-
Thelwall, M.; Buckley, K.; Paltoglou, G.; Cai, D.; Kappas, A.: Sentiment strength detection in short informal text (2010)
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- Date
- 22. 1.2011 14:29:23
- Footnote
- Vgl. auch das Erratum in: Journal of the American Society for Information Science and Technology. 62(2011) no.2, S.419
- Source
- Journal of the American Society for Information Science and Technology. 61(2010) no.12, S.2544-2558
-
Mahesh, K.: Highly expressive tagging for knowledge organization in the 21st century (2014)
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- Abstract
- Knowledge organization of large-scale content on the Web requires substantial amounts of semantic metadata that is expensive to generate manually. Recent developments in Web technologies have enabled any user to tag documents and other forms of content thereby generating metadata that could help organize knowledge. However, merely adding one or more tags to a document is highly inadequate to capture the aboutness of the document and thereby to support powerful semantic functions such as automatic classification, question answering or true semantic search and retrieval. This is true even when the tags used are labels from a well-designed classification system such as a thesaurus or taxonomy. There is a strong need to develop a semantic tagging mechanism with sufficient expressive power to capture the aboutness of each part of a document or dataset or multimedia content in order to enable applications that can benefit from knowledge organization on the Web. This article proposes a highly expressive mechanism of using ontology snippets as semantic tags that map portions of a document or a part of a dataset or a segment of a multimedia content to concepts and relations in an ontology of the domain(s) of interest.
- Pages
- S.274-280
- 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
-
Tang, K.-H.; Tsai, L.-C.; Hwang, S.-L.: ¬The development and validation of a one-bit comparison for evaluating the maturity of tag distributions in a Web 2.0 environment (2016)
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- Date
- 7. 5.2016 20:13:22
- Source
- Journal of the Association for Information Science and Technology. 67(2016) no.6, S.1430-1445
-
Eckert, K.: SKOS: eine Sprache für die Übertragung von Thesauri ins Semantic Web (2011)
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- Date
- 15. 3.2011 19:21:22
-
Köttke, K.: Kansste getrost vergessen : Wer sich auf digitale Informationssysteme verlässt, setzt kognitive Fähigkeiten frei (2019)
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- Date
- 13. 2.2019 9:22:14
-
Liu, D.-R.; Shih, M.-J.: Hybrid-patent classification based on patent-network analysis (2011)
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- Abstract
- Effective patent management is essential for organizations to maintain their competitive advantage. The classification of patents is a critical part of patent management and industrial analysis. This study proposes a hybrid-patent-classification approach that combines a novel patent-network-based classification method with three conventional classification methods to analyze query patents and predict their classes. The novel patent network contains various types of nodes that represent different features extracted from patent documents. The nodes are connected based on the relationship metrics derived from the patent metadata. The proposed classification method predicts a query patent's class by analyzing all reachable nodes in the patent network and calculating their relevance to the query patent. It then classifies the query patent with a modified k-nearest neighbor classifier. To further improve the approach, we combine it with content-based, citation-based, and metadata-based classification methods to develop a hybrid-classification approach. We evaluate the performance of the hybrid approach on a test dataset of patent documents obtained from the U.S. Patent and Trademark Office, and compare its performance with that of the three conventional methods. The results demonstrate that the proposed patent-network-based approach yields more accurate class predictions than the patent network-based approach.
- Date
- 22. 1.2011 13:04:21
- Source
- Journal of the American Society for Information Science and Technology. 62(2011) no.2, S.246-256
-
Yi, K.: Harnessing collective intelligence in social tagging using Delicious (2012)
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- Date
- 25.12.2012 15:22:37
- Source
- Journal of the American Society for Information Science and Technology. 63(2012) no.12, S.2488-2502
-
Khoo, C.S.G.; Teng, T.B.-R.; Ng, H.-C.; Wong, K.-P.: Developing a taxonomy to support user browsing and learning in a digital heritage portal with crowd-sourced content (2014)
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- Pages
- S.266-273
- 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
-
Li, X.; Thelwall, M.; Kousha, K.: ¬The role of arXiv, RePEc, SSRN and PMC in formal scholarly communication (2015)
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- Date
- 20. 1.2015 18:30:22
- Source
- Aslib journal of information management. 67(2015) no.6, S.614-635
-
Isah, E.E.; Byström, K.: Physicians' learning at work through everyday access to information (2016)
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- Date
- 22. 1.2016 12:31:37
- Source
- Journal of the Association for Information Science and Technology. 67(2016) no.2, S.318-332
-
Coyle, K.: FRBR, before and after : a look at our bibliographic models (2016)
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- Date
- 12. 2.2016 16:22:58
- Pages
- xv, 179 S
-
Balakrishnan, V.; Ahmadi, K.; Ravana, S.D.: Improving retrieval relevance using users' explicit feedback (2016)
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- Date
- 20. 1.2015 18:30:22
- Source
- Aslib journal of information management. 68(2016) no.1, S.76-98
-
Wu, K.-C.; Hsieh, T.-Y.: Affective choosing of clustering and categorization representations in e-book interfaces (2016)
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- Date
- 20. 1.2015 18:30:22
- Source
- Aslib journal of information management. 68(2016) no.3, S.265-285
-
Osatuyi, B.; Hiltz, S.R.; Passerini, K.: Seeing is believing (or at least changing your mind) : the influence of visibility and task complexity on preference changes in computer-supported team decision making (2016)
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- Abstract
- This article describes an experimental study that examines the extent to which a group decision support system (GDSS), which allows team members to view other members' preference ratings, can encourage changes in individual preferences. We studied 22, four-person teams performing 2 hidden profile tasks-simple and complex-in a controlled setting. Transparency of the interactions, achieved through the visibility of ratings, influenced changes in participants' preferences as measured before, during and after the team discussion. Visibility of team scores could then offer an effective way to reach consensus, despite individual incumbent preferences. Changes between individuals' initial preferences and team preferences were found to be larger for members working on a complex task compared to a simple task, as were changes between individuals' prediscussion and postdiscussion preferences. Although prior studies established that the initial preferences of individual team members are rather sticky, this study reveals that individuals adjusted their initial preferences to reach a team consensus, as well as modified their preferences after team discussions. Despite the mixed earlier research results on the impact of GDSS on efficient decision making, findings from this study suggest that in complex decision-making contexts, GDSS tools can be effective in enabling consensus building in groups.
- Source
- Journal of the Association for Information Science and Technology. 67(2016) no.9, S.2090-2104
-
Song, M.; Kang, K.; An, J.Y.: Investigating drug-disease interactions in drug-symptom-disease triples via citation relations (2018)
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- Date
- 1.11.2018 18:19:22
- Source
- Journal of the Association for Information Science and Technology. 69(2018) no.11, S.1355-1368
-
Li, L.; He, D.; Zhang, C.; Geng, L.; Zhang, K.: Characterizing peer-judged answer quality on academic Q&A sites : a cross-disciplinary case study on ResearchGate (2018)
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- Date
- 20. 1.2015 18:30:22
- Source
- Aslib journal of information management. 70(2018) no.3, S.269-287
-
Albright, K.: Multidisciplinarity in information behavior : expanding boundaries or fragmentation of the field? (2010)
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- Date
- 16. 3.2019 17:32:22
- Source
- Libri. 60(2010) no.2, S.98-106
-
Weilenmann, A.-K.: Facetten offener Wissenschaft (2015)
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- Source
- Information - Wissenschaft und Praxis. 66(2015) H.2/3, S.99-101
-
Järvelin, K.: Evaluation (2011)
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- Pages
- S.113-138
-
LaBarre, K.: Facet analysis (2010)
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- Source
- Annual review of information science and technology. 44(2010) no.1, S.243-284
