Search (3 results, page 1 of 1)

0.0128089925 = product of:
  0.07685395 = sum of:
    0.07685395 = weight(_text_:problem in 3391) [ClassicSimilarity], result of:
      0.07685395 = score(doc=3391,freq=8.0), product of:
        0.20485485 = queryWeight, product of:
          4.244485 = idf(docFreq=1723, maxDocs=44218)
          0.04826377 = queryNorm
        0.375163 = fieldWeight in 3391, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          4.244485 = idf(docFreq=1723, maxDocs=44218)
          0.03125 = fieldNorm(doc=3391)
  0.16666667 = coord(1/6)

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 an 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 an 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 an 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 semanticsbased crosslingual information management and retrieval.

0.011321658 = product of:
  0.067929946 = sum of:
    0.067929946 = weight(_text_:problem in 5902) [ClassicSimilarity], result of:
      0.067929946 = score(doc=5902,freq=4.0), product of:
        0.20485485 = queryWeight, product of:
          4.244485 = idf(docFreq=1723, maxDocs=44218)
          0.04826377 = queryNorm
        0.33160037 = fieldWeight in 5902, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          4.244485 = idf(docFreq=1723, maxDocs=44218)
          0.0390625 = fieldNorm(doc=5902)
  0.16666667 = coord(1/6)

Abstract

With networked information access to heterogeneous data sources, the problem of terminology provision and interoperability of controlled vocabulary schemes such as thesauri becomes increasingly urgent. Solutions are needed to improve the performance of full-text retrieval systems and to guide the design of controlled terminology schemes for use in structured data, including metadata. Thesauri are created in different languages, with different scope and points of view and at different levels of abstraction and detail, to accomodate access to a specific group of collections. In any wider search accessing distributed collections, the user would like to start with familiar terminology and let the system find out the correspondences to other terminologies in order to retrieve equivalent results from all addressed collections. This paper investigates possible semantic differences that may hinder the unambiguous mapping and transition from one thesaurus to another. It focusses on the differences of meaning of terms and their relations as intended by their creators for indexing and querying a specific collection, in contrast to methods investigating the statistical relevance of terms for objects in a collection. It develops a notion of optimal mapping, paying particular attention to the intellectual quality of mappings between terms from different vocabularies and to problems of polysemy. Proposals are made to limit the vagueness introduced by the transition from one vocabulary to another. The paper shows ways in which thesaurus creators can improve their methodology to meet the challenges of networked access of distributed collections created under varying conditions. For system implementers, the discussion will lead to a better understanding of the complexity of the problem

0.011321658 = product of:
  0.067929946 = sum of:
    0.067929946 = weight(_text_:problem in 3308) [ClassicSimilarity], result of:
      0.067929946 = score(doc=3308,freq=4.0), product of:
        0.20485485 = queryWeight, product of:
          4.244485 = idf(docFreq=1723, maxDocs=44218)
          0.04826377 = queryNorm
        0.33160037 = fieldWeight in 3308, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          4.244485 = idf(docFreq=1723, maxDocs=44218)
          0.0390625 = fieldNorm(doc=3308)
  0.16666667 = coord(1/6)

Abstract

Das Problem der mehrsprachigen Suche gewinnt in der letzten Zeit immer mehr an Bedeutung, da viele nützliche Fachinformationen in der Welt in verschiedenen Sprachen publiziert werden. RSWBPlus ist eine bibliographische Datenbank zum Nachweis der Fachliteratur im Bereich Planen und Bauen, welche deutsch- und englischsprachige Metadaten-Einträge enthält. Bis vor Kurzem war es problematisch Einträge zu finden, deren Sprache sich von der Anfragesprache unterschied. Zum Beispiel fand man auf deutschsprachige Anfragen nur deutschsprachige Einträge, obwohl die Datenbank auch potenziell nützliche englischsprachige Einträge enthielt. Um das Problem zu lösen, wurde nach einer Untersuchung bestehender Ansätze, die RSWBPlus weiterentwickelt, um eine mehrsprachige (sprachübergreifende) Suche zu unterstützen, welche unter Einbeziehung eines zweisprachigen begriffbasierten Thesaurus erfolgt. Der Thesaurus wurde aus bereits bestehenden Thesauri automatisch gebildet. Die Einträge der Quell-Thesauri wurden in SKOS-Format (Simple Knowledge Organisation System) umgewandelt, automatisch miteinander vereinigt und schließlich in einen Ziel-Thesaurus eingespielt, der ebenfalls in SKOS geführt wird. Für den Zugriff zum Ziel-Thesaurus werden Apache Jena und MS SQL Server verwendet. Bei der mehrsprachigen Suche werden Terme der Anfrage durch entsprechende Übersetzungen und Synonyme in Deutsch und Englisch erweitert. Die Erweiterung der Suchterme kann sowohl in der Laufzeit, als auch halbautomatisch erfolgen. Das verbesserte Recherchesystem kann insbesondere deutschsprachigen Benutzern helfen, relevante englischsprachige Einträge zu finden. Die Verwendung vom SKOS erhöht die Interoperabilität der Thesauri, vereinfacht das Bilden des Ziel-Thesaurus und den Zugriff zu seinen Einträgen.