-
Arsenault, C.; Paradis, D.; Riva, P.: Translating RDA into French (2014)
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- Abstract
- This article reports on a joint translation project (France and Canada) of the Resource Description and Access (RDA) standard into French. We describe how the translation committee worked, explain the methodology, and present the measures taken to ensure that all contributing parties be satisfied with the end result. The article discusses problems that arose when dealing with translating specific instructions and examples that needed to be adapted (or changed) to the French context. Other sections report on technical and managerial challenges encountered. We conclude with "lessons learned" that will hopefully help others embarking on such a project.
-
Coyle, K.: Simplicity in data models (2015)
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- Abstract
- Evolving from database models using punch cards, strict linear relational databases and predefined object-oriented data structures, the triple statements underlying Semantic Web technologies bypass many design constraints to offer endless flexibility. Overcoming structure is challenging, especially the relatively recent structure formalized in the Functional Requirements for Bibliographic Records (FRBR). Though geared to easier access and interoperability and recognizing a multilevel bibliographic model, FRBR remains tied to translating entity-relation diagrams to data structures. Resource Description Framework (RDF) provides a more flexible way to express concepts, in which bibliographic models may be thought of as graphs of properties and relationships. But even RDF-based models can undermine that flexibility by mixing concept classes and data structures. The advantage of RDF classes is to provide semantics that enable a user to focus on similarities, not bound by contextual constraints.and success metrics.
-
Zeng, Q.; Yu, M.; Yu, W.; Xiong, J.; Shi, Y.; Jiang, M.: Faceted hierarchy : a new graph type to organize scientific concepts and a construction method (2019)
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- Content
- Vgl.: https%3A%2F%2Faclanthology.org%2FD19-5317.pdf&usg=AOvVaw0ZZFyq5wWTtNTvNkrvjlGA.
-
Suchenwirth, L.: Sacherschliessung in Zeiten von Corona : neue Herausforderungen und Chancen (2019)
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- Footnote
- https%3A%2F%2Fjournals.univie.ac.at%2Findex.php%2Fvoebm%2Farticle%2Fdownload%2F5332%2F5271%2F&usg=AOvVaw2yQdFGHlmOwVls7ANCpTii.
-
Teixera Lopes, C.; Ribeiro, C.: Measuring the value of health query translation : An analysis by user language proficiency (2013)
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- Abstract
- English is by far the most used language on the web. In some domains, the existence of less content in the users' native language may not be problematic and even help to cope with the information overload. Yet, in domains such as health, where information quality is critical, a larger quantity of information may mean easier access to higher quality content. Query translation may be a good strategy to access content in other languages, but the presence of medical terms in health queries makes the translation process more difficult, even for users with very good language proficiencies. In this study, we evaluate how translating a health query affects users with different language proficiencies. We chose English as the non-native language because it is a widely spoken language and it is the most used language on the web. Our findings suggest that non-English-speaking users having at least elementary English proficiency can benefit from a system that suggests English alternatives for their queries, or automatically retrieves English content from a non-English query. This awareness of the user profile results in higher precision, more accurate medical knowledge, and better access to high-quality content. Moreover, the suggestions of English-translated queries may also trigger new health search strategies.
-
Zambak, A.F.: Artificial intelligence as a new metaphysical project (2014)
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- Abstract
- It has been a long-standing philosophical issue whether machines can think or not. In the history of philosophy, this issue is discussed using different types of questions such as 'Is it possible to design intelligent artefacts?', 'Can a mechanistic performance of a machine imitate human intelligence?' or 'Can reasoning be reduced to some kind of calculation?'. The philosophy of artificial intelligence can be considered a modern aspect of these discussions. Artificial intelligence (hereafter AI) is a field of interdisciplinary study that lies at the intersection of cognitive science, linguistics, logic, neuroscience, computer science and psychology. The definition and the goal of AI were specified in the middle of the twentieth century, and the study of AI has developed quickly in a very short period of time. These developments can be observed in certain branches of industry, medicine, education, the military, communication, game playing and translating. Such fields of application of AI comprise its technological aspect. AI also has a scientific aspect that deals with theoretical, methodological and conceptual questions, and the philosophy of AI deals with the latter. The Definition and Aim of AI What is AI? This is not an easy question, and it is not possible to find an exact definition accepted by all AI researchers. AI has various definitions. This variety is caused by divergent views with regard to the aim and scope of AI.
-
Rozinajová, V.; Macko, P.: Using natural language to search linked data (2017)
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- Abstract
- There are many endeavors aiming to offer users more effective ways of getting relevant information from web. One of them is represented by a concept of Linked Data, which provides interconnected data sources. But querying these types of data is difficult not only for the conventional web users but also for ex-perts in this field. Therefore, a more comfortable way of user query would be of great value. One direction could be to allow the user to use a natural language. To make this task easier we have proposed a method for translating natural language query to SPARQL query. It is based on a sentence structure - utilizing dependen-cies between the words in user queries. Dependencies are used to map the query to the semantic web structure, which is in the next step translated to SPARQL query. According to our first experiments we are able to answer a significant group of user queries.
-
Reyes Ayala, B.; Knudson, R.; Chen, J.; Cao, G.; Wang, X.: Metadata records machine translation combining multi-engine outputs with limited parallel data (2018)
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- Abstract
- One way to facilitate Multilingual Information Access (MLIA) for digital libraries is to generate multilingual metadata records by applying Machine Translation (MT) techniques. Current online MT services are available and affordable, but are not always effective for creating multilingual metadata records. In this study, we implemented 3 different MT strategies and evaluated their performance when translating English metadata records to Chinese and Spanish. These strategies included combining MT results from 3 online MT systems (Google, Bing, and Yahoo!) with and without additional linguistic resources, such as manually-generated parallel corpora, and metadata records in the two target languages obtained from international partners. The open-source statistical MT platform Moses was applied to design and implement the three translation strategies. Human evaluation of the MT results using adequacy and fluency demonstrated that two of the strategies produced higher quality translations than individual online MT systems for both languages. Especially, adding small, manually-generated parallel corpora of metadata records significantly improved translation performance. Our study suggested an effective and efficient MT approach for providing multilingual services for digital collections.
-
Ma, X.; Carranza, E.J.M.; Wu, C.; Meer, F.D. van der; Liu, G.: ¬A SKOS-based multilingual thesaurus of geological time scale for interoperability of online geological maps (2011)
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- Content
- Article Outline 1. Introduction 2. SKOS-based multilingual thesaurus of geological time scale 2.1. Addressing the insufficiency of SKOS in the context of the Semantic Web 2.2. Addressing semantics and syntax/lexicon in multilingual GTS terms 2.3. Extending SKOS model to capture GTS structure 2.4. Summary of building the SKOS-based MLTGTS 3. Recognizing and translating GTS terms retrieved from WMS 4. Pilot system, results, and evaluation 5. Discussion 6. Conclusions Vgl. unter: http://www.sciencedirect.com/science?_ob=MiamiImageURL&_cid=271720&_user=3865853&_pii=S0098300411000744&_check=y&_origin=&_coverDate=31-Oct-2011&view=c&wchp=dGLbVlt-zSkzS&_valck=1&md5=e2c1daf53df72d034d22278212578f42&ie=/sdarticle.pdf.
-
Schöne neue Welt? : Fragen und Antworten: Wie Facebook menschliche Gedanken auslesen will (2017)
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- Date
- 22. 7.2004 9:42:33
22. 4.2017 11:58:05
-
Wolchover, N.: Wie ein Aufsehen erregender Beweis kaum Beachtung fand (2017)
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- Date
- 22. 4.2017 10:42:05
22. 4.2017 10:48:38
-
Poscher, R.: ¬Die Zukunft der informationellen Selbstbestimmung als Recht auf Abwehr von Grundrechtsgefährdungen (2012)
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- Date
- 22. 2.2018 12:06:44
22. 2.2018 12:13:53
-
Cronin, B.: Thinking about data (2013)
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- Date
- 22. 3.2013 16:18:36
-
Grudin, J.: Human-computer interaction (2011)
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- Date
- 27.12.2014 18:54:22
-
Williamson, N.J.: Classification issues in 2011 : report (2012)
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- Date
- 22. 1.2012 13:17:00
-
Cronin, B.: ¬The writing on the wall (2015)
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- Date
- 26. 4.2015 19:27:22
-
Deisseroth, K.: Lichtschalter im Gehirn (2011)
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- Source
- Spektrum der Wissenschaft. 2011, H.2, S.22-29
-
Xiao, G.: ¬A knowledge classification model based on the relationship between science and human needs (2013)
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- Date
- 22. 2.2013 12:36:34
-
Szostak, R.: Speaking truth to power in classification : response to Fox's review of my work; KO 39:4, 300 (2013)
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- Date
- 22. 2.2013 12:35:05
-
Marx, W.; Bornmann, L.: On the problems of dealing with bibliometric data (2014)
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- Date
- 18. 3.2014 19:13:22
