-
Burghardt, M.; Hertlein, F.; Hinterleitner, B.; Lehenmeier, C.; Spröd, T.: ¬A crowdsourced approach for the documentation and transcription of graffiti in public restrooms (2015)
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- Date
- 6. 6.2016 18:42:22
- Source
- Re:inventing information science in the networked society: Proceedings of the 14th International Symposium on Information Science, Zadar/Croatia, 19th-21st May 2015. Eds.: F. Pehar, C. Schloegl u. C. Wolff
-
Guidi, F.; Sacerdoti Coen, C.: ¬A survey on retrieval of mathematical knowledge (2015)
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- Date
- 22. 2.2017 12:51:57
-
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
-
Assem, M. van; Rijgersberg, H.; Wigham, M.; Top, J.: Converting and annotating quantitative data tables (2010)
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- Abstract
- Companies, governmental agencies and scientists produce a large amount of quantitative (research) data, consisting of measurements ranging from e.g. the surface temperatures of an ocean to the viscosity of a sample of mayonnaise. Such measurements are stored in tables in e.g. spreadsheet files and research reports. To integrate and reuse such data, it is necessary to have a semantic description of the data. However, the notation used is often ambiguous, making automatic interpretation and conversion to RDF or other suitable format diffiult. For example, the table header cell "f(Hz)" refers to frequency measured in Hertz, but the symbol "f" can also refer to the unit farad or the quantities force or luminous flux. Current annotation tools for this task either work on less ambiguous data or perform a more limited task. We introduce new disambiguation strategies based on an ontology, which allows to improve performance on "sloppy" datasets not yet targeted by existing systems.
- Source
- The Semantic Web - ISWC 2010. 9th International Semantic Web Conference, ISWC 2010, Shanghai, China, November 7-11, 2010, Revised Selected Papers, Part I. Eds.: Peter F. Patel-Schneider et al
-
Li, J.; Shi, D.: Sleeping beauties in genius work : when were they awakened? (2016)
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- Abstract
- "Genius work," proposed by Avramescu, refers to scientific articles whose citations grow exponentially in an extended period, for example, over 50 years. Such articles were defined as "sleeping beauties" by van Raan, who quantitatively studied the phenomenon of delayed recognition. However, the criteria adopted by van Raan at times are not applicable and may confer recognition prematurely. To revise such deficiencies, this paper proposes two new criteria, which are applicable (but not limited) to exponential citation curves. We searched for genius work among articles of Nobel Prize laureates during the period of 1901-2012 on the Web of Science, finding 25 articles of genius work out of 21,438 papers including 10 (by van Raan's criteria) sleeping beauties and 15 nonsleeping-beauties. By our new criteria, two findings were obtained through empirical analysis: (a) the awakening periods for genius work depend on the increase rate b in the exponential function, and (b) lower b leads to a longer sleeping period.
- Date
- 22. 1.2016 14:13:32
-
Heuvel, C. van den: Multidimensional classifications : past and future conceptualizations and visualizations (2012)
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- Content
- This paper is an adaptation and augmented version of a paper presented at the NASKO 2011 conference: Charles van den Heuvel. 2011. Multidimensional classifications: Past and future conceptualizations and visualizations. In Smiraglia, Richard P., ed. Proceedings from North American Symposium on Knowledge Organization, Vol. 3. Toronto, Canada, pp. 105-21. Vgl.: http://www.ergon-verlag.de/isko_ko/downloads/ko_39_2012_6_e.pdf.
- Date
- 22. 2.2013 11:31:25
-
Sluis, F. van der; Broek, E.L. van den; Glassey, R.J.; Dijk, E.M.A.G.; Jong, F.M.G.de: When complexity becomes interesting (2014)
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-
Thelwall, M.: Assessing web search engines : a webometric approach (2011)
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- Abstract
- Information Retrieval (IR) research typically evaluates search systems in terms of the standard precision, recall and F-measures to weight the relative importance of precision and recall (e.g. van Rijsbergen, 1979). All of these assess the extent to which the system returns good matches for a query. In contrast, webometric measures are designed specifically for web search engines and are designed to monitor changes in results over time and various aspects of the internal logic of the way in which search engine select the results to be returned. This chapter introduces a range of webometric measurements and illustrates them with case studies of Google, Bing and Yahoo! This is a very fertile area for simple and complex new investigations into search engine results.
-
Berti, Jr., D.W.; Lima, G.; Maculan, B.; Soergel, D.: Computer-assisted checking of conceptual relationships in a large thesaurus (2018)
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- Date
- 17. 1.2019 19:04:22
- Source
- Challenges and opportunities for knowledge organization in the digital age: proceedings of the Fifteenth International ISKO Conference, 9-11 July 2018, Porto, Portugal / organized by: International Society for Knowledge Organization (ISKO), ISKO Spain and Portugal Chapter, University of Porto - Faculty of Arts and Humanities, Research Centre in Communication, Information and Digital Culture (CIC.digital) - Porto. Eds.: F. Ribeiro u. M.E. Cerveira
-
Larouk, O.; El Hachani, M.: Reorganization of knowledge in technical documents for the information system : the extraction of logico-cognitive information from heterogeneous administrative data (2018)
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- Date
- 18. 1.2019 17:22:28
- Source
- Challenges and opportunities for knowledge organization in the digital age: proceedings of the Fifteenth International ISKO Conference, 9-11 July 2018, Porto, Portugal / organized by: International Society for Knowledge Organization (ISKO), ISKO Spain and Portugal Chapter, University of Porto - Faculty of Arts and Humanities, Research Centre in Communication, Information and Digital Culture (CIC.digital) - Porto. Eds.: F. Ribeiro u. M.E. Cerveira
-
Alves dos Santos, E.; Mucheroni, M.L.: VIAF and OpenCitations : cooperative work as a strategy for information organization in the linked data era (2018)
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- Date
- 18. 1.2019 19:13:22
- Source
- Challenges and opportunities for knowledge organization in the digital age: proceedings of the Fifteenth International ISKO Conference, 9-11 July 2018, Porto, Portugal / organized by: International Society for Knowledge Organization (ISKO), ISKO Spain and Portugal Chapter, University of Porto - Faculty of Arts and Humanities, Research Centre in Communication, Information and Digital Culture (CIC.digital) - Porto. Eds.: F. Ribeiro u. M.E. Cerveira
-
Moreiro-González, J.A.; Ortiz-Repiso, V.: What is happening about KOS in Spain : scientific production analysis, 2000-2017 (2018)
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- Date
- 19. 1.2019 14:22:24
- Source
- Challenges and opportunities for knowledge organization in the digital age: proceedings of the Fifteenth International ISKO Conference, 9-11 July 2018, Porto, Portugal / organized by: International Society for Knowledge Organization (ISKO), ISKO Spain and Portugal Chapter, University of Porto - Faculty of Arts and Humanities, Research Centre in Communication, Information and Digital Culture (CIC.digital) - Porto. Eds.: F. Ribeiro u. M.E. Cerveira
-
Iorio, A.D.; Peroni, S.; Poggi, F.; Vitali, F.: Dealing with structural patterns of XML documents (2014)
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- Date
- 22. 8.2014 17:08:49
-
Mazzucchelli, A.; Sartori , F.: String similarity in CBR platforms : a preliminary study (2014)
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- Pages
- S.22-29
-
Oguz, F.; Koehler, W.: URL decay at year 20 : a research note (2016)
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- Date
- 22. 1.2016 14:37:14
-
Classification and ontology: formal approaches and access to knowledge : proceedings of the International UDC Seminar, 19-20 September 2011, The Hague, The Netherlands (2011)
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- Content
- Inhalt: Patrick Hayes: On being the same: keynote address 1. The role of classification and ontology on the Web Dan Brickley: Classification, collaboration and the Web of data - Guus Schreiber: Issues in publishing and aligning Web vocabularies - Thomas Baker: The concepts of knowledge organization systems as hubs in the Web of data 2. Classifications and ontologies on their own terms Barbara H. Kwasnik: Approaches to providing context in knowledge representation structures - Richard Smiraglia; Charles van den Heuvel; Thomas M. Dousa: Interactions between elementary structures in universes of knowledge - Emad Khazraee; Xia Lin: Demystifying ontology 3. Classification meets the Web Daniel Kless; Jutta Lindenthal; Simon Milton; Edmund Kazmierczak: Interoperability of knowledge organization systems with and through ontologies - Vincenzo Maltese; Feroz Farazi: Towards the integration of knowledge organization systems with the linked data cloud - Maria Rüther; Joachim Fock; Thomas Schultz-Krutisch; Thomas Bandholtz: Classification and reference vocabulary in linked environment data
4. Classification and ontology in specific subjects Andrew Buxton: Ontologies and classification of chemicals: can they help each other? - Wolfram Sperber; Patrick D. F. Ion: Content analysis and classification in mathematics 5. Categories and relations: key elements of ontologies Roberto Poli: Ontology as categorial analysis - Dagobert Soergel: Towards a relation ontology for the Semantic Web - Rebecca Green; Michael Panzer: Relations in the notational hierarchy of the Dewey Decimal Classification 6. Modelling concepts and structures in analytico-synthetic classifications Ingetraut Dahlberg: A faceted classification of general concepts - Claudio Gnoli; Philippe Cousson; Tom Pullman; Gabriele Merli; Rick Szostak: Representing the structural elements of a freely faceted classification - Vanda Broughton: Facet analysis as a tool for modelling subject domains and terminologies - Devika P. Madalli; A. R. D. Prasad: Analytico synthetic approach for handling knowledge diversity in media content analysis
7. Transforming and extending classification systems Joan S. Mitchell; Marcia Lei Zeng; Maja Zumer: Extending models for controlled vocabularies to classification systems: modelling DDC with FRSAD - Fran Alexander; Andy Heather: Transformation of a legacy UDC-based classification system: exploiting and remodelling semantic relationships - Posters - Short papers Andrea Scharnhorst; Almila Akdag Salah; Krzysztof Suchecki; Cheng Gao; Richard P. Smiraglia: The evolution of knowledge, and its representation in classification systems - Charles van den Heuvel; Almila Akdag Salah; Knowledge Space Lab: Visualizing universes of knowledge: designs and visual analysis of the UDC - Ricardo Eito-Brun; Alfredo Calosci: UDC as a knowledge framework for building a civil engineering ontology: a practical approach to knowledge representation and visualization
-
Concepts in Context : Proceedings of the Cologne Conference on Interoperability and Semantics in Knowledge Organization July 19th - 20th, 2010 (2011)
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- Date
- 22. 2.2013 11:34:18
- Editor
- Boteram, F.
- Footnote
- Rez. in: ZfBB 59(2012) H.2, S.119-120 (F. Förster); KO 39(2012) no.6, S.461-463 (I. Dahlberg)
-
Kiren, T.; Shoaib, M.: ¬A novel ontology matching approach using key concepts (2016)
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- Abstract
- Purpose Ontologies are used to formally describe the concepts within a domain in a machine-understandable way. Matching of heterogeneous ontologies is often essential for many applications like semantic annotation, query answering or ontology integration. Some ontologies may include a large number of entities which make the ontology matching process very complex in terms of the search space and execution time requirements. The purpose of this paper is to present a technique for finding degree of similarity between ontologies that trims down the search space by eliminating the ontology concepts that have less likelihood of being matched. Design/methodology/approach Algorithms are written for finding key concepts, concept matching and relationship matching. WordNet is used for solving synonym problems during the matching process. The technique is evaluated using the reference alignments between ontologies from ontology alignment evaluation initiative benchmark in terms of degree of similarity, Pearson's correlation coefficient and IR measures precision, recall and F-measure. Findings Positive correlation between the degree of similarity and degree of similarity (reference alignment) and computed values of precision, recall and F-measure showed that if only key concepts of ontologies are compared, a time and search space efficient ontology matching system can be developed. Originality/value On the basis of the present novel approach for ontology matching, it is concluded that using key concepts for ontology matching gives comparable results in reduced time and space.
- Date
- 20. 1.2015 18:30:22
-
Boteram, F.; Hubrich, J.: Specifying intersystem relations : requirements, strategies, and issues (2010)
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- Date
- 22. 7.2010 17:11:51
-
Paradigms and conceptual systems in knowledge organization : Proceedings of the Eleventh International ISKO Conference, 23-26 February 2010 Rome, Italy (2010)
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- Date
- 22. 2.2013 12:09:34
- Editor
- Gnoli, C. u. F. Mazzocchi
