FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2145687110> ?p ?o ?g. }

• W2145687110 endingPage "282" @default.
• W2145687110 startingPage "272" @default.
• W2145687110 abstract "Abstract For the sake of national security, very large volumes of data and information are generated and gathered daily. Much of this data and information is written in different languages, stored in different locations, and may be seemingly unconnected. Crosslingual semantic interoperability is a major challenge to generate an overview of this disparate data and information so that it can be analyzed, shared, searched, and summarized. The recent terrorist attacks and the tragic events of September 11, 2001 have prompted increased attention on national security and criminal analysis. Many Asian countries and cities, such as Japan, Taiwan, and Singapore, have been advised that they may become the next targets of terrorist attacks. Semantic interoperability has been a focus in digital library research. Traditional information retrieval (IR) approaches normally require a document to share some common keywords with the query. Generating the associations for the related terms between the two term spaces of users and documents is an important issue. The problem can be viewed as the creation of a thesaurus. Apart from this, terrorists and criminals may communicate through letters, e‐mails, and faxes in languages other than English. The translation ambiguity significantly exacerbates the retrieval problem. The problem is expanded to crosslingual semantic interoperability. In this paper, we focus on the English/Chinese crosslingual semantic interoperability problem. However, the developed techniques are not limited to English and Chinese languages but can be applied to many other languages. English and Chinese are popular languages in the Asian region. Much information about national security or crime is communicated in these languages. An efficient automatically generated thesaurus between these languages is important to crosslingual information retrieval between English and Chinese languages. To facilitate crosslingual information retrieval, a corpus‐based approach uses the term co‐occurrence statistics in parallel or comparable corpora to construct a statistical translation model to cross the language boundary. In this paper, the text‐based approach to align English/Chinese Hong Kong Police press release documents from the Web is first presented. We also introduce an algorithmic approach to generate a robust knowledge base based on statistical correlation analysis of the semantics (knowledge) embedded in the bilingual press release corpus. The research output consisted of a thesaurus‐like, semantic network knowledge base, which can aid in semantics‐based crosslingual information management and retrieval." @default.
• W2145687110 created "2016-06-24" @default.
• W2145687110 creator A5072945755 @default.
• W2145687110 creator A5086292931 @default.
• W2145687110 date "2005-01-12" @default.
• W2145687110 modified "2023-09-23" @default.
• W2145687110 title "Automatic crosslingual thesaurus generated from the Hong Kong SAR Police Department Web corpus for crime analysis" @default.
• W2145687110 cites W1576928919 @default.
• W2145687110 cites W2014706780 @default.
• W2145687110 cites W2029234334 @default.
• W2145687110 cites W2100240599 @default.
• W2145687110 cites W2104083439 @default.
• W2145687110 cites W2108535897 @default.
• W2145687110 cites W2112063135 @default.
• W2145687110 cites W2117902070 @default.
• W2145687110 cites W2122141987 @default.
• W2145687110 cites W2141658339 @default.
• W2145687110 cites W2145080939 @default.
• W2145687110 cites W2151561903 @default.
• W2145687110 cites W2154147908 @default.
• W2145687110 cites W2165691108 @default.
• W2145687110 cites W2169480034 @default.
• W2145687110 cites W2170355247 @default.
• W2145687110 cites W2423129 @default.
• W2145687110 cites W4234196574 @default.
• W2145687110 doi "https://doi.org/10.1002/asi.20118" @default.
• W2145687110 hasPublicationYear "2005" @default.
• W2145687110 type Work @default.
• W2145687110 sameAs 2145687110 @default.
• W2145687110 citedByCount "16" @default.
• W2145687110 countsByYear W21456871102015 @default.
• W2145687110 countsByYear W21456871102017 @default.
• W2145687110 crossrefType "journal-article" @default.
• W2145687110 hasAuthorship W2145687110A5072945755 @default.
• W2145687110 hasAuthorship W2145687110A5086292931 @default.
• W2145687110 hasConcept C120665830 @default.
• W2145687110 hasConcept C121332964 @default.
• W2145687110 hasConcept C136764020 @default.
• W2145687110 hasConcept C192209626 @default.
• W2145687110 hasConcept C192800085 @default.
• W2145687110 hasConcept C199360897 @default.
• W2145687110 hasConcept C20136886 @default.
• W2145687110 hasConcept C204321447 @default.
• W2145687110 hasConcept C23123220 @default.
• W2145687110 hasConcept C2778698081 @default.
• W2145687110 hasConcept C2780522230 @default.
• W2145687110 hasConcept C41008148 @default.
• W2145687110 hasConceptScore W2145687110C120665830 @default.
• W2145687110 hasConceptScore W2145687110C121332964 @default.
• W2145687110 hasConceptScore W2145687110C136764020 @default.
• W2145687110 hasConceptScore W2145687110C192209626 @default.
• W2145687110 hasConceptScore W2145687110C192800085 @default.
• W2145687110 hasConceptScore W2145687110C199360897 @default.
• W2145687110 hasConceptScore W2145687110C20136886 @default.
• W2145687110 hasConceptScore W2145687110C204321447 @default.
• W2145687110 hasConceptScore W2145687110C23123220 @default.
• W2145687110 hasConceptScore W2145687110C2778698081 @default.
• W2145687110 hasConceptScore W2145687110C2780522230 @default.
• W2145687110 hasConceptScore W2145687110C41008148 @default.
• W2145687110 hasIssue "3" @default.
• W2145687110 hasLocation W21456871101 @default.
• W2145687110 hasOpenAccess W2145687110 @default.
• W2145687110 hasPrimaryLocation W21456871101 @default.
• W2145687110 hasRelatedWork W132250100 @default.
• W2145687110 hasRelatedWork W1810668079 @default.
• W2145687110 hasRelatedWork W1914586089 @default.
• W2145687110 hasRelatedWork W2086064646 @default.
• W2145687110 hasRelatedWork W2113793689 @default.
• W2145687110 hasRelatedWork W2155790747 @default.
• W2145687110 hasRelatedWork W2181915945 @default.
• W2145687110 hasRelatedWork W2748952813 @default.
• W2145687110 hasRelatedWork W2777168235 @default.
• W2145687110 hasRelatedWork W2983958246 @default.
• W2145687110 hasVolume "56" @default.
• W2145687110 isParatext "false" @default.
• W2145687110 isRetracted "false" @default.
• W2145687110 magId "2145687110" @default.
• W2145687110 workType "article" @default.