiency of the ...
  • Multimedia retrieval based on non-linear graph-based fusion and partial least squares regression
    Gialampoukidis, Ilias; Moumtzidou, Anastasia; Liparas, Dimitris; Tsikrika, Theodora; Vrochidis, Stefanos; Kompatsiaris, Ioannis (Springer, 2017)
    Heterogeneous sources of information, such as images, videos, text and metadata are often used to describe di erent or complementary views of the same multimedia object, especially in the online news domain and in large ...
  • MULTISENSOR: development of multimedia content integration technologies for journalism, media monitoring and international exporting decision support
    Vrochidis, Stefanos; Kompatsiaris, Ioannis; Casamayor, Gerard; Arapakis, Ioannis; Busch, Reinhard; Alexiev, Vladimir; Jamin, Emmanuel; Jugov, Michael; Heise, Nicolaus; Forrellat, Teresa; Liparas, Dimitris; Wanner, Leo (Institute of Electrical and Electronics Engineers (IEEE), 2015)
    This paper presents an overview and the first results of the FP7 MULTISENSOR project, which deals with multidimensional content integration of multimedia content for intelligent sentiment enriched and context ...
  • Ontology-driven context interpretation and conflict resolution for dialogue-based home care assistance
    Meditskos, Georgios; Kontopoulos, Efstratios; Vrochidis, Stefanos; Kompatsiaris, Ioannis (CEUR Workshop Proceedings (CEUR-WS.org), 2016)
    In this paper we present a framework for conversational awareness and conflict resolution in spoken dialogue systems for home care assistance. Conver-sational awareness is supported through OWL ontologies for capturing ...
  • Query-based topic detection using concepts and named entities
    Gialampoukidis, Ilias; Liparas, Dimitris; Vrochidis, Stefanos; Kompatsiaris, Ioannis (CEUR Workshop Proceedings, 2016)
    In this paper, we present a framework for topic detection in news articles. The framework receives as input the results retrieved from a query-based search and clusters them by topic. To this end, the recently introduced ...
  • Question answering over pattern-based user models
    Meditskos, Georgios; Dasiopoulou, Stamatia; Vrochidis, Stefanos; Kompatsiaris, Ioannis (ACM Association for Computer Machinery, 2016)
    In this paper we present an ontology-driven framework for natural language question analysis and answering over user models (e.g. preferences, habits and health problems of individuals) that are formally captured using ...
  • Retrieval of multimedia objects by fusing multiple modalities
    Gialampoukidis, Ilias; Moumtzidou, Anastasia; Tsikrika, Theodora; Vrochidis, Stefanos; Kompatsiaris, Ioannis (ACM Association for Computer Machinery, 2016)
    Searching for multimedia objects with heterogeneous modalities is critical for the construction of effective multimedia retrieval systems. Towards this direction, we propose a framework for the multimodal fusion of visual ...
  • Topic detection using the DBSCAN-Martingale and the time operator
    Gialampoukidis, Ilias; Vrochidis, Stefanos; Kompatsiaris, Ioannis; Antoniou, Ioannis (2017)
    Topic detection is usually considered as a decision process implemented in some relevant context, for example clustering. In this case, clusters correspond to topics that should be identifed. Density-based clustering, for ...
  • Towards a multimedia knowledge-based agent with social competence and human interaction capabilities
    Wanner, Leo; Blat, Josep; Dasiopoulou, Stamatia; Domínguez Bajo, Mónica; Llorach, Gerard; Mille, Simon; Sukno, Federico Mateo; Kamateri, Eleni; Kompatsiaris, Ioannis; Vrochidis, Stefanos; André, Elisabeth; Lingenfelser, Florian; Mehlmann, Gregor; Stam, Andries; Stellingwerff, Ludo; Lamel, Lori; Vieru, Bianca; Minker, Wolfgang; Pragst, Louisa; Ultes, Stefan (ACM Association for Computer Machinery, 2016)
    We present work in progress on an intelligent embodied conversation agent in the basic care and healthcare domain. In contrast to most of the existing agents, the presented agent is aimed to have linguistic cultural, social ...
  • Unsupervised keyword extraction using the GoW model and centrality scores
    Batziou, Elissavet; Gialampoukidis, Ilias; Vrochidis, Stefanos; Kompatsiaris, Ioannis (Springer, 2017)
    Nowadays, a large amount of text documents are produced on a daily basis, so we need e cient and e ective access to their con- tent. News articles, blogs and technical reports are often lengthy, so the reader needs a quick ...