An infrastructure for searching, reusing and evolving distributed ontologies

Maedche, Alexander; Motik, Boris; Stojanović, Ljiljana; Studer, Rudi; Volz, Raphael

doi:10.1145/775213.775215

Cited by 38 publications

(51 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Even though ontology reuse brings a lot of benefits, there are currently no tools that provide adequate support for the ontology reuse process [8,14] which hinders the effort of ontology reuse. There is also no one specific method agreed in reusing ontologies.…”

Section: Related Workmentioning

confidence: 99%

A Methodology for Biomedical Ontology Reuse

Zulkarnain

Meziane

Crofts

2016

Natural Language Processing and Information Systems

View full text Add to dashboard Cite

The abundance of biomedical ontologies is beneficial to the development of biomedical related systems. However, existing biomedical ontologies such as the National Cancer Institute Thesaurus (NCIT), Foundational Model of Anatomy (FMA) and Systematized Nomenclature of Medicine-Clinical Terms (SNOMED CT) are often too large to be implemented in a particular system and cause unnecessary high usage of memory and slow down the system's processing time. Developing a new ontology from scratch just for the use of a particular system is deemed as inefficient since it requires additional time and causes redundancy. Thus, a potentially better method is by reusing existing ontologies. However, currently there are no specific methods or tools for reusing ontologies. This paper aims to provide readers with a step by step method in reusing ontologies together with the tools that can be used to ease the process.

show abstract

Section: Related Workmentioning

confidence: 99%

A Methodology for Biomedical Ontology Reuse

Zulkarnain

Meziane

Crofts

2016

Natural Language Processing and Information Systems

View full text Add to dashboard Cite

show abstract

“…Web pages are searched by search engine to find required information. They use advanced algorithms [22] to filter the pages by searching unnecessary pages. Usually these kind of search engines responses successfully by manifesting state-of art algorithms.…”

Section: "An Ontology Is An Manifestmentioning

confidence: 99%

Information Retrieval From Google Map Using Semantic Web Technology

Nahar¹,

Afrose²,

Sharmin³

2016

IJRET

View full text Add to dashboard Cite

show abstract

“…The reliance of applications on well-designed data structure leads the research in this community to be largely dominated by semi-automatic and manual approaches (e.g., Flouris et al [2008], Maedche et al [2003]). …”

Section: Mapping the Landscapementioning

confidence: 99%

“…Dellschaft and Staab [2008] presented a comprehensive set of descriptions of the approaches and measures adopted by ontology developers and researchers, while Brank et al [2005] gave a very concise overview. In contrast, Maedche et al [2003] focused on quantifying the similarity between two ontologies.…”

Section: Evaluation Of Domain Modelsmentioning

confidence: 99%

Automatically structuring domain knowledge from text: An overview of current research

Clark

Kim

Kruschwitz

et al. 2012

Information Processing & Management

View full text Add to dashboard Cite

This paper presents an overview of automatic methods for building domain knowledge structures (domain models) from text collections. Applications of domain models have a long history within knowledge engineering and artificial intelligence. In the last couple of decades they have surfaced noticeably as a useful tool within natural language processing, information retrieval and semantic web technology. Inspired by the ubiquitous propagation of domain model structures that are emerging in several research disciplines, we give an overview of the current research landscape and some techniques and approaches. We will also discuss trade-offs between different approaches and point to some recent trends.

show abstract

An infrastructure for searching, reusing and evolving distributed ontologies

Cited by 38 publications

References 0 publications

A Methodology for Biomedical Ontology Reuse

A Methodology for Biomedical Ontology Reuse

Information Retrieval From Google Map Using Semantic Web Technology

Automatically structuring domain knowledge from text: An overview of current research

Contact Info

Product

Resources

About