The Experts below are selected from a list of 255 Experts worldwide ranked by ideXlab platform

Krzysztof Janowicz - One of the best experts on this subject based on the ideXlab platform.

  • analyzing the spatial semantic interaction of points of interest in volunteered Geographic information
    Conference On Spatial Information Theory, 2011
    Co-Authors: Christoph Mulligann, Krzysztof Janowicz, Wangchien Lee
    Abstract:

    With the increasing success and commercial integration of Volunteered Geographic Information (VGI), the focus shifts away from coverage to data quality and homogeneity. Within the last years, several studies have been published analyzing the positional accuracy of Features, completeness of specific attributes, or the topological consistency of line and polygon Features. However, most of these studies do not take Geographic Feature types into account. This is for two reasons. First, and in contrast to street networks, choosing a reference set is difficult. Second, we lack the measures to quantify the degree of Feature type miscategorization. In this work, we present a methodology to analyze the spatial-semantic interaction of point Features in Volunteered Geographic Information. Feature types in VGI can be considered special in both, the way they are formed and the way they are applied. Given that they reflect community agreement more accurately than top-down approaches, we argue that they should be used as the primary basis for assessing spatial-semantic interaction. We present a case study on a spatial and semantic subset of OpenStreetMap, and introduce a novel semantic similarity measure based on the change history of OpenStreetMap elements. Our results set the stage for systems that assist VGI contributors in suggesting the types of new Features, cleaning up existing data, and integrating data from different sources.

  • COSIT - Analyzing the spatial-semantic interaction of points of interest in volunteered Geographic information
    Spatial Information Theory, 2011
    Co-Authors: Christoph Mulligann, Krzysztof Janowicz, Wangchien Lee
    Abstract:

    With the increasing success and commercial integration of Volunteered Geographic Information (VGI), the focus shifts away from coverage to data quality and homogeneity. Within the last years, several studies have been published analyzing the positional accuracy of Features, completeness of specific attributes, or the topological consistency of line and polygon Features. However, most of these studies do not take Geographic Feature types into account. This is for two reasons. First, and in contrast to street networks, choosing a reference set is difficult. Second, we lack the measures to quantify the degree of Feature type miscategorization. In this work, we present a methodology to analyze the spatial-semantic interaction of point Features in Volunteered Geographic Information. Feature types in VGI can be considered special in both, the way they are formed and the way they are applied. Given that they reflect community agreement more accurately than top-down approaches, we argue that they should be used as the primary basis for assessing spatial-semantic interaction. We present a case study on a spatial and semantic subset of OpenStreetMap, and introduce a novel semantic similarity measure based on the change history of OpenStreetMap elements. Our results set the stage for systems that assist VGI contributors in suggesting the types of new Features, cleaning up existing data, and integrating data from different sources.

  • sim dla a novel semantic similarity measure for description logics reducing inter concept to inter instance similarity
    European Semantic Web Conference, 2009
    Co-Authors: Krzysztof Janowicz, Marc Wilkes
    Abstract:

    While semantic similarity plays a crucial role for human categorization and reasoning, computational similarity measures have also been applied to fields such as semantics-based information retrieval or ontology engineering. Several measures have been developed to compare concepts specified in various description logics. In most cases, these measures are either structural or require a populated ontology. Structural measures fail with an increasing expressivity of the used description logic, while several ontologies, e.g., Geographic Feature type ontologies, are not populated at all. In this paper, we present an approach to reduce inter-concept to inter-instance similarity and thereby avoid the canonization problem of structural measures. The novel approach, called SIM-DLA , reuses existing similarity functions such as co-occurrence or network measures from our previous SIM-DL measure. The required instances for comparison are derived from the completion tree of a slightly modified DL-tableau algorithm as used for satisfiability checking. Instead of trying to find one (clash-free) model, the new algorithm generates a set of proxy individuals used for comparison. The paper presents the algorithm, alignment matrix, and similarity functions as well as a detailed example.

  • a study on the cognitive plausibility of sim dl similarity rankings for Geographic Feature types
    Agile Conference, 2008
    Co-Authors: Krzysztof Janowicz, Carsten Kesler, Ilija Panov, Marc Wilkes, Martin Espeter, Mirco Schwarz
    Abstract:

    The SIM-DL theory has been developed to enable similarity measurement between concept specifications using description logics. It thus closes the gap between similarity theories from psychology and formal representation languages from the AI community, such as the Web Ontology Language (OWL). In this paper, we present the results of a human participants test which investigates the cognitive plausibility of SIM-DL, that is, how well the rankings computed by the similarity theory match human similarity judgments. For this purpose, a questionnaire on the similarity between Geographic Feature types from the hydrographic domain was handed out to a group of participants. We discuss the set up and the results of this test, as well as the development of the according hydrographic Feature type ontology and user interface. Finally, we give an outlook on the future development of SIM-DL and further potential application areas.

  • AGILE Conf. - A Study on the Cognitive Plausibility of SIM-DL Similarity Rankings for Geographic Feature Types
    Lecture Notes in Geoinformation and Cartography, 1
    Co-Authors: Krzysztof Janowicz, Ilija Panov, Marc Wilkes, Martin Espeter, Carsten Keßler, Mirco Schwarz
    Abstract:

    The SIM-DL theory has been developed to enable similarity measurement between concept specifications using description logics. It thus closes the gap between similarity theories from psychology and formal representation languages from the AI community, such as the Web Ontology Language (OWL). In this paper, we present the results of a human participants test which investigates the cognitive plausibility of SIM-DL, that is, how well the rankings computed by the similarity theory match human similarity judgments. For this purpose, a questionnaire on the similarity between Geographic Feature types from the hydrographic domain was handed out to a group of participants. We discuss the set up and the results of this test, as well as the development of the according hydrographic Feature type ontology and user interface. Finally, we give an outlook on the future development of SIM-DL and further potential application areas.

Marc Wilkes - One of the best experts on this subject based on the ideXlab platform.

  • sim dla a novel semantic similarity measure for description logics reducing inter concept to inter instance similarity
    European Semantic Web Conference, 2009
    Co-Authors: Krzysztof Janowicz, Marc Wilkes
    Abstract:

    While semantic similarity plays a crucial role for human categorization and reasoning, computational similarity measures have also been applied to fields such as semantics-based information retrieval or ontology engineering. Several measures have been developed to compare concepts specified in various description logics. In most cases, these measures are either structural or require a populated ontology. Structural measures fail with an increasing expressivity of the used description logic, while several ontologies, e.g., Geographic Feature type ontologies, are not populated at all. In this paper, we present an approach to reduce inter-concept to inter-instance similarity and thereby avoid the canonization problem of structural measures. The novel approach, called SIM-DLA , reuses existing similarity functions such as co-occurrence or network measures from our previous SIM-DL measure. The required instances for comparison are derived from the completion tree of a slightly modified DL-tableau algorithm as used for satisfiability checking. Instead of trying to find one (clash-free) model, the new algorithm generates a set of proxy individuals used for comparison. The paper presents the algorithm, alignment matrix, and similarity functions as well as a detailed example.

  • a study on the cognitive plausibility of sim dl similarity rankings for Geographic Feature types
    Agile Conference, 2008
    Co-Authors: Krzysztof Janowicz, Carsten Kesler, Ilija Panov, Marc Wilkes, Martin Espeter, Mirco Schwarz
    Abstract:

    The SIM-DL theory has been developed to enable similarity measurement between concept specifications using description logics. It thus closes the gap between similarity theories from psychology and formal representation languages from the AI community, such as the Web Ontology Language (OWL). In this paper, we present the results of a human participants test which investigates the cognitive plausibility of SIM-DL, that is, how well the rankings computed by the similarity theory match human similarity judgments. For this purpose, a questionnaire on the similarity between Geographic Feature types from the hydrographic domain was handed out to a group of participants. We discuss the set up and the results of this test, as well as the development of the according hydrographic Feature type ontology and user interface. Finally, we give an outlook on the future development of SIM-DL and further potential application areas.

  • AGILE Conf. - A Study on the Cognitive Plausibility of SIM-DL Similarity Rankings for Geographic Feature Types
    Lecture Notes in Geoinformation and Cartography, 1
    Co-Authors: Krzysztof Janowicz, Ilija Panov, Marc Wilkes, Martin Espeter, Carsten Keßler, Mirco Schwarz
    Abstract:

    The SIM-DL theory has been developed to enable similarity measurement between concept specifications using description logics. It thus closes the gap between similarity theories from psychology and formal representation languages from the AI community, such as the Web Ontology Language (OWL). In this paper, we present the results of a human participants test which investigates the cognitive plausibility of SIM-DL, that is, how well the rankings computed by the similarity theory match human similarity judgments. For this purpose, a questionnaire on the similarity between Geographic Feature types from the hydrographic domain was handed out to a group of participants. We discuss the set up and the results of this test, as well as the development of the according hydrographic Feature type ontology and user interface. Finally, we give an outlook on the future development of SIM-DL and further potential application areas.

Mirco Schwarz - One of the best experts on this subject based on the ideXlab platform.

  • a study on the cognitive plausibility of sim dl similarity rankings for Geographic Feature types
    Agile Conference, 2008
    Co-Authors: Krzysztof Janowicz, Carsten Kesler, Ilija Panov, Marc Wilkes, Martin Espeter, Mirco Schwarz
    Abstract:

    The SIM-DL theory has been developed to enable similarity measurement between concept specifications using description logics. It thus closes the gap between similarity theories from psychology and formal representation languages from the AI community, such as the Web Ontology Language (OWL). In this paper, we present the results of a human participants test which investigates the cognitive plausibility of SIM-DL, that is, how well the rankings computed by the similarity theory match human similarity judgments. For this purpose, a questionnaire on the similarity between Geographic Feature types from the hydrographic domain was handed out to a group of participants. We discuss the set up and the results of this test, as well as the development of the according hydrographic Feature type ontology and user interface. Finally, we give an outlook on the future development of SIM-DL and further potential application areas.

  • AGILE Conf. - A Study on the Cognitive Plausibility of SIM-DL Similarity Rankings for Geographic Feature Types
    Lecture Notes in Geoinformation and Cartography, 1
    Co-Authors: Krzysztof Janowicz, Ilija Panov, Marc Wilkes, Martin Espeter, Carsten Keßler, Mirco Schwarz
    Abstract:

    The SIM-DL theory has been developed to enable similarity measurement between concept specifications using description logics. It thus closes the gap between similarity theories from psychology and formal representation languages from the AI community, such as the Web Ontology Language (OWL). In this paper, we present the results of a human participants test which investigates the cognitive plausibility of SIM-DL, that is, how well the rankings computed by the similarity theory match human similarity judgments. For this purpose, a questionnaire on the similarity between Geographic Feature types from the hydrographic domain was handed out to a group of participants. We discuss the set up and the results of this test, as well as the development of the according hydrographic Feature type ontology and user interface. Finally, we give an outlook on the future development of SIM-DL and further potential application areas.

Wangchien Lee - One of the best experts on this subject based on the ideXlab platform.

  • analyzing the spatial semantic interaction of points of interest in volunteered Geographic information
    Conference On Spatial Information Theory, 2011
    Co-Authors: Christoph Mulligann, Krzysztof Janowicz, Wangchien Lee
    Abstract:

    With the increasing success and commercial integration of Volunteered Geographic Information (VGI), the focus shifts away from coverage to data quality and homogeneity. Within the last years, several studies have been published analyzing the positional accuracy of Features, completeness of specific attributes, or the topological consistency of line and polygon Features. However, most of these studies do not take Geographic Feature types into account. This is for two reasons. First, and in contrast to street networks, choosing a reference set is difficult. Second, we lack the measures to quantify the degree of Feature type miscategorization. In this work, we present a methodology to analyze the spatial-semantic interaction of point Features in Volunteered Geographic Information. Feature types in VGI can be considered special in both, the way they are formed and the way they are applied. Given that they reflect community agreement more accurately than top-down approaches, we argue that they should be used as the primary basis for assessing spatial-semantic interaction. We present a case study on a spatial and semantic subset of OpenStreetMap, and introduce a novel semantic similarity measure based on the change history of OpenStreetMap elements. Our results set the stage for systems that assist VGI contributors in suggesting the types of new Features, cleaning up existing data, and integrating data from different sources.

  • COSIT - Analyzing the spatial-semantic interaction of points of interest in volunteered Geographic information
    Spatial Information Theory, 2011
    Co-Authors: Christoph Mulligann, Krzysztof Janowicz, Wangchien Lee
    Abstract:

    With the increasing success and commercial integration of Volunteered Geographic Information (VGI), the focus shifts away from coverage to data quality and homogeneity. Within the last years, several studies have been published analyzing the positional accuracy of Features, completeness of specific attributes, or the topological consistency of line and polygon Features. However, most of these studies do not take Geographic Feature types into account. This is for two reasons. First, and in contrast to street networks, choosing a reference set is difficult. Second, we lack the measures to quantify the degree of Feature type miscategorization. In this work, we present a methodology to analyze the spatial-semantic interaction of point Features in Volunteered Geographic Information. Feature types in VGI can be considered special in both, the way they are formed and the way they are applied. Given that they reflect community agreement more accurately than top-down approaches, we argue that they should be used as the primary basis for assessing spatial-semantic interaction. We present a case study on a spatial and semantic subset of OpenStreetMap, and introduce a novel semantic similarity measure based on the change history of OpenStreetMap elements. Our results set the stage for systems that assist VGI contributors in suggesting the types of new Features, cleaning up existing data, and integrating data from different sources.

Enhong Xing - One of the best experts on this subject based on the ideXlab platform.