Pub Date : 2016-10-01DOI: 10.1109/SMAP.2016.7753377
Matej Kloska, Marián Simko
When accessing or manipulating large document corpora, semantics is crucial for enabling machines understand document content and deliver advanced functionality such as recommendation or intelligent search. Manual creation of semantics is a tedious task not sufficiently supported in state-of-the-art tools. In our work we focus on supporting efficient concept map authoring by proposing a set of user interface enhancements aimed to speed up the author's work. We describe the enhancements and thoroughly evaluate our approach in a live user experiment. Experimental results confirm acceleration of concept map authoring and, in addition, reveal the increased quality of produced concept maps when created by our tool.
{"title":"Towards efficient concept map authoring for capturing document semantics","authors":"Matej Kloska, Marián Simko","doi":"10.1109/SMAP.2016.7753377","DOIUrl":"https://doi.org/10.1109/SMAP.2016.7753377","url":null,"abstract":"When accessing or manipulating large document corpora, semantics is crucial for enabling machines understand document content and deliver advanced functionality such as recommendation or intelligent search. Manual creation of semantics is a tedious task not sufficiently supported in state-of-the-art tools. In our work we focus on supporting efficient concept map authoring by proposing a set of user interface enhancements aimed to speed up the author's work. We describe the enhancements and thoroughly evaluate our approach in a live user experiment. Experimental results confirm acceleration of concept map authoring and, in addition, reveal the increased quality of produced concept maps when created by our tool.","PeriodicalId":247696,"journal":{"name":"2016 11th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124214828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-10-01DOI: 10.1109/SMAP.2016.7753392
Dimitrios Pappas, I. Paraskakis
Organizations invest considerable development effort in personalized systems to reap the benefits of knowledge management. Competition and the need for innovation imply in ever-changing and emerging needs that result in costly effort to redesign such systems. A flexible knowledge management approach should achieve personalization for organizations by adapting to the domain of the organization, meanwhile simplifying the incorporation of future knowledge retrieval needs. We describe such an approach that employs a knowledge management platform at its core, which supports adding and removing multiple folksonomies, constantly enriches them with semantics and provides domain-specific recommendations and semantic search capabilities. This approach to knowledge retrieval has been applied to the domain of homemade explosives and counter-terrorism efforts as part of the HOMER project. Preliminary evaluation from the perspective of the end-users - law enforcement, security and related agencies - is presented.
{"title":"Adaptive knowledge retrieval using semantically enriched folksonomies","authors":"Dimitrios Pappas, I. Paraskakis","doi":"10.1109/SMAP.2016.7753392","DOIUrl":"https://doi.org/10.1109/SMAP.2016.7753392","url":null,"abstract":"Organizations invest considerable development effort in personalized systems to reap the benefits of knowledge management. Competition and the need for innovation imply in ever-changing and emerging needs that result in costly effort to redesign such systems. A flexible knowledge management approach should achieve personalization for organizations by adapting to the domain of the organization, meanwhile simplifying the incorporation of future knowledge retrieval needs. We describe such an approach that employs a knowledge management platform at its core, which supports adding and removing multiple folksonomies, constantly enriches them with semantics and provides domain-specific recommendations and semantic search capabilities. This approach to knowledge retrieval has been applied to the domain of homemade explosives and counter-terrorism efforts as part of the HOMER project. Preliminary evaluation from the perspective of the end-users - law enforcement, security and related agencies - is presented.","PeriodicalId":247696,"journal":{"name":"2016 11th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129010339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-10-01DOI: 10.1109/SMAP.2016.7753406
Lazaros Ioannidis, Charalampos Bratsas, Sotiris Karabatakis, Panagiotis-Marios Filippidis, P. Bamidis
OpenSpending is the world's largest repository of open fiscal datasets. As of now it only supported loading datasets from CSV files, leaving out more heavily-structured formats like RDF. Rudolf, an RDF backend has been developed to expose Data Cube RDF triples and OLAP operations in JSON format through an OpenSpending-compatible HTTP API. This API can be directly utilized by the OpenSpending Viewer application to transparently offer aggregate visualizations for RDF fiscal datasets out of the box.
{"title":"Rudolf: An HTTP API for exposing semantically represented fiscal OLAP cubes","authors":"Lazaros Ioannidis, Charalampos Bratsas, Sotiris Karabatakis, Panagiotis-Marios Filippidis, P. Bamidis","doi":"10.1109/SMAP.2016.7753406","DOIUrl":"https://doi.org/10.1109/SMAP.2016.7753406","url":null,"abstract":"OpenSpending is the world's largest repository of open fiscal datasets. As of now it only supported loading datasets from CSV files, leaving out more heavily-structured formats like RDF. Rudolf, an RDF backend has been developed to expose Data Cube RDF triples and OLAP operations in JSON format through an OpenSpending-compatible HTTP API. This API can be directly utilized by the OpenSpending Viewer application to transparently offer aggregate visualizations for RDF fiscal datasets out of the box.","PeriodicalId":247696,"journal":{"name":"2016 11th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134245524","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-10-01DOI: 10.1109/SMAP.2016.7753393
Gerasimos Razis, Ioannis Anagnostopoulos, Petr Šaloun
In this paper, we propose an iterative algorithm towards the automatic labeling of Twitter accounts in respect to thematic categories derived from DBpedia properties. We describe the rationale behind the selection of these thematic categories, and discuss their evaluation assessment. Finally, we propose and analyze two generic and adaptable methodologies for discovering the necessary linked data resources for further enhancing the thematic description of Twitter accounts.
{"title":"Thematic labeling of Twitter accounts using DBpedia properties","authors":"Gerasimos Razis, Ioannis Anagnostopoulos, Petr Šaloun","doi":"10.1109/SMAP.2016.7753393","DOIUrl":"https://doi.org/10.1109/SMAP.2016.7753393","url":null,"abstract":"In this paper, we propose an iterative algorithm towards the automatic labeling of Twitter accounts in respect to thematic categories derived from DBpedia properties. We describe the rationale behind the selection of these thematic categories, and discuss their evaluation assessment. Finally, we propose and analyze two generic and adaptable methodologies for discovering the necessary linked data resources for further enhancing the thematic description of Twitter accounts.","PeriodicalId":247696,"journal":{"name":"2016 11th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116066099","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-10-01DOI: 10.1109/SMAP.2016.7753385
Michalis Korakakis, Phivos Mylonas, E. Spyrou
Tour planning and point-of-interest (POI) recommendation are two challenging and time-consuming tasks for tourists, predominately due to the large number of POIs a travel destination may contain and the complex constraints and parameters associated with the trip itself (e.g., time, budget, etc.). In this paper we present Xenia, a context-aware platform aiming to construct travel routes (i.e., ordered visits to various POIs that maximize the user's travel experience) that adhere to the aforementioned limitations by modeling and solving the tour planning dilemma through the Orienteering Problem (OP). To achieve this, we use geo-tagged photos, collected from Flickr and exploit their metadata (e.g., time-stamps, geolocation and user-generated tags). By utilizing these spatio-temporal data, we are able to identify the trajectory patterns of tourists during their vacations and determine the most popular POIs in any given city, along with the tourists sequential POIs visits and their corresponding durations. Finally, we evaluate the effectiveness of the proposed system against a set of typical baseline approaches.
{"title":"Xenia: A context aware tour recommendation system based on social network metadata information","authors":"Michalis Korakakis, Phivos Mylonas, E. Spyrou","doi":"10.1109/SMAP.2016.7753385","DOIUrl":"https://doi.org/10.1109/SMAP.2016.7753385","url":null,"abstract":"Tour planning and point-of-interest (POI) recommendation are two challenging and time-consuming tasks for tourists, predominately due to the large number of POIs a travel destination may contain and the complex constraints and parameters associated with the trip itself (e.g., time, budget, etc.). In this paper we present Xenia, a context-aware platform aiming to construct travel routes (i.e., ordered visits to various POIs that maximize the user's travel experience) that adhere to the aforementioned limitations by modeling and solving the tour planning dilemma through the Orienteering Problem (OP). To achieve this, we use geo-tagged photos, collected from Flickr and exploit their metadata (e.g., time-stamps, geolocation and user-generated tags). By utilizing these spatio-temporal data, we are able to identify the trajectory patterns of tourists during their vacations and determine the most popular POIs in any given city, along with the tourists sequential POIs visits and their corresponding durations. Finally, we evaluate the effectiveness of the proposed system against a set of typical baseline approaches.","PeriodicalId":247696,"journal":{"name":"2016 11th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP)","volume":"161 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115781695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-10-01DOI: 10.1109/SMAP.2016.7753389
Pierre-Edouard Osche, Sylvain Castagnos, A. Napoli, Y. Naudet
Contrary to many application domains, recommending items within a museum is not only a question of preferences. Of course, the visitors expect suggestions that are likely to interest or please them. However, additional factors should be taken into account. Recent works use the visiting styles [1] or the shortest distance between items [2] to adapt the list of recommendations. But, as far as we know, no model of the literature aims at inferring in real time an holistic user model which includes variables such as the crowd tolerance, the distance tolerance, the expected user control, the fatigue, the congestion points, etc. As a work-in-progress, we propose a new representation model which includes psychological, physical and social variables so as to increase user satisfaction and enjoyment. We show how we can infer these characteristics from the user observations (geolocalization over time, moving speed, ...) and we discuss how we can use them jointly for a sequence recommendation purpose. This work is still in an early stage of development and remains more theoretical than experimental.
{"title":"Walk the line: Toward an efficient user model for recommendations in museums","authors":"Pierre-Edouard Osche, Sylvain Castagnos, A. Napoli, Y. Naudet","doi":"10.1109/SMAP.2016.7753389","DOIUrl":"https://doi.org/10.1109/SMAP.2016.7753389","url":null,"abstract":"Contrary to many application domains, recommending items within a museum is not only a question of preferences. Of course, the visitors expect suggestions that are likely to interest or please them. However, additional factors should be taken into account. Recent works use the visiting styles [1] or the shortest distance between items [2] to adapt the list of recommendations. But, as far as we know, no model of the literature aims at inferring in real time an holistic user model which includes variables such as the crowd tolerance, the distance tolerance, the expected user control, the fatigue, the congestion points, etc. As a work-in-progress, we propose a new representation model which includes psychological, physical and social variables so as to increase user satisfaction and enjoyment. We show how we can infer these characteristics from the user observations (geolocalization over time, moving speed, ...) and we discuss how we can use them jointly for a sequence recommendation purpose. This work is still in an early stage of development and remains more theoretical than experimental.","PeriodicalId":247696,"journal":{"name":"2016 11th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121120718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-10-01DOI: 10.1109/SMAP.2016.7753391
Andreas Tsirtsis, N. Tsapatsoulis, M. Stamatelatos, Kostantinos Papadamou, Michael Sirivianos
The explosion of the Internet provides a variety possibilities for communication, finding information and many other activities, turning into an essential tool in our modern everyday life. However, its huge expansion globally has created some serious safety issues, which require a special approach. One of these issues and perhaps the most important one concerns the safety of children on the Internet, as they are more exposed to dangers and threats in comparison with adults. In order to design effective measures against these threats and dangers deep understanding of minors' activities on the Internet, along with their motivation, is a first necessary step. It is shown in this report that minors' Internet activity tends heavily, and in an increasing manner, towards Online Social Networks (OSN). Thus, Internet filtering techniques designed and applied so far for child online protection need to be reconsidered and redesigned in a smarter way such as data analytics, advanced content analysis and data mining techniques are incorporated. OSN fake account identification, sexual content detection and flagging of multiple OSN accounts of the same person are examples that require such sophisticated techniques. This study deals with a literature review concerning the Internet activity and motivation of use by minors and presents in a coherent manner the identified risks and threats that children using the web and online social networks are exposed to. It also presents a systematic process for designing and developing modern and state of the art techniques to prevent minors' exposure to those risks and dangers.
{"title":"Cyber security risks for minors: A taxonomy and a software architecture","authors":"Andreas Tsirtsis, N. Tsapatsoulis, M. Stamatelatos, Kostantinos Papadamou, Michael Sirivianos","doi":"10.1109/SMAP.2016.7753391","DOIUrl":"https://doi.org/10.1109/SMAP.2016.7753391","url":null,"abstract":"The explosion of the Internet provides a variety possibilities for communication, finding information and many other activities, turning into an essential tool in our modern everyday life. However, its huge expansion globally has created some serious safety issues, which require a special approach. One of these issues and perhaps the most important one concerns the safety of children on the Internet, as they are more exposed to dangers and threats in comparison with adults. In order to design effective measures against these threats and dangers deep understanding of minors' activities on the Internet, along with their motivation, is a first necessary step. It is shown in this report that minors' Internet activity tends heavily, and in an increasing manner, towards Online Social Networks (OSN). Thus, Internet filtering techniques designed and applied so far for child online protection need to be reconsidered and redesigned in a smarter way such as data analytics, advanced content analysis and data mining techniques are incorporated. OSN fake account identification, sexual content detection and flagging of multiple OSN accounts of the same person are examples that require such sophisticated techniques. This study deals with a literature review concerning the Internet activity and motivation of use by minors and presents in a coherent manner the identified risks and threats that children using the web and online social networks are exposed to. It also presents a systematic process for designing and developing modern and state of the art techniques to prevent minors' exposure to those risks and dangers.","PeriodicalId":247696,"journal":{"name":"2016 11th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP)","volume":"PP 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126445884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-10-01DOI: 10.1109/SMAP.2016.7753395
Yiannis Sifakis, S. Christodoulakis, Nektarios Moumoutzis
The presentation of spatiotemporal processes is a recurring theme in learning. Such processes are part of the standard curricula in subjects like geography, history, environmental education etc., as well as in professional learning tools like serious games. Learners face several difficulties in studying learning topics without strong spatiotemporal process visualization and explanation support. This paper presents an approach to tackle these problems by providing a spatiotemporal process modeling, visualization and explanation platform on top of Google Earth. The platform is based on a generic conceptual model that adapts to various types of spatiotemporal processes and enables learners to make rich inquiries in a playful manner that resembles their experiences with digital games.
{"title":"ViSTPro: A platform for visualization of spatiotemporal processes on Google Earth","authors":"Yiannis Sifakis, S. Christodoulakis, Nektarios Moumoutzis","doi":"10.1109/SMAP.2016.7753395","DOIUrl":"https://doi.org/10.1109/SMAP.2016.7753395","url":null,"abstract":"The presentation of spatiotemporal processes is a recurring theme in learning. Such processes are part of the standard curricula in subjects like geography, history, environmental education etc., as well as in professional learning tools like serious games. Learners face several difficulties in studying learning topics without strong spatiotemporal process visualization and explanation support. This paper presents an approach to tackle these problems by providing a spatiotemporal process modeling, visualization and explanation platform on top of Google Earth. The platform is based on a generic conceptual model that adapts to various types of spatiotemporal processes and enables learners to make rich inquiries in a playful manner that resembles their experiences with digital games.","PeriodicalId":247696,"journal":{"name":"2016 11th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134291777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-10-01DOI: 10.1109/SMAP.2016.7753398
D. Anastasiadou, Petros Lameras
This paper investigates the development of a classification of features inherent in the design and development of Location Based Experiences (LBEs) with a special focus on games for teaching and learning. The paper aims to identify and associate learning features, such as feedback, activities, outcomes and assessment with location-driven mechanics, such as location-based activities, entities, conditions and actions that constitute the overarching elements of a proprietary location-based games authoring tool. We anticipate that this will pave the way for developing a model taxonomy that may be utilised to support and optimise future end-user profiles for serious game creation, games design for informal learning paths in science museums, science centres and field trips, learning methodologies development and metadata creation. The classification draws on the findings of a tailored approach applied to design and develop an authoring environment, the MAGELLAN platform, for creating location-based games and mobile location-driven scenarios directly influenced by end-user requirements and evaluation of trainee's feedback. Ultimately, the classification is conceived as part of a broader framework that defines and enables the creation of location-driven games by associating them with learning elements, through visualised design for expert and non-expert users as potential game authors. In an iterative process, the MAGELLAN Authoring Tool and subsequent user training and piloting process is featured as a test-bed, where the proposed taxonomy will be applied and evaluated.
{"title":"Identifying and classifying learning entities for designing location-based serious games","authors":"D. Anastasiadou, Petros Lameras","doi":"10.1109/SMAP.2016.7753398","DOIUrl":"https://doi.org/10.1109/SMAP.2016.7753398","url":null,"abstract":"This paper investigates the development of a classification of features inherent in the design and development of Location Based Experiences (LBEs) with a special focus on games for teaching and learning. The paper aims to identify and associate learning features, such as feedback, activities, outcomes and assessment with location-driven mechanics, such as location-based activities, entities, conditions and actions that constitute the overarching elements of a proprietary location-based games authoring tool. We anticipate that this will pave the way for developing a model taxonomy that may be utilised to support and optimise future end-user profiles for serious game creation, games design for informal learning paths in science museums, science centres and field trips, learning methodologies development and metadata creation. The classification draws on the findings of a tailored approach applied to design and develop an authoring environment, the MAGELLAN platform, for creating location-based games and mobile location-driven scenarios directly influenced by end-user requirements and evaluation of trainee's feedback. Ultimately, the classification is conceived as part of a broader framework that defines and enables the creation of location-driven games by associating them with learning elements, through visualised design for expert and non-expert users as potential game authors. In an iterative process, the MAGELLAN Authoring Tool and subsequent user training and piloting process is featured as a test-bed, where the proposed taxonomy will be applied and evaluated.","PeriodicalId":247696,"journal":{"name":"2016 11th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP)","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132287635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-10-01DOI: 10.1109/SMAP.2016.7753403
Sotirios Karampatakis, Charalampos Bratsas, Ioannis Antoniou
We describe the Public Library of Veroia dataset. This dataset was created by transforming the bibliographic records of the Public Library of Veroia catalogue into Linked Open Data. We present the data model that is used, consisting of a mix of well-established vocabularies such as BIBO, RDA, DC, FOAF between others. We developed a new tool for the transformation process which implies simple configuration for the end user and rich data extraction. Silk Link Discovery Framework was used to make connections with other datasets like DBpedia. Finally, we developed a new service for author profiling using enriched information gathered from the Linked Open Data Cloud.
{"title":"Library Linked Data: The case of Public Library of Veroia","authors":"Sotirios Karampatakis, Charalampos Bratsas, Ioannis Antoniou","doi":"10.1109/SMAP.2016.7753403","DOIUrl":"https://doi.org/10.1109/SMAP.2016.7753403","url":null,"abstract":"We describe the Public Library of Veroia dataset. This dataset was created by transforming the bibliographic records of the Public Library of Veroia catalogue into Linked Open Data. We present the data model that is used, consisting of a mix of well-established vocabularies such as BIBO, RDA, DC, FOAF between others. We developed a new tool for the transformation process which implies simple configuration for the end user and rich data extraction. Silk Link Discovery Framework was used to make connections with other datasets like DBpedia. Finally, we developed a new service for author profiling using enriched information gathered from the Linked Open Data Cloud.","PeriodicalId":247696,"journal":{"name":"2016 11th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124598957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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