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Publishing Historical Texts on the Semantic Web - A Case Study

Eeva Ahonen, Eero Hyvonen
2009 2009 IEEE International Conference on Semantic Computing  
As a case study, an existing historical newspaper archive on the web is considered. In our model, semantic metadata is added to the text using automated concept extraction methods.  ...  collection of historical newspapers.  ...  In [5] an automated method of named entity recognition in a historical newspaper archive is presented.  ... 
doi:10.1109/icsc.2009.9 dblp:conf/semco/AhonenH09 fatcat:vbijxmcl5rfhpnrdtpo3utrhr4

Personalized Financial News Recommendation Algorithm Based on Ontology

Rui Ren, Lingling Zhang, Limeng Cui, Bo Deng, Yong Shi
2015 Procedia Computer Science  
To settle the ambiguity problem, a new presented OF-IDF method is employed to represent the unstructured text data in the form of key concepts, synonyms and synsets which are all stored in the domain ontology  ...  For users, the recommendation algorithm build the profiles based on their behaviors to detect the genuine interests and predict current interests automatically and in real time by applying the thinking  ...  Acknowledgements The authors are very grateful to National Natural Science Foundation of China (Grant No. 71471161, 71071151, 71331005, 71110107026) for research support.  ... 
doi:10.1016/j.procs.2015.07.151 fatcat:6g3qzreom5gqbdlf6su7n4lc7q

Semantic web HCI

Duane Degler, Scott Henninger, Lisa Battle
2007 CHI '07 extended abstracts on Human factors in computing systems - CHI '07  
The Know The Know--ability of the Web: Human ability of the Web: Human  ...  Goals Goals For this session For this session  Start a conversation • User interaction enhanced by semantic technologies • Semantic Web designs informed by HCI methods  Capture discussion for upcoming  ...  Content Curators User Interaction Discussion Topics User Interaction Discussion Topics Ontology Creation and Editing Ontology Creation and Editing Patients Patients End Users Write a review of a  ... 
doi:10.1145/1240866.1240921 dblp:conf/chi/DeglerHB07 fatcat:sg76ah2hxvafnp6jhjbqsrutne

Computing Query Sets for Better Exploring Raw Data Collections

Genoveva Vargas-Solar, Jose-Luis Zechinelli-Martini, Javier-Alfonso Espinosa-Oviedo
2018 2018 13th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP)  
This paper proposes an approach for helping data scientists express queries that can help them understand the content of raw data collections.  ...  The proposal is based on query rewriting techniques that given an initial query they can provide sets of queries that can help data scientists to better exploit data collections.  ...  Besides, we thank master student Estela Zamora Martínez of the Universidad de Guadalajara who is currently implementing a query recommendation service based on rewriting techniques funded by the CONACYT  ... 
doi:10.1109/smap.2018.8501871 dblp:conf/smap/Vargas-SolarZE18 fatcat:kc6tjcywyrcndd5innw44uh73u

A Comprehensive Survey of Knowledge Graph-Based Recommender Systems: Technologies, Development, and Contributions

Janneth Chicaiza, Priscila Valdiviezo-Diaz
2021 Information  
In summary, the contributions of this paper are as follows: (1) we explore traditional and more recent developments of filtering methods for a recommender system, (2) we identify and analyze proposals  ...  As the main survey result, we found that the use of knowledge graphs for recommendations is an efficient way to leverage and connect a user's and an item's knowledge, thus providing more precise results  ...  An advantage of demographic filtering is that it does not require user ratings of items that are necessary for content-based and collaborative filtering approaches.  ... 
doi:10.3390/info12060232 fatcat:idwc2gu5zbcpfoqg3o2cfhtgo4

News Recommender Based on Rich Feedback [chapter]

Liliana Ardissono, Giovanna Petrone, Francesco Vigliaturo
2015 Lecture Notes in Computer Science  
Moreover it presents a hybrid news recommender which suggest news items on the basis of the reader's short and long-term reading history, taking reading trends and short-term interests into account.  ...  The experimental results we carried out provided encouraging results about the accuracy of the recommendations.  ...  recommenders: a collaborative filtering one, a short-time content-based one, a long-term content-based one and a popularity-based one.  ... 
doi:10.1007/978-3-319-20267-9_27 fatcat:6t4ct5piorhs7myg5nrhecpohy

Learning to Rank for Personalized News Article Retrieval

Lorand Dali, Blaz Fortuna, Jan Rupnik
2010 Journal of machine learning research  
This paper aims to tackle the very interesting and important problem of user personalized ranking of search results.  ...  The focus is on news retrieval and the data from which the ranking model is learned was provided by a large online newspaper.  ...  In the evaluation we compared the personalized ranking model with purely content based ranking models such as BM25 and the vector space model.  ... 
dblp:journals/jmlr/DaliFR10 fatcat:obwycnrvnbht5j7mfz6ogmax5u

Personalized Faceted Navigation in Semantically Enriched Information Spaces [chapter]

Michal Tvaro_ek, Mária Bieliková
2009 Advances in Semantic Media Adaptation and Personalization, Volume 2  
Furthermore, we propose the extension of faceted browsers with support for dynamic facet generation based on an automatically acquired user model, and evaluate the proposed ideas in multiple domains -scientific  ...  We explore the possibilities of using enhanced faceted navigation with support for personalization, collaboration and Semantic Web technologies for (semantic) information retrieval.  ...  Personalized Faceted Navigation Overview We propose a method for personalized faceted navigation using an enhanced faceted browser, which takes advantage of Semantic Web techniques for ontological knowledge  ... 
doi:10.1201/9781420076653-c9 fatcat:szix7bxkzndvvoucatrrxxcaj4

Named entity evolution recognition on the Blogosphere

Helge Holzmann, Nina Tahmasebi, Thomas Risse
2014 International Journal on Digital Libraries  
In this paper we discuss the limitations of existing methodology for NEER. We approach these by adapting an existing NEER method to work on noisy data like the Web and the Blogosphere in particular.  ...  We develop novel filters that reduce the noise and make use of Semantic Web resources to obtain more information about terms. Our evaluation shows the potentials of the proposed approach.  ...  Semantic Filtering Approach Semantic Filtering is a novel a-posteriori filtering method for NEER incorporating the Semantic Web.  ... 
doi:10.1007/s00799-014-0135-x fatcat:hitm7l37h5bk5kxxkukuawpjwa

Spatiotemporal Keyword Query Suggestion Based On Document Proximity and K-Means Method– A Review

Aju Tom Kuriakose, Sobhana N.V
2017 IJARCCE  
The K-Means method used for retrieving the highest ranked top k objects near to the current location of the user and Time aware query suggestion brings out the most relevant documents based on the temporal  ...  The commercial web search engines are looking for the efficient keyword suggestions methods for retrieving the relevant information.  ...  Zhao Lu et al. proposed an Ontology-based approach for Personal Name Disambiguation (named "OnPerDis") [24] .  ... 
doi:10.17148/ijarcce.2017.63157 fatcat:v7a3huyozzfh7hizniut5wuhiy

Automatic news recommendations via aggregated profiling

Erik Mannens, Sam Coppens, Toon De Pessemier, Hendrik Dacquin, Davy Van Deursen, Robbie De Sutter, Rik Van de Walle
2011 Multimedia tools and applications  
The recommendations -based on a global, aggregated profile, which also takes into account the (dis)likings of peer friends -are finally fed to the user via a personalised RSS feed.  ...  In this paper, we show how personalised recommendation and distribution of news events, described using an RDF/OWL representation of the NewsML-G2 standard, can be enabled by automatically categorising  ...  Acknowledgements The research activities as described in this paper were funded by Ghent University, the Interdisciplinary Institute for Broadband Technology (IBBT), the Institute for the Promotion of  ... 
doi:10.1007/s11042-011-0844-8 fatcat:bfo52776hffcfm5fc2t5has4qm

Spam Email Classification using an Adaptive Ontology

Seongwook Youn, Dennis McLeod
2007 Journal of Software  
Hence the ontology would be customized for the user. This paper proposes to find an efficient spam email filtering method using adaptive ontology  ...  As spammers always try to find a way to evade existing filters, new filters need to be developed to catch spam. Ontologies allow for machine-understandable semantics of data.  ...  into content-based learning methods [38]  ... 
doi:10.4304/jsw.2.3.43-55 fatcat:xyban7golffhpfblbbbnqmc47q

Collaborative recommendations with content-based filters for cultural activities via a scalable event distribution platform

Toon De Pessemier, Sam Coppens, Kristof Geebelen, Chris Vleugels, Stijn Bannier, Erik Mannens, Kris Vanhecke, Luc Martens
2011 Multimedia tools and applications  
This metadata model enables additional content-based filters, which consider event-specific characteristics, on the recommendation list.  ...  Whereas traditional filtering tools enable e.g. the use of keyword-based or filtered searches, innovative recommender systems draw on user ratings, preferences, and Present address: of T.  ...  Leuven, VUB, VRT-medialab, Interdisciplinary Institute for Broadband Technology (IBBT) through the CUPID project (50% co-funded by industrial partners), the Institute for the Promotion of Innovation by  ... 
doi:10.1007/s11042-010-0715-8 fatcat:5bszjo4bnjfjthmb5zizf3hti4

Achieving Content-User Synergy in MPEG-7

Harry Agius, Marios C. Angelides
2007 Second International Workshop on Semantic Media Adaptation and Personalization (SMAP 2007)  
Furthermore, we propose a method of faceted browser adaptation with support for dynamic facet generation based on an automatically acquired user model.  ...  We describe the possibilities of using enhanced faceted navigation with support for personalization, collaboration and Semantic Web technologies for multimedia information retrieval.  ...  Since the proposed method relies heavily on user characteristics stored in a user model, we evaluated the adaptive faceted browser Factic [14] as part of the personalized presentation layer proposed  ... 
doi:10.1109/smap.2007.33 dblp:conf/smap/AgiusA07 fatcat:deerd67ndbclzo7xcmpvs3uhwu

An Enhanced Semantic Layer for Hybrid Recommender Systems

Iván Cantador, Pablo Castells, Alejandro Bellogín
2011 International Journal on Semantic Web and Information Systems (IJSWIS)  
As a proof of concept and evaluation testbed, the approach is evaluated through its implementation in a news recommender system, in which it is tested with real users.  ...  We propose a three-fold knowledge representation, in which an explicit, semantic-rich domain knowledge space is incorporated between user and item spaces.  ...  Based on this representation approach, and utilising the ontology hierarchy, the authors present a content-based method for filtering items for a given user.  ... 
doi:10.4018/jswis.2011010103 fatcat:q7nptioe6zawzi7de7dj3dezcm
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