Search results for "Semantic computing"
showing 10 items of 35 documents
Automatic Integration of Spatial Data into the Semantic Web
2017
International audience
Adding semantics to cloud computing to enhance service discovery and access
2012
Cloud computing is a technological paradigm that permits to offer computing services over the Internet. This new service model is closely related to previous, well-known distributed computing initiatives such as Web services and grid computing. In the current socio-economic climate, the affordability of cloud computing has gained it popularity among today's innovations. Under these circumstances, more and more cloud services become available. Consequently, it is becoming more and more difficult for service consumers to find and access those cloud services that fulfill their requirements. In this work, a cloud computing ontology is proposed that facilitates a semantic identification, discove…
Creating a semantically-enhanced cloud services environment through ontology evolution
2014
Currently, the availability of Web resources has grown enormously to the point that whatever a user needs at a given moment can potentially be found on the Internet. These resources are not limited to data items anymore, functionality delivered through some sort of service architectural model is also offered on the Internet. In the last few years, cloud computing has emerged as one of the most popular computing models to provide services over the Internet. However, as the number of available cloud services increases, the problem of service discovery and selection arises. Experience indicates that semantic technologies can provide the basis for enhanced and more precise search processes. In …
Semantic models of musical mood: Comparison between crowd-sourced and curated editorial tags
2013
Social media services such as Last.fm provide crowd-sourced mood tags which are a rich but often noisy source of information. In contrast, editorial annotations from production music libraries are meant to be incisive in nature. We compare the efficiency of these two data sources in capturing semantic information on mood expressed by music. First, a semantic computing technique devised for mood-related tags in large datasets is applied to Last.fm and I Like Music (ILM) corpora separately (250,000 tracks each). The resulting semantic estimates are then correlated with listener ratings of arousal, valence and tension. High correlations (Spearman's rho) are found between the track positions in…
Semantic Agent Programming Language (S-APL): A Middleware Platform for the Semantic Web
2008
The agent-based approach is an effective one for building middleware interconnecting distributed heterogeneous resources and providing semantic interoperability among them. On the other hand, agents need the semantic Web technologies for flexible yet effective coordination among them with a particular issue of enabling agents to communicate not only about the domain but also about their own abilities, goals, and present and intended actions. This paper describes semantic agent programming language (SAPL)intended to be a core middleware language for the semantic Web. S-APL integrates the semantic description of the domain resources with the semantic prescription of the agents' behaviors. Add…
Genre-adaptive Semantic Computing and Audio-based Modelling for Music Mood Annotation
2016
This study investigates whether taking genre into account is beneficial for automatic music mood annotation in terms of core affects valence, arousal, and tension, as well as several other mood scales. Novel techniques employing genre-adaptive semantic computing and audio-based modelling are proposed. A technique called the ACTwg employs genre-adaptive semantic computing of mood-related social tags, whereas ACTwg-SLPwg combines semantic computing and audio-based modelling, both in a genre-adaptive manner. The proposed techniques are experimentally evaluated at predicting listener ratings related to a set of 600 popular music tracks spanning multiple genres. The results show that ACTwg outpe…
Semantic Computing of Moods Based on Tags in Social Media of Music
2014
Social tags inherent in online music services such as Last.fm provide a rich source of information on musical moods. The abundance of social tags makes this data highly beneficial for developing techniques to manage and retrieve mood information, and enables study of the relationships between music content and mood representations with data substantially larger than that available for conventional emotion research. However, no systematic assessment has been done on the accuracy of social tags and derived semantic models at capturing mood information in music. We propose a novel technique called Affective Circumplex Transformation (ACT) for representing the moods of music tracks in an interp…
Semantic HMC for Big Data Analysis
2014
International audience; Analyzing Big Data can help corporations to im-prove their efficiency. In this work we present a new vision to derive Value from Big Data using a Semantic Hierarchical Multi-label Classification called Semantic HMC based in a non-supervised Ontology learning process. We also proposea Semantic HMC process, using scalable Machine-Learning techniques and Rule-based reasoning.
Ontology-based annotation and retrieval of services in the cloud
2014
Cloud computing is a technological paradigm that permits computing services to be offered over the Internet. This new service model is closely related to previous well-known distributed computing initiatives such as Web services and grid computing. In the current socio-economic climate, the affordability of cloud computing has made it one of the most popular recent innovations. This has led to the availability of more and more cloud services, as a consequence of which it is becoming increasingly difficult for service consumers to find and access those cloud services that fulfil their requirements. In this paper, we present a semantically-enhanced platform that will assist in the process of …
Semantic Portal for Legislative Information
2006
Semantic portals enabled by Semantic Web technologies have been suggested to provide a point of access to an integrated body of information about some domain. In the area of e-Government there are multiple possible domains for semantic portals, one of them being legislative work. In this paper we propose a semantic portal based on a rich metadata repository to support the retrieval of legislative information. The portal provides process oriented semantic browsing capabilities. A prototype of the portal has been implemented for the retrieval of Finnish legislative information.