Semantic Metadata

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Gianin Basler - One of the best experts on this subject based on the ideXlab platform.

  • Semantic Metadata to support device interaction in smart environments
    Ubiquitous Computing, 2013
    Co-Authors: Simon Mayer, Gianin Basler
    Abstract:

    Facilitating the interaction of human users and machines with smart devices is important to drive the successful adoption of the Internet of Things in people's homes and at their workplaces. In this paper, we present a system that helps users control their smart environment, by embedding Semantic Metadata in the representations of smart things. The system enables users to specify a desirable state of their smart environment and produces a machine-readable description that details which steps are necessary to reach this state, where each step corresponds to a Web request to a smart device. A client application that, for instance, runs on the user's smartphone, then implements these steps to reconfigure the user's smart environment. We report on our experiences when integrating Semantic technologies with smart devices and on two use cases from the home and office automation domains that we implemented in our office space.

  • embedded Semantic Metadata to support device interaction in smart environments
    Ubiquitous Computing, 2013
    Co-Authors: Simon Mayer, Gianin Basler
    Abstract:

    Facilitating the interaction of human users and machines with smart devices is important to drive the successful adoption of the Internet of Things in people's homes and at their workplaces. In this poster contribution, we present an approach to support users controlling smart devices in their environment. To do this, we propose to embed Semantic Metadata in the representations of smart things. By means of this Metadata and a Semantic reasoning service, our system enables users to specify a desirable state of their smart environment and produces a machine-readable description that details which steps are necessary to reach this state, where each step corresponds to a Web request to a smart device. A client application that could, for instance, run on the user's smartphone, can distill the necessary steps required to reach the user's goal state from this description and execute them to modify the smart environment on behalf of the user.

  • poster embedded Semantic Metadata to support device interaction in smart environments
    2013
    Co-Authors: Simon Mayer, Gianin Basler
    Abstract:

    Facilitating the interaction of human users and machines with smart devices is important to drive the successful adoption of the Internet of Things in people's homes and at their workplaces. In this poster contribution, we present an approach to support users controlling smart devices in their environment. To do this, we propose to embed Semantic Metadata in the representations of smart things. By means of this Metadata and a Semantic reasoning service, our system enables users to specify a desirable state of their smart environment and produces a machine-readable description that details which steps are necessary to reach this state, where each step corresponds to a Web request to a smart device. A client application that could, for instance, run on the user's smartphone, can distill the necessary steps required to reach the user's goal state from this description and execute them to modify the smart environment on behalf of the user.

Rudi Studer - One of the best experts on this subject based on the ideXlab platform.

  • leveraging Metadata creation for the Semantic web with cream
    Lecture Notes in Computer Science, 2003
    Co-Authors: Siegfried Handschuh, Steffen Staab, Rudi Studer
    Abstract:

    The success of the Semantic Web crucially depends on the easy creation of ontology-based Metadata by Semantic annotation. We provide a framework, CREAM, that allows for the creation of Semantic Metadata about static and dynamic Web pages, i.e. for Semantic annotation of the Shallow and the Deep Web. CREAM supports the manual and the semi-automatic annotation of static Web pages, the authoring of new web pages with the simultaneous creation of Metadata, and the deep annotation of Web pages defined dynamically by database queries.

Simon Mayer - One of the best experts on this subject based on the ideXlab platform.

  • configuration of smart environments made simple combining visual modeling with Semantic Metadata and reasoning
    The Internet of Things, 2014
    Co-Authors: Simon Mayer, Nadine Inhelder, Ruben Verborgh, Rik Van De Walle, Friedemann Mattern
    Abstract:

    We present an approach that combines Semantic Metadata and reasoning with a visual modeling tool to enable the goal-driven configuration of smart environments for end users. In contrast to process-driven systems where service mashups are statically defined, this approach makes use of embedded Semantic API descriptions to dynamically create mashups that fulfill the user's goal. The main advantage of the presented system is its high degree of flexibility, as service mashups can adapt to dynamic environments and are fault-tolerant with respect to individual services becoming unavailable. To support end users in expressing their goals, we integrated a visual programming tool with our system. This tool enables users to model the desired state of their smart environment graphically and thus hides the technicalities of the underlying Semantics and the reasoning. Possible applications of the presented system include the configuration of smart homes to increase individual well-being, and reconfigurations of smart environments, for instance in the industrial automation or healthcare domains.

  • Semantic Metadata to support device interaction in smart environments
    Ubiquitous Computing, 2013
    Co-Authors: Simon Mayer, Gianin Basler
    Abstract:

    Facilitating the interaction of human users and machines with smart devices is important to drive the successful adoption of the Internet of Things in people's homes and at their workplaces. In this paper, we present a system that helps users control their smart environment, by embedding Semantic Metadata in the representations of smart things. The system enables users to specify a desirable state of their smart environment and produces a machine-readable description that details which steps are necessary to reach this state, where each step corresponds to a Web request to a smart device. A client application that, for instance, runs on the user's smartphone, then implements these steps to reconfigure the user's smart environment. We report on our experiences when integrating Semantic technologies with smart devices and on two use cases from the home and office automation domains that we implemented in our office space.

  • embedded Semantic Metadata to support device interaction in smart environments
    Ubiquitous Computing, 2013
    Co-Authors: Simon Mayer, Gianin Basler
    Abstract:

    Facilitating the interaction of human users and machines with smart devices is important to drive the successful adoption of the Internet of Things in people's homes and at their workplaces. In this poster contribution, we present an approach to support users controlling smart devices in their environment. To do this, we propose to embed Semantic Metadata in the representations of smart things. By means of this Metadata and a Semantic reasoning service, our system enables users to specify a desirable state of their smart environment and produces a machine-readable description that details which steps are necessary to reach this state, where each step corresponds to a Web request to a smart device. A client application that could, for instance, run on the user's smartphone, can distill the necessary steps required to reach the user's goal state from this description and execute them to modify the smart environment on behalf of the user.

  • poster embedded Semantic Metadata to support device interaction in smart environments
    2013
    Co-Authors: Simon Mayer, Gianin Basler
    Abstract:

    Facilitating the interaction of human users and machines with smart devices is important to drive the successful adoption of the Internet of Things in people's homes and at their workplaces. In this poster contribution, we present an approach to support users controlling smart devices in their environment. To do this, we propose to embed Semantic Metadata in the representations of smart things. By means of this Metadata and a Semantic reasoning service, our system enables users to specify a desirable state of their smart environment and produces a machine-readable description that details which steps are necessary to reach this state, where each step corresponds to a Web request to a smart device. A client application that could, for instance, run on the user's smartphone, can distill the necessary steps required to reach the user's goal state from this description and execute them to modify the smart environment on behalf of the user.

John Dann - One of the best experts on this subject based on the ideXlab platform.

  • an automated framework for the extraction of Semantic legal Metadata from legal texts
    arXiv: Software Engineering, 2020
    Co-Authors: Amin Sleimi, Nicolas Sannier, Mehrdad Sabetzadeh, Lionel C Briand, Marcello Ceci, John Dann
    Abstract:

    Semantic legal Metadata provides information that helps with understanding and interpreting legal provisions. Such Metadata is therefore important for the systematic analysis of legal requirements. However, manually enhancing a large legal corpus with Semantic Metadata is prohibitively expensive. Our work is motivated by two observations: (1) the existing requirements engineering (RE) literature does not provide a harmonized view on the Semantic Metadata types that are useful for legal requirements analysis; (2) automated support for the extraction of Semantic legal Metadata is scarce, and it does not exploit the full potential of artificial intelligence technologies, notably natural language processing (NLP) and machine learning (ML). Our objective is to take steps toward overcoming these limitations. To do so, we review and reconcile the Semantic legal Metadata types proposed in the RE literature. Subsequently, we devise an automated extraction approach for the identified Metadata types using NLP and ML. We evaluate our approach through two case studies over the Luxembourgish legislation. Our results indicate a high accuracy in the generation of Metadata annotations. In particular, in the two case studies, we were able to obtain precision scores of 97.2% and 82.4% and recall scores of 94.9% and 92.4%.

  • automated extraction of Semantic legal Metadata using natural language processing
    IEEE International Conference on Requirements Engineering, 2018
    Co-Authors: Amin Sleimi, Nicolas Sannier, Mehrdad Sabetzadeh, Lionel C Briand, John Dann
    Abstract:

    [Context] Semantic legal Metadata provides information that helps with understanding and interpreting the meaning of legal provisions. Such Metadata is important for the systematic analysis of legal requirements. [Objectives] Our work is motivated by two observations: (1) The existing requirements engineering (RE) literature does not provide a harmonized view on the Semantic Metadata types that are useful for legal requirements analysis. (2) Automated support for the extraction of Semantic legal Metadata is scarce, and further does not exploit the full potential of natural language processing (NLP). Our objective is to take steps toward addressing these limitations. [Methods] We review and reconcile the Semantic legal Metadata types proposed in RE. Subsequently, we conduct a qualitative study aimed at investigating how the identified Metadata types can be extracted automatically. [Results and Conclusions] We propose (1) a harmonized conceptual model for the Semantic Metadata types pertinent to legal requirements analysis, and (2) automated extraction rules for these Metadata types based on NLP. We evaluate the extraction rules through a case study. Our results indicate that the rules generate Metadata annotations with high accuracy.

Penny Ross - One of the best experts on this subject based on the ideXlab platform.

  • Semantic Metadata interoperability in digital libraries a constructivist grounded theory approach
    Bulletin of IEEE Technical Committee on Digital Libraries., 2012
    Co-Authors: Getaneh Alemu, Brett Stevens, Penny Ross
    Abstract:

    This paper highlights problems of Semantic Metadata interoperability in digital libraries. The prevalence of a plethora of standards and a lack of Semantic interoperability can partly be attributed to the absence of theoretical foundations to underpin current Metadata approaches and solutions. Contemporary Metadata standards and interoperability approaches are mainly top-down and hierarchical, and, hence, fail to take into account the diversity of cultural, linguistic and local perspectives that abound. To overcome this, it is proposed that a social constructivist approach should be adopted by libraries and other cultural heritage institutions when archiving information objects that need to be enriched with Metadata, thereby reflecting the diversity of views and perspectives that can be held by their users. Following on Charmaz [1], a constructivist grounded theory method is employed to investigate how library professionals and library users view Metadata standards, collaborative Metadata approaches and Semantic web technologies in relation to Semantic Metadata interoperability. This method allows an active interplay between the researcher and the participants who can be either Library and Information Science researchers, librarians or library users. Following the completion first phase of data collection, preliminary reflections are presented, with emphasis on how Library and Information Science professionals view current Metadata practices, especially as used in academic library contexts. However, as the study is ongoing one, it is too early to generate theoretical categories and conclusions.

  • towards a conceptual framework for user driven Semantic Metadata interoperability in digital libraries a social constructivist approach
    New Library World, 2012
    Co-Authors: Getaneh Alemu, Brett Stevens, Penny Ross
    Abstract:

    Purpose – With the aim of developing a conceptual framework which aims to facilitate Semantic Metadata interoperability, this paper explores overarching conceptual issues on how traditional library information organisation schemes such as online public access catalogues (OPACs), taxonomies, thesauri, and ontologies on the one hand versus Web 2.0 technologies such as social tagging (folksonomies) can be harnessed to provide users with satisfying experiences.Design/methodology/approach – This paper reviews works in relation to current Metadata creation, utilisation and interoperability approaches, focusing on how a social constructivist philosophical perspective can be employed to underpin Metadata decisions in digital libraries. Articles are retrieved from databases such as EBSCO host and Emerald and online magazines such as D‐Lib and Ariadne. Books, news articles and blog posts that are deemed relevant are also used to support the arguments put forward in this paper.Findings – Current Metadata approaches ...