TY - JOUR A1 - De Luca, Ernesto William A1 - Dahlberg, Ingetraut T1 - Die Multilingual Lexical Linked Data Cloud : eine mögliche Zugangsoptimierung JF - Information Wissenschaft & Praxis KW - Wissensrepräsentation KW - Semantisches Netz KW - Datenverknüpfung KW - Konkordanz KW - Klassifikation Y1 - 2014 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:525-7629 SN - 1434-4653 VL - 65 IS - 4/5 SP - 279 EP - 287 PB - De Gruyter CY - Berlin ER - TY - CHAP A1 - De Luca, Ernesto William T1 - SemRes BT - A System for Creating and Searching Semantic Documentation for Conservators T2 - Lernen, Wissen, Daten, Analysen (LWDA) Conference Proceedings N2 - Documentation is very time consuming; conservators have to categorize photos, give detailed description of the procedures and justify decisions about materials. Every conservator delivers his/her own documentation to the respective monument administrations that archive it in their shelves, without any possibility to access them digitally. In this case, the access to already conducted procedures, as well as the provision of the knowledge about the methods and materials used are very difficult often almost impossible. The SemRes System provides conservators with semantic technologies in order to better structure and retrieve their knowledge and supports them in decision-making for conservation and conservation procedures. KW - Information Retrieval KW - Linked Data KW - Open Data KW - Digital Humanities Y1 - 2016 UR - http://ceur-ws.org/Vol-1670/paper-57.pdf SN - 1613-0073 SP - 247 EP - 248 PB - RWTH CY - Aachen ER - TY - JOUR A1 - De Luca, Ernesto William T1 - Extending the Linked Data Cloud with Multilingual Lexical Linked Data JF - Knowledge Organization N2 - A lot of information that is already available on the Web, or retrieved from local information sys-tems and social networks, is structured in data silos that are not semantically related. Semantic technologies make it apparent that the use of typed links that directly express their relations are an advantage for every application that can reuse the incorporated knowledge about the data. For this reason, data integration, through reengineering (e.g., triplify) or querying (e.g., D2R), is an important task in order to make information available for everyone. Thus, in order to build a semantic map of the data, we need knowledge about data items itself and the relation between heterogeneous data items. Here we present our work of providing Lexical Linked Data (LLD) through a meta-model that contains all the resources and gives the possibility to retrieve and navigate them from different per-spectives. After giving the definition of Lexical Linked Data, we describe the existing datasets we collected and the new datasets we included. Here we describe their format and show some use cases where we link lexical data, and show how to reuse and inference semantic data de-rived from lexical data. Different lexical resources (MultiWordNet, EuroWordNet, MEMODATA Lexicon, the Hamburg Methaphor Data-base) are connected to each other towards an Integrated Vocabulary for LLD that we evaluate and present. KW - Lexical Linked Data KW - Linked Data KW - Datenintegration KW - Semantisches Netz KW - Datenstruktur Y1 - 2013 U6 - https://doi.org/10.5771/0943-7444-2013-5-320 SN - 0943-7444 VL - 40 IS - 5 SP - 320 EP - 331 PB - Ergon-Verlag CY - Würzburg ER - TY - CHAP A1 - Adomavicius, Gediminas A1 - Baltrunas, Linas A1 - De Luca, Ernesto William A1 - Hussein, Tim A1 - Tuzhilin, Alexander T1 - 4th workshop on context-aware recommender systems (CARS 2012) T2 - RecSys '12 : Proceedings of the sixth ACM conference on Recommender systems N2 - CARS 2012 builds upon the success of the three previous editions held in conjunction with the 3rd to 5th ACM Conferences on Recommender Systems from 2009 to 2011. The 1st CARS Workshop was held in New York, NY, USA, whereas Barcelona, Spain, was home of the 2nd CARS Workshop in 2010. In 2011, the 3rd CARS workshop was held in Chicago, IL, USA. KW - Empfehlungssystem KW - Kontextbezogenes System KW - Kontext KW - Information retrieval Y1 - 2012 SN - 978-1-4503-1270-7 U6 - https://doi.org/10.1145/2365952.2366041 SP - 349 EP - 350 PB - Association for Computing Machinery CY - New York ER - TY - CHAP A1 - De Luca, Ernesto William T1 - Is it Useful to Support Users with Lexical Resources? BT - A User Study T2 - Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12) N2 - Current search engines are used for retrieving relevant documents from the huge amount of data available and have become an essential tool for the majority of Web users. Standard search engines do not consider semantic information that can help in recognizing the relevance of a document with respect to the meaning of a query. In this paper, we present our system architecture and a first user study, where we show that the use of semantics can help users in finding relevant information, filtering it ad facilitating quicker access to data. KW - Information Retrieval KW - Elektronische Enzyklopädie KW - Semantik KW - Benutzerforschung Y1 - 2012 UR - http://www.lrec-conf.org/proceedings/lrec2012/pdf/502_Paper.pdf SN - 978-2-9517408-7-7 SN - 2522-2686 SP - 3184 EP - 3189 ER - TY - CHAP A1 - De Luca, Ernesto William A1 - Said, Alan A1 - Crestani, Fabio A1 - Elsweiler, David T1 - 5th Workshop on Context-Awareness in Retrieval and Recommendation T2 - Advances in Information Retrieval : 37th European Conference on IR Research, ECIR 2015, Vienna, Austria, March 29 - April 2, 2015. Proceedings N2 - Context-aware information is widely available in various ways and is becoming more and more important for enhancing retrieval performance and recommendation results. A primary challenge is not only recommending or retrieving the most relevant items and content, but defining them ad hoc. Other relevant issues include personalizing and adapting the information and the way it is displayed to the user’s current situation and interests. Ubiquitous computing provides new means for capturing user feedback on items and offers information. This year we are particularly interested in contributions investigating how context can influence decision making in contexts such as health, finance, food, education etc. and how systems can exploit context to assert positive behavioral change. KW - Information Retrieval KW - Empfehlungssystem KW - Kontext KW - Ubiquitous computing Y1 - 2015 SN - 978-3-319-16354-3 U6 - https://doi.org/10.1007/978-3-319-16354-3_96 SN - 1611-3349 SP - 830 EP - 833 PB - Springer CY - Cham ER - TY - CHAP A1 - Scheel, Christian A1 - Castellanos, Angel A1 - Lee, Therbin A1 - De Luca, Ernesto William T1 - The Reason Why BT - A Survey of Explanations for Recommender Systems T2 - Adaptive Multimedia Retrieval : Semantics, Context, and Adaptation N2 - Recommender Systems refer to those applications that offer contents or items to the users, based on their previous activity. These systems are broadly used in several fields and applications, being common that an user interact with several recommender systems during his daily activities. However, most of these systems are black boxes which users really don’t understand how to work. This lack of transparency often causes the distrust of the users. A suitable solution is to offer explanations to the user about why the system is offering such recommendations. This work deals with the problem of retrieving and evaluating explanations based on hybrid recommenders. These explanations are meant to improve the perceived recommendation quality from the user’s perspective. Along with recommended items, explanations are presented to the user to underline the quality of the recommendation. Hybrid recommenders should express relevance by providing reasons speaking for a recommended item. In this work we present an attribute explanation retrieval approach to provide these reasons and show how to evaluate such approaches. Therefore, we set up an online user study where users were asked to provide movie feedback. For each rated movie we additionally retrieved feedback about the reasons this movie was liked or disliked. With this data, explanation retrieval can be studied in general, but it can also be used to evaluate such explanations. KW - Empfehlungssystem KW - Erklärung KW - Evaluation KW - Beeinflussung KW - Bedürfnisbefriedigung KW - Entscheidungsunterstützung Y1 - 2014 SN - 978-3-319-12093-5 U6 - https://doi.org/10.1007/978-3-319-12093-5_3 SN - 1611-3349 SP - 67 EP - 84 PB - Springer CY - Cham ER - TY - CHAP A1 - Said, Alan A1 - De Luca, Ernesto William A1 - Quercia, Daniele T1 - Report on the 4th Workshop on Context-awareness in Retrieval and Recommendation (CaRR 2014) T2 - ACM SIGIR Forum N2 - Context-aware information is widely available in various ways and is becoming more and more important for enhancing retrieval performance and recommendation results. The current main issue to cope with is not only recommending or retrieving the most relevant items and content, but defining them ad hoc. Other relevant issues include personalizing and adapting the information and the way it is displayed to the user's current situation and interests. The workshop on Context-awareness in Retrieval and Recommendation is a forum for research on context-awareness in information retrieval, recommender systems and human computer interaction. The fourth iteration of the workshop was organized in conjunction to the 36th European Conference on Information Retrieval in Amsterdam, The Netherlands. KW - Information Retrieval KW - Empfehlungssystem Y1 - 2014 U6 - https://doi.org/10.1145/2701583.2701595 SN - 0163-5840 VL - 48 IS - 2 SP - 89 EP - 92 PB - Association for Computing Machinery CY - New York ER - TY - CHAP A1 - Said, Alan A1 - De Luca, Ernesto William A1 - Quercia, Daniele A1 - Böhmer, Matthias T1 - 4th Workshop on Context-Awareness in Retrieval and Recommendation T2 - Advances in Information Retrieval N2 - Context-aware information is widely available in various ways and is becoming more and more important for enhancing retrieval performance and recommendation results. The current main issue to cope with is not only recommending or retrieving the most relevant items and content, but defining them ad hoc. Other relevant issues include personalizing and adapting the information and the way it is displayed to the user’s current situation and interests. Ubiquitous computing further provides new means for capturing user feedback on items and providing information. KW - Information Retrieval KW - Empfehlungssystem KW - Ubiquitous Computing Y1 - 2014 SN - 978-3-319-06028-6 U6 - https://doi.org/10.1007/978-3-319-06028-6_100 SN - 1611-3349 SP - 802 EP - 805 PB - Springer CY - Cham ER - TY - CHAP A1 - Böhmer, Matthias A1 - De Luca, Ernesto William A1 - Said, Alan A1 - Teevan, Jamie T1 - 3rd workshop on context-awareness in retrieval and recommendation T2 - WSDM '13 : Proceedings of the sixth ACM international conference on Web search and data mining N2 - Context-aware information is widely available in various ways and is becoming more and more important for enhancing retrieval performance and recommendation results. The current main issue to cope with is not only recommending or retrieving the most relevant items and content, but defining them ad hoc. Other relevant issues include personalizing and adapting the information and the way it is displayed to the user's current situation and interests. Ubiquitous computing further provides new means for capturing user feedback on items and providing information. KW - Information Retrieval KW - Empfehlungssystem KW - Ubiquitous Computing Y1 - 2013 SN - 978-1-4503-1869-3 U6 - https://doi.org/10.1145/2433396.2433504 SP - 798 EP - 790 PB - Association for Computing Machinery CY - New York ER - TY - CHAP A1 - Plumbaum, Till A1 - De Luca, Ernesto William A1 - Gangemi, Aldo A1 - Hausenblas, Michael T1 - Workshop on semantic personalized information management (SPIM'13) T2 - WSDM '13 : Proceedings of the sixth ACM international conference on Web search and data mining N2 - The SPIM workshop focuses especially on people that are working on the social or semantic Web, machine learning, user modeling, recommender systems, information retrieval, semantic interaction, or their combination. The goal is to bring together researchers and practitioners to initiating discussions on the different requirements and challenges coming with the social and semantic Web for personalized information retrieval systems. The workshop aims at improving the exchange of ideas between the different research communities and practitioners involved in the research on semantic personalized information management. KW - Semantic Web KW - Soziale Software KW - Information Retrieval Y1 - 2013 SN - 978-1-4503-1869-3 U6 - https://doi.org/10.1145/2433396.2433506 SP - 793 EP - 794 PB - Association for Computing Machinery CY - New York ER -