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Ontology-Based Recommendation of Editorial Products [chapter]

Thiviyan Thanapalasingam, Francesco Osborne, Aliaksandr Birukou, Enrico Motta
2018 Lecture Notes in Computer Science  
SBR recommends books, journals, and conference proceedings relevant to a conference by taking advantage of a semantically enhanced representation of about 27K editorial products.  ...  This is based on the Computer Science Ontology, a very large-scale, automatically generated taxonomy of research areas.  ...  Acknowledgements We would like to thank publishing editors at Springer Nature for assisting us in the evaluation of SBR and allowing us to access their large repositories of scholarly data.  ... 
doi:10.1007/978-3-030-00668-6_21 fatcat:nfqfdnxnojcy7a5ovysp57fpni

The Smart Book Recommender: An Ontology-Driven Application for Recommending Editorial Products

Thiviyan Thanapalasingam, Francesco Osborne, Aliaksandr Birukou, Enrico Motta
2018 International Semantic Web Conference  
Here we present the Smart Book Recommender (SBR), an ontology-based recommender that supports the Springer Nature editorial team in selecting the editorial products to market at specific venues.  ...  It builds on a dataset of 27K books, journals, and conference proceedings annotated with topics from the Computer Science Ontology, a large-scale ontology of research areas.  ...  The most recent product of this collaboration is the Smart Book Recommender (SBR) [3] , an ontology-based recommender system designed for suggesting books, journals, and proceedings for specific Computer  ... 
dblp:conf/semweb/Thanapalasingam18a fatcat:kqewwnn7xfgdvf4t7a4gw7lxci

A Semantically Enriched Web Usage Based Recommendation Model

Ramesh, Chalapati Rao, Goverdhan
2011 International Journal of Computer Science & Information Technology (IJCSIT)  
The frequent navigational patterns are extracted in the form of Ontology instances instead of Web page views and the resultant semantic patterns are used for generating Web page recommendations to the  ...  However conventional Web usage based recommender systems are limited in their ability to use the domain knowledge of the Web application. The focus is only on Web usage data.  ...  The ontology model of the domain includes the concepts Product, Supplier, ProductCategory, Order, Purchase, warehouse.  ... 
doi:10.5121/ijcsit.2011.3517 fatcat:l7m7e3g6lbhdlpvvowd4xypbu4

A Model of Hybrid Media for Publishing Industry

Rocco Raso, Dirk Werth, Peter Loos
2015 International Conference on Wirtschaftsinformatik  
of a recommender system into a MR environment, which is possible through the development of an automated app creation process.  ...  Motivated by the necessity to modify the traditional paradigm of print media to face the competition of internet-based media, we show a perspective oriented to integrate paper medium and internet-based  ...  Acknowledgments The research project INTeRACT 4AP has been funded by the German Federal Ministry of Education and Research (BMBF) under the framework of the KMU-Innovativ Programme for Information and  ... 
dblp:conf/wirtschaftsinformatik/RasoWL15 fatcat:h7wyhcztqfb2bkjafmf5kkcjsi

MAPS, AND ONTOLOGIES BPM FOR MODELING AND ANALYSIS OF FLOW INFORMATION: laboratory journal

Benedito Medeiros Neto, Thallita Alves Silva
2021 Revista Observatório  
-ICT, notably algorithms, automation of the processes of collection, evaluation, composition, presentation and distribution of news.  ...  The journalism that shares its raw material, information, through the use and mediation of technologies, is no exception, and should take advantage of the use of Information and Communication Technologies  ...  The development of the modeling of the Jornal Experimental's production flow, based on ontology, continued, firstly, with the representation of the workflow through its Mind Map.  ... 
doi:10.20873/uft.2447-4266.2021v7n3a2en fatcat:zokix4iuiragvmgw5e22hfjqo4

Using Ontology to Represent Cultural Aspects of Local Products for Supporting Local Community Enterprise in Thailand

Phakharach Plirdpring, Taneth Ruangrajitpakorn
2022 Journal of Information Science Theory and Practice  
In usage, accuracy of the query and recommendation results are evaluated at 97.38% searching accuracy and 85.03% for recommending interesting products.  ...  An ontology is applied to demonstrate the innate information regarding the implicit values of the products and is used as a core for a semantic search system.  ...  Ontology-Based Recommendation of Editorial Products (Thanapalasingam et al., 2018) is a work using an ontology as a taxonomy of research areas regarding scholarly publications in the field of computer  ... 
doi:10.1633/jistap.2022.10.1.4 doaj:7a1bcfba59f94627a15ec02deaca0dd0 fatcat:h5rf3lfvp5blhogq4ies3akfwy

The Audio Effects Ontology

Thomas Wilmering, György Fazekas, Mark B. Sandler
2013 Zenodo  
and content-based music recommendation systems.  ...  It uses its core elements that allow for the representation of time-based events (Event and Timeline ontologies), and the workflow of music production in an editorial context subsumed under broader terms  ... 
doi:10.5281/zenodo.1415004 fatcat:ohu42fou6fgnnkepj723rekniu

Publishing Music Similarity Features On The Semantic Web

Dan Tidhar, György Fazekas, Sefki Kolozali, Mark B. Sandler
2009 Zenodo  
ACKNOWLEDGEMENTS The authors acknowledge the support of the School of Electronic Engineering and Computer Science, Queen Mary, University of London.  ...  It serves as a standard base ontology which can be readily used for describing a wide range of concepts.  ...  These include high-level editorial data about songs or artists, production data about musical recordings, and detailed structural information about music using events and timelines.  ... 
doi:10.5281/zenodo.1417070 fatcat:jaxwtzit25a7ja26clxec6mwku

Ontology-Based Collaborative Recommendation

Ahu Sieg, Bamshad Mobasher, Robin Burke
2010 User Modeling, Adaptation, and Personalization  
We empirically show that the ontological approach significantly improves the accuracy and coverage of recommendations.  ...  Our approach to building context-sensitive collaborative recommendation is a hybrid one that incorporates semantic knowledge in the form of a domain ontology.  ...  Knowledgebased recommender systems use knowledge about users and products to pursue a knowledge-based approach to generating a recommendation, reasoning about what products meet the user's requirements  ... 
dblp:conf/um/SiegMB10 fatcat:kurajypthrbxlct2xf7oihlmm4

The Computer Science Ontology: A Large-Scale Taxonomy of Research Areas [chapter]

Angelo A. Salatino, Thiviyan Thanapalasingam, Andrea Mannocci, Francesco Osborne, Enrico Motta
2018 Lecture Notes in Computer Science  
Ontologies of research areas are important tools for characterising, exploring, and analysing the research landscape.  ...  In this paper, we introduce the Computer Science Ontology (CSO), a largescale, automatically generated ontology of research areas, which includes about 26K topics and 226K semantic relationships.  ...  The ultimate goal is to create a comprehensive set of large-scale and data driven ontologies describing most branches of science.  ... 
doi:10.1007/978-3-030-00668-6_12 fatcat:c3arhzreivd57hi462ibpztktu

Ontology Extraction and Usage in the Scholarly Knowledge Domain [article]

Angelo A. Salatino, Francesco Osborne, Enrico Motta
2020 arXiv   pre-print
, to support high-level tasks, such as topic classification, metadata extraction, and recommendation of books.  ...  In this chapter, we present the Computer Science Ontology (CSO), which is the largest ontology of research areas in the field of Computer Science, and discuss a number of applications that build on CSO  ...  Book recommendation The Smart Book Recommender (SBR) [31] is an ontology-based recommender system that supports the Springer Nature editorial team in promoting their publications at Computer Science  ... 
arXiv:2003.12611v2 fatcat:sxmuv4i5mjaq3db7tlcmy47ue4

Pragmatic Ontology Evolution: Reconciling User Requirements and Application Performance [chapter]

Francesco Osborne, Enrico Motta
2018 Lecture Notes in Computer Science  
, generation of recommendations, and data clustering.  ...  An evaluation of POE on the realworld scenario of the evolving Springer Nature taxonomy for editorial classification yielded excellent results, demonstrating a significant improvement over alternative  ...  Acknowledgements We would like to thank Springer DE for providing us with access to their large repositories of scholarly data.  ... 
doi:10.1007/978-3-030-00671-6_29 fatcat:d3gjetrif5annkf5vuu53pbhmy

Towards an "Internet of Food": Food Ontologies for the Internet of Things

Maged Boulos, Abdulslam Yassine, Shervin Shirmohammadi, Chakkrit Namahoot, Michael Brückner
2015 Future Internet  
In this paper, we review a number of "food ontologies", such as the Food Products Ontology/FOODpedia (by Kolchin and Zamula), Open Food Facts (by Gigandet et al.), FoodWiki (Ontology-driven Mobile Safe  ...  Automated food and drink recognition methods connect to cloud-based lookup databases (e.g., food item barcodes, previously identified food images, or previously classified NIR (Near Infrared) spectra of  ...  Author Contributions Conflicts of Interest The authors declare no conflict of interest.  ... 
doi:10.3390/fi7040372 fatcat:7sebtpuf2bdadhnw33i4lkd5ey

Music Recommendation: A multi-faceted approach

Oscar Celma, Xavier Serra
2006 Zenodo  
This thesis studies the different facets of music knowledge management (based on editorial, cultural and acoustic metadata).  ...  Finally, the descriptions are enclosed into an ontological framework for semantic integration and retrieval of audiovisual metadata.  ...  Moreover, Content Management schemes allow to gathering editorial data about the creation and production process of the content.  ... 
doi:10.5281/zenodo.3743108 fatcat:wcfdl34jnzeqtmzjzamjjvdt44

Improving the effectiveness of collaborative recommendation with ontology-based user profiles

Ahu Sieg, Bamshad Mobasher, Robin Burke
2010 Proceedings of the 1st International Workshop on Information Heterogeneity and Fusion in Recommender Systems - HetRec '10  
Our approach to building context-sensitive collaborative recommendation is a hybrid one that incorporates semantic knowledge in the form of a domain ontology.  ...  However, it remains a challenge to make collaborative recommendation sensitive to a user's specific context and to the changing shape of user interests over time.  ...  Knowledge-based recommender systems use knowledge about users and products to pursue a knowledge-based approach to generating a recommendation, reasoning about what products meet the user's requirements  ... 
doi:10.1145/1869446.1869452 fatcat:pipflc6elndgrggdgzt6254vgq
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