koso knowledge organization systems ontology

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Fact 1: Plenty of different knowledge organization systems (KOS) are available as domain representations and indexing vocabularies – and their number is still growing. Fact 2: Access to existing KOS is needed to enable reuse and exchange. Fact 3: No shared definitions, classifications and descriptions of different KOS types are in use. Hypothesis: New meta-level of ontology engineering is needed for reuse, recombination and interactions. Approach: Metadata ontology for the classification and detailed description of existing KOS and their interactions. Ontology Explicitly specified semantic relations. Formal representation language (for automatic reasoning). Distinguishing concepts and individuals. Example: Cyc Thesaurus Focus on elaborated vocabulary control: meronymy, hyponymy, equivalences and unspecific associative relations. Example: Medical Subject Headings (MeSH) Classification Mainly hierarchical structure, equivalence relations. Subtypes, e.g. decimal classification, faceted classification. Uses notations. Example: International Patent Classification (IPC) Nomenclature Controlled keyword indexing with focus on equivalence relations (synonyms), additional associations possible. Example: CAS Registry File Folksonomy No concept interrelations. Developed by community, bound to platform. Subtypes: broad and narrow folksonomy. Examples: Flickr Folksonomy, Del.icio.us Folksonomy. Versioning Interlinking different (release) versions: has_version, is_prior_version_of, is_later_version_of, is_language_version_of. Modularization KOS and components: consists_of_module, is_component_of. Example: Gene Ontology consists of three modules Biological Process, Cellular Component and Molecular Function. Resources and Reuse Reuse of existing resources: is_resource_for and reuses. May be specified to complete and partly reuse. Example: SmartSUMO ontology reuses DOLCE and SUMO. Cross- references Established cross-references between concepts of two different KOS: has_concordances_to. Example: Standard Thesaurus Wirtschaft has_concordances_to NACE. Multi- representation Independent KOS within the same platform, may represent different points of view: used_in_combination_with. KOSO – A Metadata Ontology for Knowledge Organization Systems Katrin Weller, M.A. Heinrich-Heine-University Düsseldorf, Germany Institute for Language and Information Department of Information Science [email protected] Details Properties to specify interactions of different KOS Aim KOSO (Knowlede Organization Systems Ontology) wants to support knowledge exchange and reuse of existing KOS by providing a set of descriptive metadata. defining and classifying different types of KOS. specifying modes of KOS interactions. References [1] Hartmann, J., Palma, R., et al.: Ontology Metadata Vocabulary and Applications. In: International Conference on Ontologies, Databases and Applications of Semantics. Workshop on Web Semantics (SWWS), pp. 906--915. Springer (2005) [2] Hartmann, J.: ONTHOLOGY. An Ontology Metadata Repository. In: Demo and Poster Proceedings of ESWC 2006 (2006) [3] Suarez-Figueroa, M. C., García-Castro, R., Gómez-Pérez, A., Palma, R., Nixon, L. J. B., Paslaru, E., Hartmann, J., & Jarrar, M.: Identification of Standards on Metadata for Ontologies. KWeb Deliverable D1.3.2 (2005) [4] Arpirez, J. C., Gómez-Pérez, A., Lozano-Tello, A., Pinto, H. S.: Reference Ontology and (ONTO)2 Agent: The Ontology Yellow Pages. Knowledge and Information Systems, 2(4), 387--412 (2000) [5] Zeng, M.L.: Taxonomy of knowledge organization sources / systems. Online: http://nkos.slis.kent.edu/KOS_taxonomy.htm [January 10, 2008] (2000). -- An extended description of this poster has been prepared for the 1st International Workshop on Knowledge Reuse and Reengineering over the Semantic Web (KRRSW 2008) hosted at ESWC 2008. Basic Structure of the Ontology Example: International Patent Classificaton (IPC) is_a Classification (is_a KnowledgeOrganisationSystem) has_version: IPC2006, … available_in_language: English, French uses_notations = true is_developed_by: WorldIntellectualPropertyOrganization has_number_of_concepts: 50,000-100,000 uses_relation: Hierarchy has_domain: IntellectualProperty is_used_to_index: InternationalPatents Discussion Discussions with an interested community should particularly focus on: Accurate definition of ontologies and types of ontologies. Classification of application fields for ontologies. Additional types of KOS interactions. The role of relations for emergent semantics. Interrelations with other approaches to establish ontology metadata. Defining different KOS types Future Work Future work will comprise: Broadening the concept of KnowledgeOrganizationSystem to KnowledgeResource to include EncyclopedicResources (glossaries, wikis etc.) and LinguisticResources (linguistic thesauri, dictionaries). Specific properties will have to be defined. Inclusion of new modules for engineering methodologies and tools. Inclusion of standards and norms. Complementary platform for documenting and retrieving KOS. Implementation KOSO has been implemented in OWL-DL. Key concept is KnowledgeOrganizationSystem. Six main modules are build around it to describe KOS. Additional datatype properties, e.g. has_release_date, has_number_of_relations, provides_usage_guidelines. The types of semantic relations within a KOS are one key factor to determine the semantic complexity. Specic Domain Art Economics Geography Science Biology Medicine Universal Domain Domain Publication Artwork Event People Computational Object Audio File Program Biological Object Gene Document Single Person Research Group Institution Company Community Developer Language Natural Language English German Representation Language XML OWL Knowledge Organization System Ontology Thesaurus Classication Nomenclature Folksonomy Platform Document Collection Museum Library Online Platform Publication Database Social Software Knowledge Relation Syntagmatic Relation Co-Occurence Paradigmatic Relation Hierarchy Equivalence Association uses available_in_language has_domain used_to_index used_in_platform developed_by developed_by contains_document

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Poster presented at European Semantic Web Conference 2008 (ESWC 2008), Tenerife, Spain.

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Fact 1:

Plenty of different knowledgeorganization systems (KOS) are available as domainrepresentations and indexingvocabularies – and theirnumber is still growing.

Fact 2:Access to existing KOS

is needed to enablereuse and exchange.

Fact 3:No shared definitions,

classifications and descriptions of

different KOS typesare in use.

Hypothesis:New meta-level of

ontology engineeringis needed for reuse,

recombination and interactions.

Approach:Metadata ontology for

the classification and detailed description of

existing KOS and their interactions.

Ontology • Explicitly specified semantic relations. • Formal representation language (for automatic reasoning).• Distinguishing concepts and individuals.• Example: Cyc

Thesaurus • Focus on elaborated vocabulary control: meronymy, hyponymy, equivalences and unspecific associative relations.

• Example: Medical Subject Headings (MeSH)Classification • Mainly hierarchical structure, equivalence relations.

• Subtypes, e.g. decimal classification, faceted classification. • Uses notations.• Example: International Patent Classification (IPC)

Nomenclature • Controlled keyword indexing with focus on equivalence relations (synonyms), additional associations possible.

• Example: CAS Registry FileFolksonomy • No concept interrelations.

• Developed by community, bound to platform.• Subtypes: broad and narrow folksonomy. • Examples: Flickr Folksonomy, Del.icio.us Folksonomy.

Versioning Interlinking different (release) versions: has_version, is_prior_version_of, is_later_version_of, is_language_version_of.

Modularization KOS and components: consists_of_module, is_component_of. Example: Gene Ontology consists of three modules Biological Process, Cellular Component and Molecular Function.

Resources and Reuse

Reuse of existing resources: is_resource_for and reuses. May be specified to complete and partly reuse. Example: SmartSUMO ontology reuses DOLCE and SUMO.

Cross-references

Established cross-references between concepts of two different KOS: has_concordances_to. Example: Standard Thesaurus Wirtschafthas_concordances_to NACE.

Multi-representation

Independent KOS within the same platform, may represent different points of view: used_in_combination_with.

KOSO – A Metadata Ontology for Knowledge Organization Systems

Katrin Weller, M.A.Heinrich-Heine-University Düsseldorf, Germany

Institute for Language and InformationDepartment of Information Science

[email protected]

Details

Properties to specify interactions of different KOS

AimKOSO (Knowlede Organization Systems Ontology) wants to supportknowledge exchange and reuse of existing KOS by

providing a set of descriptive metadata. defining and classifying different types of KOS. specifying modes of KOS interactions.

References[1] Hartmann, J., Palma, R., et al.: Ontology Metadata Vocabulary and Applications. In: International Conference on Ontologies, Databases and Applications of Semantics. Workshop on Web Semantics (SWWS), pp. 906--915. Springer (2005)[2] Hartmann, J.: ONTHOLOGY. An Ontology Metadata Repository. In: Demo and Poster Proceedings of ESWC 2006 (2006)[3] Suarez-Figueroa, M. C., García-Castro, R., Gómez-Pérez, A., Palma, R., Nixon, L. J. B., Paslaru, E., Hartmann, J., & Jarrar, M.: Identification of Standards on Metadata for Ontologies. KWeb Deliverable D1.3.2 (2005)[4] Arpirez, J. C., Gómez-Pérez, A., Lozano-Tello, A., Pinto, H. S.: Reference Ontology and (ONTO)2 Agent: The Ontology Yellow Pages. Knowledge and Information Systems, 2(4), 387--412 (2000)[5] Zeng, M.L.: Taxonomy of knowledge organization sources / systems. Online: http://nkos.slis.kent.edu/KOS_taxonomy.htm [January 10, 2008] (2000).-- An extended description of this poster has been prepared for the 1st International Workshop on Knowledge Reuse and Reengineering over the Semantic Web (KRRSW 2008) hosted at ESWC 2008.

Basic Structure of the Ontology

Example:International Patent Classificaton (IPC)

is_a Classification(is_a KnowledgeOrganisationSystem)

has_version: IPC2006, …available_in_language: English, Frenchuses_notations = trueis_developed_by:WorldIntellectualPropertyOrganizationhas_number_of_concepts: 50,000-100,000uses_relation: Hierarchyhas_domain: IntellectualPropertyis_used_to_index: InternationalPatents

DiscussionDiscussions with an interested community should particularly focus on: • Accurate definition of ontologies and types of ontologies.• Classification of application fields for ontologies.• Additional types of KOS interactions.• The role of relations for emergent semantics.• Interrelations with other approaches to establish ontology metadata.

Defining different KOS types

Future WorkFuture work will comprise: • Broadening the concept of KnowledgeOrganizationSystem to KnowledgeResource to include EncyclopedicResources(glossaries, wikis etc.) and LinguisticResources (linguistic thesauri, dictionaries). Specific properties will have to be defined.

• Inclusion of new modules for engineering methodologies and tools. • Inclusion of standards and norms. • Complementary platform for documenting and retrieving KOS.

Implementation• KOSO has been implemented in OWL-DL. • Key concept is KnowledgeOrganizationSystem. Six main modules are

build around it to describe KOS. • Additional datatype properties, e.g. has_release_date, has_number_of_relations, provides_usage_guidelines.

The types of semantic relations within a KOS are one key factor to determine the semantic complexity.

Specific Domain Art Economics Geography Science Biology MedicineUniversal Domain

Domain

PublicationArtworkEventPeopleComputational Object Audio File ProgramBiological Object Gene

Document

Single PersonResearch GroupInstitutionCompanyCommunity

Developer

Language

Natural Language English GermanRepresentation Language XML OWL

Knowledge Organization System

Ontology

Thesaurus

Classification

Nomenclature

Folksonomy

Platform

Document Collection Museum LibraryOnline Platform Publication Database Social Software

Knowledge Relation

Syntagmatic Relation Co-OccurenceParadigmatic Relation Hierarchy Equivalence Association

uses

available_in_language

has_domain

used_to_index

used_in_platformdeveloped_by

developed_by

contains_document