On Automatic Modeling and Use of Domain-specific Ontologies

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearch

    Abstract

    In this paper, we firstly introduce an approach to the modeling of a domain-specific ontology for use in connection with a given document collection. Secondly, we present a methodology for deriving conceptual similarity from the domain-specific ontology. Adopted for ontology representation is a specific lattice-based concept algebraic language by which ontologies are inherently generative. The modeling of a domain specific ontology is based on a general ontology built upon common knowledge resources as dictionaries and thesauri. Based on analysis of concept occurrences in the object document collection the general ontology is restricted to a domain specific ontology encompassing concepts instantiated in the collection. The resulting domain specific ontology and similarity can be applied for surveying the collection through key concepts and conceptual relations and provides a means for topic-based navigation. Finally, a measure of concept similarity is derived from the domain specific ontology based on occurrences, commonalities, and distances in the ontology.
    Original languageEnglish
    Title of host publicationLecture Notes in Artificial Intelligence
    PublisherSpringer
    Publication date2005
    Publication statusPublished - 2005
    Event15th International Symposium on Methodologies for Intelligent Systems, ISMIS 2005 - Saratoga Springs, United States
    Duration: 25 May 200528 May 2005
    Conference number: 15

    Conference

    Conference15th International Symposium on Methodologies for Intelligent Systems, ISMIS 2005
    Number15
    CountryUnited States
    CitySaratoga Springs
    Period25/05/200528/05/2005

    Cite this

    @inproceedings{0e0a1fd052be11dba4bc000ea68e967b,
    title = "On Automatic Modeling and Use of Domain-specific Ontologies",
    abstract = "In this paper, we firstly introduce an approach to the modeling of a domain-specific ontology for use in connection with a given document collection. Secondly, we present a methodology for deriving conceptual similarity from the domain-specific ontology. Adopted for ontology representation is a specific lattice-based concept algebraic language by which ontologies are inherently generative. The modeling of a domain specific ontology is based on a general ontology built upon common knowledge resources as dictionaries and thesauri. Based on analysis of concept occurrences in the object document collection the general ontology is restricted to a domain specific ontology encompassing concepts instantiated in the collection. The resulting domain specific ontology and similarity can be applied for surveying the collection through key concepts and conceptual relations and provides a means for topic-based navigation. Finally, a measure of concept similarity is derived from the domain specific ontology based on occurrences, commonalities, and distances in the ontology.",
    author = "Troels Andreasen and Rasmus Knappe and Henrik Bulskov",
    year = "2005",
    language = "English",
    booktitle = "Lecture Notes in Artificial Intelligence",
    publisher = "Springer",

    }

    Andreasen, T, Knappe, R & Bulskov, H 2005, On Automatic Modeling and Use of Domain-specific Ontologies. in Lecture Notes in Artificial Intelligence. Springer, Saratoga Springs, United States, 25/05/2005.

    On Automatic Modeling and Use of Domain-specific Ontologies. / Andreasen, Troels; Knappe, Rasmus; Bulskov, Henrik.

    Lecture Notes in Artificial Intelligence. Springer, 2005.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearch

    TY - GEN

    T1 - On Automatic Modeling and Use of Domain-specific Ontologies

    AU - Andreasen, Troels

    AU - Knappe, Rasmus

    AU - Bulskov, Henrik

    PY - 2005

    Y1 - 2005

    N2 - In this paper, we firstly introduce an approach to the modeling of a domain-specific ontology for use in connection with a given document collection. Secondly, we present a methodology for deriving conceptual similarity from the domain-specific ontology. Adopted for ontology representation is a specific lattice-based concept algebraic language by which ontologies are inherently generative. The modeling of a domain specific ontology is based on a general ontology built upon common knowledge resources as dictionaries and thesauri. Based on analysis of concept occurrences in the object document collection the general ontology is restricted to a domain specific ontology encompassing concepts instantiated in the collection. The resulting domain specific ontology and similarity can be applied for surveying the collection through key concepts and conceptual relations and provides a means for topic-based navigation. Finally, a measure of concept similarity is derived from the domain specific ontology based on occurrences, commonalities, and distances in the ontology.

    AB - In this paper, we firstly introduce an approach to the modeling of a domain-specific ontology for use in connection with a given document collection. Secondly, we present a methodology for deriving conceptual similarity from the domain-specific ontology. Adopted for ontology representation is a specific lattice-based concept algebraic language by which ontologies are inherently generative. The modeling of a domain specific ontology is based on a general ontology built upon common knowledge resources as dictionaries and thesauri. Based on analysis of concept occurrences in the object document collection the general ontology is restricted to a domain specific ontology encompassing concepts instantiated in the collection. The resulting domain specific ontology and similarity can be applied for surveying the collection through key concepts and conceptual relations and provides a means for topic-based navigation. Finally, a measure of concept similarity is derived from the domain specific ontology based on occurrences, commonalities, and distances in the ontology.

    M3 - Article in proceedings

    BT - Lecture Notes in Artificial Intelligence

    PB - Springer

    ER -

    Andreasen T, Knappe R, Bulskov H. On Automatic Modeling and Use of Domain-specific Ontologies. In Lecture Notes in Artificial Intelligence. Springer. 2005