An ontology based-approach for semantic search in portals

Pinheiro, Wallace A.; Moura, A.M.C.

doi:10.1109/dexa.2004.1333461

“…Domain ontologies are used in [8] in order to expand the original search. The query is enriched with hypernyms, hyponyms, synonyms and related concepts.…”

Section: State Of the Artmentioning

confidence: 99%

Contextualizing Data on a Content Management System

Moreira

¹

,

Taborda

²

,

Gaudio

³

et al. 2015

Proceedings of the Eighth Workshop on Exploiting Semantic Annotations in Information Retrieval

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Content Management Systems (CMSs) are known for their ability for storing data, both structured and non-structured data. However they are not able to associate meaning and context to the stored information. Furthermore, these systems do not meet the needs and expectations of their users, because as the size of data increases, the system loses its capacity of retrieving meaningful results. In order to overcome this issue, we propose a method to implement data contextualization on a CMS. The proposed method consists of enriching the data with semantic information, allowing a more accurate retrieval of results. The implementation of this approach was validated by applying this contextualization method to a currently used CMS with real information. With this improved CMS, it is expected that the users will be able to retrieve data related to their initial search.

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“…The Semantic Query Building submodule is responsible for creating and sending semantic queries to be processed by the search module. It considers the notion of context 32 , where an ontology concept may be used in the search expression to restrain the search results.…”

Section: Sigeposmentioning

confidence: 99%

Ontology matching for dynamic publication in semantic portals

Lachtim¹,

Moura²,

Cavalcanti³

2009

J. Braz. Comp. Soc.

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Semantic portals are characterized for storing and structuring content according to specific domain ontologies. This content is represented through ontological languages, which enable not only adding semantic value to information treatment, but also inferring new knowledge from it. Publication in a semantic portal is typically done by instantiating its ontology, and this is often performed manually or through the use of specific forms. However, in order to keep portals constantly up-to-date, it is necessary to provide means for a more dynamic publication, integrating the portal content with information retrieved from different ontology-based sites on the same or on complementary domains. Reusing information from different ontologies requires specific and efficient mechanisms to align them, taking into account syntactical and semantical conflicts. This paper proposes an extension of the Crosi Mapping System, a matching mechanism which calculates similarities between ontologies. Some of its original algorithms have been enriched with additional functionality. This extension, named e-CMS, has been evaluated using the OAEI ontology alignment benchmark, and results show an increase of 69% in alignment precision when compared to the CMS original version. In order to illustrate its use, the e-CMS strategy was applied to SiGePoS, a System for Generating Semantic Portals. The semantic module, one of the system components, implements the alignment mechanism between ontologies, which is performed by the e-CMS.

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“…In the scope of this paper, entity and concept are used indifferently Ontology matching for dynamic publication in semantic portals 2009; 15 (1) The Semantic Query Building submodule is responsible for creating and sending semantic queries to be processed by the search module. It considers the notion of context 32 , where an ontology concept may be used in the search expression to restrain the search results.…”

Section: Sigeposmentioning

confidence: 99%

Ontology matching for dynamic publication in semantic portals

Lachtim

¹

,

Moura

²

,

Cavalcanti

³

2009

View full text Add to dashboard Cite

Semantic portals are characterized for storing and structuring content according to specific domain ontologies. This content is represented through ontological languages, which enable not only adding semantic value to information treatment, but also inferring new knowledge from it. Publication in a semantic portal is typically done by instantiating its ontology, and this is often performed manually or through the use of specific forms. However, in order to keep portals constantly up-to-date, it is necessary to provide means for a more dynamic publication, integrating the portal content with information retrieved from different ontology-based sites on the same or on complementary domains. Reusing information from different ontologies requires specific and efficient mechanisms to align them, taking into account syntactical and semantical conflicts. This paper proposes an extension of the Crosi Mapping System, a matching mechanism which calculates similarities between ontologies. Some of its original algorithms have been enriched with additional functionality. This extension, named e-CMS, has been evaluated using the OAEI ontology alignment benchmark, and results show an increase of 69% in alignment precision when compared to the CMS original version. In order to illustrate its use, the e-CMS strategy was applied to SiGePoS, a System for Generating Semantic Portals. The semantic module, one of the system components, implements the alignment mechanism between ontologies, which is performed by the e-CMS.

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An ontology based-approach for semantic search in portals

Cited by 7 publications

References 7 publications

Contextualizing Data on a Content Management System

Contextualizing Data on a Content Management System

Ontology matching for dynamic publication in semantic portals

Ontology matching for dynamic publication in semantic portals

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