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Naudet, Y.; Latour, T.; Chen, D.: ¬A Systemic approach to Interoperability formalization (2009)
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Krötzsch, M.; Hitzler, P.; Ehrig, M.; Sure, Y.: Category theory in ontology research : concrete gain from an abstract approach (2004 (?))
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Li, K.W.; Yang, C.C.: Automatic crosslingual thesaurus generated from the Hong Kong SAR Police Department Web Corpus for Crime Analysis (2005)
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- 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.
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Doerr, M.: Semantic problems of thesaurus mapping (2001)
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Krause, J.: Shell Model, Semantic Web and Web Information Retrieval (2006)
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Krause, J.: Heterogenität und Integration : Zur Weiterentwicklung von Inhaltserschließung und Retrieval in sich veränderten Kontexten (2001)
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- Abstract
- As an important support tool in science research, specialized information systems are rapidly changing their character. The potential for improvement compared with today's usual systems is enormous. This fact will be demonstrated by means of two problem complexes: - WWW search engines, which were developed without any government grants, are increasingly dominating the scene. Does the WWW displace information centers with their high quality databases? What are the results we can get nowadays using general WWW search engines? - In addition to the WWW and specialized databases, scientists now use WWW library catalogues of digital libraries, which combine the catalogues from an entire region or a country. At the same time, however, they are faced with highly decentralized heterogeneous databases which contain the widest range of textual sources and data, e.g. from surveys. One consequence is the presence of serious inconsistencies in quality, relevance and content analysis. Thus, the main problem to be solved is as follows: users must be supplied with heterogeneous data from different sources, modalities and content development processes via a visual user interface without inconsistencies in content development, for example, seriously impairing the quality of the search results, e. g. when phrasing their search inquiry in the terminology to which they are accustomed
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Park, J.-r.: Semantic interoperability and metadata quality : an analysis of metadata item records of digital image collections (2006)
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Kim, J.-M.; Shin, H.; Kim, H.-J.: Schema and constraints-based matching and merging of Topic Maps (2007)
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Semenova, E.; Stricker, M.: ¬Eine Ontologie der Wissenschaftsdisziplinen : Entwicklung eines Instrumentariums für die Wissenskommunikation (2007)
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Krause, J.: Semantic heterogeneity : comparing new semantic web approaches with those of digital libraries (2008)
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Mayr, P.; Mutschke, P.; Petras, V.: Reducing semantic complexity in distributed digital libraries : Treatment of term vagueness and document re-ranking (2008)
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Burstein, M.; McDermott, D.V.: Ontology translation for interoperability among Semantic Web services (2005)
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Nicholson, D.: Help us make HILT's terminology services useful in your information service (2008)
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Veltman, K.H.: Syntactic and semantic interoperability : new approaches to knowledge and the Semantic Web (2001)
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Wake, S.; Nicholson, D.: HILT: High-Level Thesaurus Project : building consensus for interoperable subject access across communities (2001)
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Tudhope, D.; Binding, C.: Toward terminology services : experiences with a pilot Web service thesaurus browser (2006)
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Tennis, J.T.: Versioning concept schemes for persistent retrieval (2006)
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Isaac, A.; Schlobach, S.; Matthezing, H.; Zinn, C.: Integrated access to cultural heritage resources through representation and alignment of controlled vocabularies (2008)
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