Mobile Movie Recommendations with Linked Data

Ostuni, Vito Claudio; Gentile, Giosia; Noia, Tommaso Di; Mirizzi, Roberto; Romito, Davide; Sciascio, Eugenio Di

doi:10.1007/978-3-642-40511-2_29

Cited by 27 publications

(16 citation statements)

References 25 publications

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“…Ostuni et al [16] present a mobile movie recommendation system based on Linked Data named Cinemappy which is developed for Android-based mobile devices. All information related to movies such as genres, actors, directors, etc.…”

Section: Related Workmentioning

confidence: 99%

Natural Language Question Answering System Over Linked Data

Kabakuş

Çetin

2019

Eskişehir Technical University Journal of Science and Technology a - Applied Sciences and Engineering

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Linked Data project is aimed to give more details on any subject through the big knowledge bases defined on the web. In this context, knowledge bases offer endpoint service user interfaces to query their data. Because of the SPARQL query language limitation of these knowledge bases, a significant number of web users are unable to benefit from these services. In this paper, an English natural language question answering system over Linked Data is proposed in order to eliminate this limitation. The proposed system's main processes can be listed as follows: (1) Extracting Part-Of-Speech (POS) tags, (2) pattern extraction & preparing appropriate SPARQL queries, (3) executing user queries & displaying the results. The features which are not provided by the endpoint services of knowledge bases such as dynamic paging, voice search and answer vocalization which make the usage of the proposed system to be possible by the visually-impaired web users, question-answer caching, social media integration, and live spell checking are proposed. According to experimental results, the proposed system's question answering performance is improved between 2 and 12 times through the type of natural language question thanks to the question-answer caching mechanism.

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Section: Related Workmentioning

confidence: 99%

Natural Language Question Answering System Over Linked Data

Kabakuş

Çetin

2019

Eskişehir Technical University Journal of Science and Technology a - Applied Sciences and Engineering

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“…More recently, two hybrid approaches have been presented: in [15] it is shown how to compute top-N recommendations from implicit feedback using linked data sources and in [10] the authors propose an event recommendation system based on linked data and user diversity. In [16] a mobile RS that uses DBpedia as the core for the recommendation is presented. Graph kernels.…”

Section: Related Workmentioning

confidence: 99%

A Linked Data Recommender System Using a Neighborhood-Based Graph Kernel

Ostuni

Noia

Mirizzi

et al. 2014

Lecture Notes in Business Information Processing

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Abstract. The ultimate mission of a Recommender System (RS) is to help users discover items they might be interested in. In order to be really useful for the end-user, Content-based (CB) RSs need both to harvest as much information as possible about such items and to effectively handle it. The boom of Linked Open Data (LOD) datasets with their huge amount of semantically interrelated data is thus a great opportunity for boosting CB-RSs. In this paper we present a CB-RS that leverages LOD and profits from a neighborhood-based graph kernel. The proposed kernel is able to compute semantic item similarities by matching their local neighborhood graphs. Experimental evaluation on the MovieLens dataset shows that the proposed approach outperforms in terms of accuracy and novelty other competitive approaches.

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“…Single Point of Entry Interface [15], [44], [49], [58], [54], Faceted Browsing [15], [6], Inline Resource Editing [15], [6] Customizability Living UIs [45], Providing Device-dependent UIs [49], [6], [58], [54], [5], [33], Supporting Multiple Data Sources [15], [52], [51]…”

Section: Usabilitymentioning

confidence: 99%

“…Since most of the current approaches and applications are developed for smartphones (e.g. [49], [54], [58], [5], [33]), these quality attributes will be especially important for new and upcoming ubiquitous devices such as application-enabled smart TVs, gaming consoles, wearable computers, etc. UbiSA development for tablet computers that are also gaining popularity and predicted to outnumber PCs in the next few years can also benefit from defined quality attributes.…”

Section: Introductionmentioning

confidence: 99%

Ubiquitous Semantic Applications

Ermilov

Khalili

Auer

2014

International Journal on Semantic Web and Information Systems

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Recently practical approaches for development of ubiquitous semantic applications have made quite some progress. In particular in the area of the ubiquitous access to the semantic data the authors recently observed a large number of approaches, systems and applications being described in the literature. With this survey the authors aim to provide an overview on the rapidly emerging field of Ubiquitous Semantic Applications (UbiSA). The authors conducted a systematic literature review comprising a thorough analysis of 48 primary studies out of 172 initially retrieved papers. The authors obtained a comprehensive set of quality attributes for UbiSA together with corresponding application features suggested for their realization. The quality attributes include aspects such as mobility, usability, heterogeneity, collaboration, customizability and evolvability. The primary studies were surveyed in the light of these quality attributes and the authors performed a thorough analysis of five ubiquitous semantic applications, six frameworks for UbiSA, three UbiSA specific ontologies, five ubiquitous semantic systems and nine general approaches. The proposed quality attributes facilitate the evaluation of existing approaches and the development of novel, more effective and intuitive UbiSA.

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Mobile Movie Recommendations with Linked Data

Cited by 27 publications

References 25 publications

Natural Language Question Answering System Over Linked Data

Natural Language Question Answering System Over Linked Data

A Linked Data Recommender System Using a Neighborhood-Based Graph Kernel

Ubiquitous Semantic Applications

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