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Leveraging Linked Data Analysis for Semantic Recommender Systems [chapter]

Andreas Thalhammer
2012 Lecture Notes in Computer Science  
With the arrival of linked data (LD), in particular Linked Open Data (LOD), 1 new information relating to what actually connects different vertices is available.  ...  Of course, these articles get much 1 Linking Open Data -http://ow.ly/8mPMW 2 DBpedia -http://dbpedia.org/ E.  ...  Just like our focus on linking items in the user profile to LOD items, Heitmann and Hayes utilize LOD links in order to enhance background information for recommendation corpora.  ... 
doi:10.1007/978-3-642-30284-8_64 fatcat:rvikpyohzzdavkck5d6ysdlfda

An Architecture to Enhance a Reference Management System with Recommendations from Open Linked Data

María Hallo, Sergio Luján-Mora
2018 Proceedings of the 10th International Conference on Computer Supported Education  
A content-based recommender module based on Open Linked Data is included into the framework.  ...  The metadata of the research publications and the corresponding PDF files links are extracted using the recommender module and the Application Program Interface from the Directory of Open Access Journals  ...  ACKNOWLEDGEMENTS This publication comes from research conducted in the project PII-16-06, with the financial support of Escuela Politécnica Nacional from Quito, Ecuador.  ... 
doi:10.5220/0006804104890496 dblp:conf/csedu/HalloL18 fatcat:plbvkfyryva5hhzlqmn3hirq4u

Towards Semantics-Aware Recommender System: A LOD-Based Approach

Asmaa Fridi, Sidi Mohamed Benslimane
2017 International Journal of Modern Education and Computer Science  
The advent of the Linked Open Data (LOD) initiative has spawned a wide range of open knowledge bases freely accessible on the Web.  ...  Recommender systems have contributed to the success of personalized websites as they can automatically and efficiently select items or services adapted to the user's interest from huge datasets.  ...  ACKNOWLEDGMENT The work described in this paper was supported by the National Research Project of Algeria under grant No. C00L07UN220120130004.  ... 
doi:10.5815/ijmecs.2017.02.07 fatcat:fhvl2h5knrhsbibmzhkp6ruf3q

Issues and Challenges in the Extraction and Mapping of Linked Open Data Resources with Recommender Systems Datasets

Nawi Rosmamalmi Mat, Noah Shahrul Azman Mohd, Zakaria Lailatul Qadri
2021 Journal of Information Science Theory and Practice  
The need for semantic data representation has been identified as one of the next challenges in Recommender Systems.  ...  This study demonstrates how LOD can be a vital yet rich source of content knowledge that helps recommender systems address the issues of data sparsity and insufficient content analysis.  ...  ACKNOWLEDGMENTS The authors gratefully acknowledge the sponsorship received to carry out this study from Tun Hussein Onn University of Malaysia and from the Malaysia Ministry of Higher Education.  ... 
doi:10.1633/jistap.2021.9.2.5 doaj:e1875757431c4820a8f7798edc35f7be fatcat:ez33r67nk5hzrhefwnvxvxaice

Towards a Semantic Graph-based Recommender System. A Case Study of Cultural Heritage

Sara Qassimi, El Hassan Abdelwahed
2021 Journal of universal computer science (Online)  
Our proposed approach represents a semantic graph-based recommender system of cultural heritage places through two steps; (1) constructing an emergent semantic description that semantically augments the  ...  However, collaborative tagging uses uncontrolled vocabulary which semanti- cally weakens the description of resources, consequently decreases their classification, clustering, thereby their recommendation  ...  [Musto et al. 2018 ] use Linked Open Data as an external knowledge graph implemented within a hybrid graph data model.  ... 
doi:10.3897/jucs.70330 fatcat:7m7h5whp4jhvzatit5hbd6hdu4

Utilizing DBpedia via CBR Approach of Recommender System
http://www.omicsonline.com/open-access/utilizing-dbpedia-via-cbr-approach-of-recommender-system-2277-1891.1000148.php?aid=19103

2013 International Journal of Advance Innovations Thoughts & Ideas  
Using Linked Open Data Cloud for knowledge extraction is a challenging as well as budding research field. Knowledge extraction is essential work of developing a Recommendation System (RS).  ...  This semantics can be accessed from a huge open source data cloud that are linked in meaningful way and named as Linked Open Data Cloud (LOD).  ...  Linked Open Data cloud [2] conceives semantic web with exploitation of linkages between concepts in the form of Ontologies [5] .  ... 
doi:10.4172/2277-1891.1000148 fatcat:qocenlbov5f23gvdjnwhholk4a

Recommender Systems and Linked Open Data [chapter]

Tommaso Di Noia, Vito Claudio Ostuni
2015 Lecture Notes in Computer Science  
We present an overview on recommender systems and we sketch how to use Linked Open Data to build a new generation of semantics-aware recommendation engines.  ...  Thanks to the Semantic Web technological stack and to the more recent Linked Open Data (LOD) initiative, a vast amount of RDF data have been published in freely accessible datasets connected with each  ...  Here we see how the semantics encoded in the Linked Open Data can be used for improving traditional recommender systems.  ... 
doi:10.1007/978-3-319-21768-0_4 fatcat:nwao4pnu7nhrjie5uh72mkrjdq

Linked Open Data in Location-Based Recommendation System on Tourism Domain: a survey

Phatpicha Yochum, Liang Chang, Tianlong Gu, Manli Zhu
2020 IEEE Access  
Third, we group the linked open data sources used in location-based recommendation system on tourism.  ...  In the tourism domain, many studies are using linked open data to address the problem of location-based recommendation by integrating data with other linked open datasets to enrich data and tourism content  ...  used by linked open data in location-based recommendation system on tourism; 3) Group the linked open data sources of location-based recommendation system on tourism; 4) Summarize the research achievements  ... 
doi:10.1109/access.2020.2967120 fatcat:yqwkrko6mzfw5e5kckfaxbxzju

CD-SemMF: Cross-Domain Semantic Relatedness Based Matrix Factorization Model Enabled with Linked Open Data for User Cold Start Issue

Senthilselvan Natarajan, Subramaniyaswamy Vairavasundaram, Ketan Kotecha, Indragandhi V, Saravanan Palani, Jatinderkumar R. Saini, Logesh Ravi
2022 IEEE Access  
system by exploiting Linked Open Data (LOD).  ...  Most of the existing systems inherited the idea of collaborative filtering (CF) and avoids the item metadata.  ...  This semantic information is taken from the Linked Open Data knowledge base "DBpedia".  ... 
doi:10.1109/access.2022.3175566 fatcat:aabm7h22d5bbdhosv7g74vgnze

Linked Data for Learning Analytics: Potentials and Challenges [chapter]

Amal Zouaq, Jelena Jovanovic, Srecko Joksimovic, Dragan Gasevic
2017 Handbook of Learning Analytics  
of data originating from heterogeneous sources are often dealt with, in the educational community, for integration and leveraging of heterogeneous data use of such a data model in both formal and informal  ...  This diversity poses multiple challenges related to the interoperability of learning platforms, the integration of heterogeneous data from multiple knowledge sources, and the content analysis of learning  ...  Current Data Integration Initiatives Using Linked Data Content Analysis Using Semantic Annotation semantic annotators 21 and Yago).  ... 
doi:10.18608/hla17.030 fatcat:thou2bhzxbhrbdrc6c6gm3aoxu

Dealing with Pure New User Cold-Start Problem in Recommendation System Based on Linked Open Data and Social Network Features

Usha Yadav, Neelam Duhan, Komal Kumar Bhatia
2020 Mobile Information Systems  
Linked Open Data (LOD) initiative sets standards for interoperability among cross domains and has gathered enormous amount of data over the past years, which provides various ways by which recommender  ...  Here, a new approach is devised to compute item similarity based on ontology, thus predicting the rating of nonrated item.  ...  Conflicts of Interest e authors declare that there are no conflicts of interest regarding the publication of this paper.  ... 
doi:10.1155/2020/8912065 fatcat:kp7aoacbnbgefo5udrmnrlluxq

MusicWeb: Music Discovery with Open Linked Semantic Metadata [chapter]

Mariano Mora-Mcginity, Alo Allik, György Fazekas, Mark Sandler
2016 Communications in Computer and Information Science  
The platform integrates open linked semantic metadata from various Semantic Web, music recommendation and social media data sources.  ...  These connections are further enhanced by thematic analysis of journal articles, blog posts and content-based similarity measures focussing on high level musical categories.  ...  The MusicWeb API uses a number of linked open data (LOD) resources and Semantic Web ontologies to process and aggregate information about artists: Musicbrainz 1 is an online, open, crowd-sourced music  ... 
doi:10.1007/978-3-319-49157-8_25 fatcat:lzubyrdkjbctfh5m52fnvvdesy

Trends in content-based recommendation

Pasquale Lops, Dietmar Jannach, Cataldo Musto, Toine Bogers, Marijn Koolen
2019 User modeling and user-adapted interaction  
Data-related trends Linked open data Traditionally, content-based recommender systems used metadata descriptions of items, or full-text indexing of textual items (Belkin and Croft 1992) .  ...  Data-related aspects and the use of Linked Open Data is the focus of the paper Addressing the user cold start with cross-domain collaborative filtering: Exploiting item metadata in matrix factorization  ... 
doi:10.1007/s11257-019-09231-w fatcat:ftunw4mq5vgojifno3yqklfwbq

Ontology-Based Diet Recommendation System

2019 International journal of recent technology and engineering  
Recommender systems are needed to find food items of one's interest. We propose a food personalization framework that assists the user with the actual diet selection process.  ...  The system analyses the user's queries based on their requirements and recommends diet, based on their diseases and deficiencies.  ...  The system follows fig-1 which shows the semantic process. Fig 1-Semantic framework of the system Jena Library is been used to manipulate the knowledge base for getting the results.  ... 
doi:10.35940/ijrte.c5194.098319 fatcat:fw7eyqvp65cd5gkihsy25goh6u

Linked open data to support content-based recommender systems

Tommaso Di Noia, Roberto Mirizzi, Vito Claudio Ostuni, Davide Romito, Markus Zanker
2012 Proceedings of the 8th International Conference on Semantic Systems - I-SEMANTICS '12  
In this paper we show how these data can successfully be used to develop a recommender system (RS) that relies exclusively on the information encoded in the Web of Data.  ...  Thanks to the Semantic Web spread and to the more recent Linked Open Data (LOD) initiative, a vast amount of RDF data have been published in freely accessible datasets.  ...  In this paper we have presented a content-based recommender system that leverages the knowledge encoded in semantic datasets of the Linked Open Data project.  ... 
doi:10.1145/2362499.2362501 dblp:conf/i-semantics/NoiaMORZ12 fatcat:56g2jsvwlbgv3ltduv5biiefr4
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