-
De Luca, E.W.; Dahlberg, I.: Including knowledge domains from the ICC into the multilingual lexical linked data cloud (2014)
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- Abstract
- A lot of information that is already available on the Web, or retrieved from local information systems and social networks is structured in data silos that are not semantically related. Semantic technologies make it emerge that the use of typed links that directly express their relations are an advantage for every application that can reuse the incorporated knowledge about the data. For this reason, data integration, through reengineering (e.g. triplify), or querying (e.g. D2R) is an important task in order to make information available for everyone. Thus, in order to build a semantic map of the data, we need knowledge about data items itself and the relation between heterogeneous data items. In this paper, we present our work of providing Lexical Linked Data (LLD) through a meta-model that contains all the resources and gives the possibility to retrieve and navigate them from different perspectives. We combine the existing work done on knowledge domains (based on the Information Coding Classification) within the Multilingual Lexical Linked Data Cloud (based on the RDF/OWL EurowordNet and the related integrated lexical resources (MultiWordNet, EuroWordNet, MEMODATA Lexicon, Hamburg Methaphor DB).
- Date
- 22. 9.2014 19:01:18
- Source
- Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik
-
Mitchell, J.S.; Zeng, M.L.; Zumer, M.: Modeling classification systems in multicultural and multilingual contexts (2012)
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- Abstract
- This paper reports on the second part of an initiative of the authors on researching classification systems with the conceptual model defined by the Functional Requirements for Subject Authority Data (FRSAD) final report. In an earlier study, the authors explored whether the FRSAD conceptual model could be extended beyond subject authority data to model classification data. The focus of the current study is to determine if classification data modeled using FRSAD can be used to solve real-world discovery problems in multicultural and multilingual contexts. The paper discusses the relationships between entities (same type or different types) in the context of classification systems that involve multiple translations and /or multicultural implementations. Results of two case studies are presented in detail: (a) two instances of the DDC (DDC 22 in English, and the Swedish-English mixed translation of DDC 22), and (b) Chinese Library Classification. The use cases of conceptual models in practice are also discussed.
-
Gupta, P.; Banchs, R.E.; Rosso, P.: Continuous space models for CLIR (2017)
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- Abstract
- We present and evaluate a novel technique for learning cross-lingual continuous space models to aid cross-language information retrieval (CLIR). Our model, which is referred to as external-data composition neural network (XCNN), is based on a composition function that is implemented on top of a deep neural network that provides a distributed learning framework. Different from most existing models, which rely only on available parallel data for training, our learning framework provides a natural way to exploit monolingual data and its associated relevance metadata for learning continuous space representations of language. Cross-language extensions of the obtained models can then be trained by using a small set of parallel data. This property is very helpful for resource-poor languages, therefore, we carry out experiments on the English-Hindi language pair. On the conducted comparative evaluation, the proposed model is shown to outperform state-of-the-art continuous space models with statistically significant margin on two different tasks: parallel sentence retrieval and ad-hoc retrieval.
- Source
- Information processing and management. 53(2017) no.2, S.359-370
-
Zhou, Y. et al.: Analysing entity context in multilingual Wikipedia to support entity-centric retrieval applications (2016)
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- Date
- 1. 2.2016 18:25:22
- Source
- Semantic keyword-based search on structured data sources: First COST Action IC1302 International KEYSTONE Conference, IKC 2015, Coimbra, Portugal, September 8-9, 2015. Revised Selected Papers. Eds.: J. Cardoso et al
-
Mitchell, J.S.; Zeng, M.L.; Zumer, M.: Modeling classification systems in multicultural and multilingual contexts (2014)
0.04
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- Abstract
- This article reports on the second part of an initiative of the authors on researching classification systems with the conceptual model defined by the Functional Requirements for Subject Authority Data (FRSAD) final report. In an earlier study, the authors explored whether the FRSAD conceptual model could be extended beyond subject authority data to model classification data. The focus of the current study is to determine if classification data modeled using FRSAD can be used to solve real-world discovery problems in multicultural and multilingual contexts. The article discusses the relationships between entities (same type or different types) in the context of classification systems that involve multiple translations and/or multicultural implementations. Results of two case studies are presented in detail: (a) two instances of the Dewey Decimal Classification [DDC] (DDC 22 in English, and the Swedish-English mixed translation of DDC 22), and (b) Chinese Library Classification. The use cases of conceptual models in practice are also discussed.
-
Luca, E.W. de; Dahlberg, I.: ¬Die Multilingual Lexical Linked Data Cloud : eine mögliche Zugangsoptimierung? (2014)
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- Abstract
- Sehr viele Informationen sind bereits im Web verfügbar oder können aus isolierten strukturierten Datenspeichern wie Informationssystemen und sozialen Netzwerken gewonnen werden. Datenintegration durch Nachbearbeitung oder durch Suchmechanismen (z. B. D2R) ist deshalb wichtig, um Informationen allgemein verwendbar zu machen. Semantische Technologien ermöglichen die Verwendung definierter Verbindungen (typisierter Links), durch die ihre Beziehungen zueinander festgehalten werden, was Vorteile für jede Anwendung bietet, die das in Daten enthaltene Wissen wieder verwenden kann. Um eine semantische Daten-Landkarte herzustellen, benötigen wir Wissen über die einzelnen Daten und ihre Beziehung zu anderen Daten. Dieser Beitrag stellt unsere Arbeit zur Benutzung von Lexical Linked Data (LLD) durch ein Meta-Modell vor, das alle Ressourcen enthält und zudem die Möglichkeit bietet sie unter unterschiedlichen Gesichtspunkten aufzufinden. Wir verbinden damit bestehende Arbeiten über Wissensgebiete (basierend auf der Information Coding Classification) mit der Multilingual Lexical Linked Data Cloud (basierend auf der RDF/OWL-Repräsentation von EuroWordNet und den ähnlichen integrierten lexikalischen Ressourcen MultiWordNet, MEMODATA und die Hamburg Metapher DB).
- Date
- 22. 9.2014 19:00:13
-
Frâncu, V.; Sabo, C.-N.: Implementation of a UDC-based multilingual thesaurus in a library catalogue : the case of BiblioPhil (2010)
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- Abstract
- In order to enhance the use of Universal Decimal Classification (UDC) numbers in information retrieval, the authors have represented classification with multilingual thesaurus descriptors and implemented this solution in an automated way. The authors illustrate a solution implemented in a BiblioPhil library system. The standard formats used are UNIMARC for subject authority records (i.e. the UDC-based multilingual thesaurus) and MARC XML support for data transfer. The multilingual thesaurus was built according to existing standards, the constituent parts of the classification notations being used as the basis for search terms in the multilingual information retrieval. The verbal equivalents, descriptors and non-descriptors, are used to expand the number of concepts and are given in Romanian, English and French. This approach saves the time of the indexer and provides more user-friendly and easier access to the bibliographic information. The multilingual aspect of the thesaurus enhances information access for a greater number of online users
- Date
- 22. 7.2010 20:40:56
-
Luca, E.W. de: Extending the linked data cloud with multilingual lexical linked data (2013)
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- Abstract
- A lot of information that is already available on the Web, or retrieved from local information systems and social networks, is structured in data silos that are not semantically related. Semantic technologies make it apparent that the use of typed links that directly express their relations are an advantage for every application that can reuse the incorporated knowledge about the data. For this reason, data integration, through reengineering (e.g., triplify) or querying (e.g., D2R), is an important task in order to make information available for everyone. Thus, in order to build a semantic map of the data, we need knowledge about data items itself and the relation between heterogeneous data items. Here we present our work of providing Lexical Linked Data (LLD) through a meta-model that contains all the resources and gives the possibility to retrieve and navigate them from different perspectives. After giving the definition of Lexical Linked Data, we describe the existing datasets we collected and the new datasets we included. Here we describe their format and show some use cases where we link lexical data, and show how to reuse and inference semantic data derived from lexical data. Different lexical resources (MultiWordNet, EuroWordNet, MEMODATA Lexicon, the Hamburg Methaphor Database) are connected to each other towards an Integrated Vocabulary for LLD that we evaluate and present.
-
Jahns, Y.: Sacherschließung - zeitgemäß und zukunftsfähig (2010)
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- Content
- Vortragende: Patrice Landry (MACS); Helga Karg (CrissCross); Armin Kühn (BibScout); Joachim Neubert (Linked data); Dörte Braune-Egloff u. Ester Scheven (RSWK, SWD); Heidrun Wiesenmüller (LCSH); Guido Bee (DDC Deutsch)
-
Strobel, S.; Marín-Arraiza, P.: Metadata for scientific audiovisual media : current practices and perspectives of the TIB / AV-portal (2015)
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- Abstract
- Descriptive metadata play a key role in finding relevant search results in large amounts of unstructured data. However, current scientific audiovisual media are provided with little metadata, which makes them hard to find, let alone individual sequences. In this paper, the TIB / AV-Portal is presented as a use case where methods concerning the automatic generation of metadata, a semantic search and cross-lingual retrieval (German/English) have already been applied. These methods result in a better discoverability of the scientific audiovisual media hosted in the portal. Text, speech, and image content of the video are automatically indexed by specialised GND (Gemeinsame Normdatei) subject headings. A semantic search is established based on properties of the GND ontology. The cross-lingual retrieval uses English 'translations' that were derived by an ontology mapping (DBpedia i. a.). Further ways of increasing the discoverability and reuse of the metadata are publishing them as Linked Open Data and interlinking them with other data sets.
-
Celli, F. et al.: Enabling multilingual search through controlled vocabularies : the AGRIS approach (2016)
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- Source
- Metadata and semantics research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings. Eds.: E. Garoufallou
-
Baca, M.; Gill, M.: Encoding multilingual knowledge systems in the digital age : the Getty vocabularies (2015)
0.01
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- Abstract
- This paper gives an overview of the history, development, and structure of the electronic thesauri produced and maintained by the Getty Research Institute (GRI). We describe the evolution of the Art & Architecture Thesaurus (AAT®), the Getty Thesaurus of Geographic Names (TGN®), and the Union List of Artist Names (ULAN®) as multilingual, cross-cultural knowledge organization systems (KOS); the factors that make them unique; and their potential, when expressed as Linked Open Data (LOD) to play a key role in the Semantic Web.
-
Wang, J.; Oard, D.W.: Matching meaning for cross-language information retrieval (2012)
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- Source
- Information processing and management. 48(2012) no.4, S.631-653
-
Ludwig, L.: Lösung zum multilingualen Wissensmanagement semantischer Informationen (2010)
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- Source
- Semantic web & linked data: Elemente zukünftiger Informationsinfrastrukturen ; 1. DGI-Konferenz ; 62. Jahrestagung der DGI ; Frankfurt am Main, 7. - 9. Oktober 2010 ; Proceedings / Deutsche Gesellschaft für Informationswissenschaft und Informationspraxis. Hrsg.: M. Ockenfeld
-
Vilares, J.; Alonso, M.A.; Doval, Y.; Vilares, M.: Studying the effect and treatment of misspelled queries in Cross-Language Information Retrieval (2016)
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- Source
- Information processing and management. 52(2016) no.4, S.646-657
-
Flores, F.N.; Moreira, V.P.: Assessing the impact of stemming accuracy on information retrieval : a multilingual perspective (2016)
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- Source
- Information processing and management. 52(2016) no.5, S.840-854
-
Yu, L.-C.; Wu, C.-H.; Chang, R.-Y.; Liu, C.-H.; Hovy, E.H.: Annotation and verification of sense pools in OntoNotes (2010)
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- Information processing and management. 46(2010) no.4, S.436-447
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He, D.; Wu, D.: Enhancing query translation with relevance feedback in translingual information retrieval : a study of the medication process (2011)
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- Information processing and management. 47(2011) no.1, S.1-17
-
Ye, Z.; Huang, J.X.; He, B.; Lin, H.: Mining a multilingual association dictionary from Wikipedia for cross-language information retrieval (2012)
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- Abstract
- Wikipedia is characterized by its dense link structure and a large number of articles in different languages, which make it a notable Web corpus for knowledge extraction and mining, in particular for mining the multilingual associations. In this paper, motivated by a psychological theory of word meaning, we propose a graph-based approach to constructing a cross-language association dictionary (CLAD) from Wikipedia, which can be used in a variety of cross-language accessing and processing applications. In order to evaluate the quality of the mined CLAD, and to demonstrate how the mined CLAD can be used in practice, we explore two different applications of the mined CLAD to cross-language information retrieval (CLIR). First, we use the mined CLAD to conduct cross-language query expansion; and, second, we use it to filter out translation candidates with low translation probabilities. Experimental results on a variety of standard CLIR test collections show that the CLIR retrieval performance can be substantially improved with the above two applications of CLAD, which indicates that the mined CLAD is of sound quality.
-
Tsai, M.-.F.; Chen, H.-H.; Wang, Y.-T.: Learning a merge model for multilingual information retrieval (2011)
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- Source
- Information processing and management. 47(2011) no.5, S.635-646
