Lora Aroyo mainly focuses on World Wide Web, Semantic Web, Multimedia, User modeling and Personalization. Lora Aroyo has included themes like Ontology and Knowledge economy in her World Wide Web study. Her research integrates issues of Web intelligence and Library science in her study of Semantic Web.
Her Multimedia research is multidisciplinary, incorporating perspectives in Domain, Recommender system, Adaptive learning, Adaptation and Electronic performance support systems. Her User modeling study combines topics from a wide range of disciplines, such as Semantic analysis, Friendship, Social system and Presentation. Lora Aroyo focuses mostly in the field of Personalization, narrowing it down to topics relating to Mobile device and, in certain cases, Information presentation, Relevance and Serendipity.
Her primary areas of study are World Wide Web, Semantic Web, Multimedia, Crowdsourcing and Information retrieval. Many of her studies involve connections with topics such as User modeling and World Wide Web. Her study looks at the relationship between User modeling and topics such as Human–computer interaction, which overlap with Domain.
Lora Aroyo combines subjects such as Ontology, Semantic interoperability, Interoperability and Semantics with her study of Semantic Web. Her Crowdsourcing research integrates issues from Annotation, Artificial intelligence, Relationship extraction, Ambiguity and Data science. Her Information retrieval study incorporates themes from Metadata and Task.
Her primary areas of investigation include Crowdsourcing, Artificial intelligence, Data science, World Wide Web and Natural language processing. Lora Aroyo has researched Crowdsourcing in several fields, including Annotation, Task, Relationship extraction and Ambiguity. Her Annotation research includes elements of Ranking, Metadata and Information retrieval.
The various areas that Lora Aroyo examines in her Artificial intelligence study include Machine learning and Interoperability. Her work in the fields of Digital humanities, Semantic Web and Open data overlaps with other areas such as Suite. Her work in Semantic Web addresses subjects such as Data modeling, which are connected to disciplines such as Linked data.
Her primary scientific interests are in Crowdsourcing, Artificial intelligence, Ambiguity, Data science and Linked data. Her biological study spans a wide range of topics, including Ranking, Task and Information retrieval. Her work in Artificial intelligence addresses issues such as Machine learning, which are connected to fields such as Information extraction and Named-entity recognition.
The study incorporates disciplines such as Sentence, Natural language processing and FrameNet in addition to Ambiguity. Her work deals with themes such as Ontology, Semantic Web, CIDOC Conceptual Reference Model, Data modeling and Measure, which intersect with Data science. Her study in Linked data is interdisciplinary in nature, drawing from both Open data and Data model.
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The Semantic Web: Research and Applications
Lora Aroyo;Grigoris Antoniou;Eero Hyvönen;Annette ten Teije.
Crowdsourcing in the cultural heritage domain: opportunities and challenges
Johan Oomen;Lora Aroyo.
communities and technologies (2011)
The effects of transparency on trust in and acceptance of a content-based art recommender
Henriette Cramer;Vanessa Evers;Satyan Ramlal;Maarten Someren.
User Modeling and User-adapted Interaction (2008)
The Semantic Web - ISWC 2011: 10th International Semantic Web Conference, Bonn, Germany, October 23-27, 2011, Proceedings, Part I
Lora Aroyo;Chris Welty;Harith Alani;Jamie Taylor.
Lecture Notes in Computer Science (2011)
The New Challenges for E-learning: The Educational Semantic Web
Lora Aroyo;Darina Dicheva.
Educational Technology & Society (2004)
Interoperability in Personalized Adaptive Learning
Lora Aroyo;Peter Dolog;Geert-Jan Houben;Milos Kravcik.
Educational Technology & Society (2006)
The Next Big Thing: Adaptive Web-Based Systems
Pme Paul De Bra;LM Lora Aroyo;V Vadim Chepegin.
Journal of Digital Information (2006)
Semantic annotation and search of cultural-heritage collections: The MultimediaN E-Culture demonstrator
Guus Schreiber;Alia Amin;Lora Aroyo;Mark van Assem.
Journal of Web Semantics (2008)
The Semantic Web - ISWC 2013
Harith Alani;Lalana Kagal;Achille Fokoue;Paul Groth.
Lecture Notes in Computer Science (2013)
Truth Is a Lie: Crowd Truth and the Seven Myths of Human Annotation
Lora Aroyo;Chris Welty.
Ai Magazine (2015)
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