-
Cao, N.; Sun, J.; Lin, Y.-R.; Gotz, D.; Liu, S.; Qu, H.: FacetAtlas : Multifaceted visualization for rich text corpora (2010)
0.00
0.0028605436 = product of:
0.020023804 = sum of:
0.0050448296 = weight(_text_:information in 3366) [ClassicSimilarity], result of:
0.0050448296 = score(doc=3366,freq=2.0), product of:
0.052020688 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.029633347 = queryNorm
0.09697737 = fieldWeight in 3366, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0390625 = fieldNorm(doc=3366)
0.014978974 = weight(_text_:retrieval in 3366) [ClassicSimilarity], result of:
0.014978974 = score(doc=3366,freq=2.0), product of:
0.08963835 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.029633347 = queryNorm
0.16710453 = fieldWeight in 3366, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.0390625 = fieldNorm(doc=3366)
0.14285715 = coord(2/14)
- Abstract
- Documents in rich text corpora usually contain multiple facets of information. For example, an article about a specific disease often consists of different facets such as symptom, treatment, cause, diagnosis, prognosis, and prevention. Thus, documents may have different relations based on different facets. Powerful search tools have been developed to help users locate lists of individual documents that are most related to specific keywords. However, there is a lack of effective analysis tools that reveal the multifaceted relations of documents within or cross the document clusters. In this paper, we present FacetAtlas, a multifaceted visualization technique for visually analyzing rich text corpora. FacetAtlas combines search technology with advanced visual analytical tools to convey both global and local patterns simultaneously. We describe several unique aspects of FacetAtlas, including (1) node cliques and multifaceted edges, (2) an optimized density map, and (3) automated opacity pattern enhancement for highlighting visual patterns, (4) interactive context switch between facets. In addition, we demonstrate the power of FacetAtlas through a case study that targets patient education in the health care domain. Our evaluation shows the benefits of this work, especially in support of complex multifaceted data analysis.
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Ru, C.; Tang, J.; Li, S.; Xie, S.; Wang, T.: Using semantic similarity to reduce wrong labels in distant supervision for relation extraction (2018)
0.00
0.0028605436 = product of:
0.020023804 = sum of:
0.0050448296 = weight(_text_:information in 5055) [ClassicSimilarity], result of:
0.0050448296 = score(doc=5055,freq=2.0), product of:
0.052020688 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.029633347 = queryNorm
0.09697737 = fieldWeight in 5055, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0390625 = fieldNorm(doc=5055)
0.014978974 = weight(_text_:retrieval in 5055) [ClassicSimilarity], result of:
0.014978974 = score(doc=5055,freq=2.0), product of:
0.08963835 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.029633347 = queryNorm
0.16710453 = fieldWeight in 5055, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.0390625 = fieldNorm(doc=5055)
0.14285715 = coord(2/14)
- Source
- Information processing and management. 54(2018) no.4, S.593-608
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Neumann. M.: HAL: Hyperspace Analogue to Language (2012)
0.00
0.0025678244 = product of:
0.03594954 = sum of:
0.03594954 = weight(_text_:retrieval in 966) [ClassicSimilarity], result of:
0.03594954 = score(doc=966,freq=2.0), product of:
0.08963835 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.029633347 = queryNorm
0.40105087 = fieldWeight in 966, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.09375 = fieldNorm(doc=966)
0.071428575 = coord(1/14)
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Hu, K.; Luo, Q.; Qi, K.; Yang, S.; Mao, J.; Fu, X.; Zheng, J.; Wu, H.; Guo, Y.; Zhu, Q.: Understanding the topic evolution of scientific literatures like an evolving city : using Google Word2Vec model and spatial autocorrelation analysis (2019)
0.00
0.0025272504 = product of:
0.017690752 = sum of:
0.005707573 = weight(_text_:information in 5102) [ClassicSimilarity], result of:
0.005707573 = score(doc=5102,freq=4.0), product of:
0.052020688 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.029633347 = queryNorm
0.10971737 = fieldWeight in 5102, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.03125 = fieldNorm(doc=5102)
0.0119831795 = weight(_text_:retrieval in 5102) [ClassicSimilarity], result of:
0.0119831795 = score(doc=5102,freq=2.0), product of:
0.08963835 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.029633347 = queryNorm
0.13368362 = fieldWeight in 5102, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.03125 = fieldNorm(doc=5102)
0.14285715 = coord(2/14)
- Abstract
- Topic evolution has been described by many approaches from a macro level to a detail level, by extracting topic dynamics from text in literature and other media types. However, why the evolution happens is less studied. In this paper, we focus on whether and how the keyword semantics can invoke or affect the topic evolution. We assume that the semantic relatedness among the keywords can affect topic popularity during literature surveying and citing process, thus invoking evolution. However, the assumption is needed to be confirmed in an approach that fully considers the semantic interactions among topics. Traditional topic evolution analyses in scientometric domains cannot provide such support because of using limited semantic meanings. To address this problem, we apply the Google Word2Vec, a deep learning language model, to enhance the keywords with more complete semantic information. We further develop the semantic space as an urban geographic space. We analyze the topic evolution geographically using the measures of spatial autocorrelation, as if keywords are the changing lands in an evolving city. The keyword citations (keyword citation counts one when the paper containing this keyword obtains a citation) are used as an indicator of keyword popularity. Using the bibliographical datasets of the geographical natural hazard field, experimental results demonstrate that in some local areas, the popularity of keywords is affecting that of the surrounding keywords. However, there are no significant impacts on the evolution of all keywords. The spatial autocorrelation analysis identifies the interaction patterns (including High-High leading, High-Low suppressing) among the keywords in local areas. This approach can be regarded as an analyzing framework borrowed from geospatial modeling. Moreover, the prediction results in local areas are demonstrated to be more accurate if considering the spatial autocorrelations.
- Source
- Information processing and management. 56(2019) no.4, S.1185-1203
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Gillitzer, B.: Yewno (2017)
0.00
0.0024766277 = product of:
0.017336393 = sum of:
0.0119831795 = weight(_text_:retrieval in 3447) [ClassicSimilarity], result of:
0.0119831795 = score(doc=3447,freq=2.0), product of:
0.08963835 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.029633347 = queryNorm
0.13368362 = fieldWeight in 3447, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.03125 = fieldNorm(doc=3447)
0.0053532133 = product of:
0.016059639 = sum of:
0.016059639 = weight(_text_:22 in 3447) [ClassicSimilarity], result of:
0.016059639 = score(doc=3447,freq=2.0), product of:
0.103770934 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.029633347 = queryNorm
0.15476047 = fieldWeight in 3447, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.03125 = fieldNorm(doc=3447)
0.33333334 = coord(1/3)
0.14285715 = coord(2/14)
- Date
- 22. 2.2017 10:16:49
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Heuss, T.; Humm, B.; Deuschel, T.; Frohlich, T.; Herth, T.; Mitesser, O.: Semantically guided, situation-aware literature research (2015)
0.00
0.0021398535 = product of:
0.029957948 = sum of:
0.029957948 = weight(_text_:retrieval in 2556) [ClassicSimilarity], result of:
0.029957948 = score(doc=2556,freq=2.0), product of:
0.08963835 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.029633347 = queryNorm
0.33420905 = fieldWeight in 2556, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.078125 = fieldNorm(doc=2556)
0.071428575 = coord(1/14)
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Hoppe, T.: Semantische Filterung : ein Werkzeug zur Steigerung der Effizienz im Wissensmanagement (2013)
0.00
0.0017118829 = product of:
0.023966359 = sum of:
0.023966359 = weight(_text_:retrieval in 2245) [ClassicSimilarity], result of:
0.023966359 = score(doc=2245,freq=2.0), product of:
0.08963835 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.029633347 = queryNorm
0.26736724 = fieldWeight in 2245, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.0625 = fieldNorm(doc=2245)
0.071428575 = coord(1/14)
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Gnoli, C.; Santis, R. de; Pusterla, L.: Commerce, see also Rhetoric : cross-discipline relationships as authority data for enhanced retrieval (2015)
0.00
0.001513105 = product of:
0.021183468 = sum of:
0.021183468 = weight(_text_:retrieval in 2299) [ClassicSimilarity], result of:
0.021183468 = score(doc=2299,freq=4.0), product of:
0.08963835 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.029633347 = queryNorm
0.23632148 = fieldWeight in 2299, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.0390625 = fieldNorm(doc=2299)
0.071428575 = coord(1/14)
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Green, R.: See-also relationships in the Dewey Decimal Classification (2011)
0.00
0.0014978976 = product of:
0.020970564 = sum of:
0.020970564 = weight(_text_:retrieval in 4615) [ClassicSimilarity], result of:
0.020970564 = score(doc=4615,freq=2.0), product of:
0.08963835 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.029633347 = queryNorm
0.23394634 = fieldWeight in 4615, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.0546875 = fieldNorm(doc=4615)
0.071428575 = coord(1/14)
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Moreira, W.; Martínez-Ávila, D.: Concept relationships in knowledge organization systems : elements for analysis and common research among fields (2018)
0.00
0.0014978976 = product of:
0.020970564 = sum of:
0.020970564 = weight(_text_:retrieval in 5166) [ClassicSimilarity], result of:
0.020970564 = score(doc=5166,freq=2.0), product of:
0.08963835 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.029633347 = queryNorm
0.23394634 = fieldWeight in 5166, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.0546875 = fieldNorm(doc=5166)
0.071428575 = coord(1/14)
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Bräscher, M.: Semantic relations in knowledge organization systems (2014)
0.00
0.0012839122 = product of:
0.01797477 = sum of:
0.01797477 = weight(_text_:retrieval in 1380) [ClassicSimilarity], result of:
0.01797477 = score(doc=1380,freq=2.0), product of:
0.08963835 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.029633347 = queryNorm
0.20052543 = fieldWeight in 1380, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.046875 = fieldNorm(doc=1380)
0.071428575 = coord(1/14)
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Arenas, M.; Cuenca Grau, B.; Kharlamov, E.; Marciuska, S.; Zheleznyakov, D.: Faceted search over ontology-enhanced RDF data (2014)
0.00
0.0012839122 = product of:
0.01797477 = sum of:
0.01797477 = weight(_text_:retrieval in 2207) [ClassicSimilarity], result of:
0.01797477 = score(doc=2207,freq=2.0), product of:
0.08963835 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.029633347 = queryNorm
0.20052543 = fieldWeight in 2207, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.046875 = fieldNorm(doc=2207)
0.071428575 = coord(1/14)
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Li, N.; Sun, J.: Improving Chinese term association from the linguistic perspective (2017)
0.00
0.0012839122 = product of:
0.01797477 = sum of:
0.01797477 = weight(_text_:retrieval in 3381) [ClassicSimilarity], result of:
0.01797477 = score(doc=3381,freq=2.0), product of:
0.08963835 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.029633347 = queryNorm
0.20052543 = fieldWeight in 3381, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.046875 = fieldNorm(doc=3381)
0.071428575 = coord(1/14)
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Wongthontham, P.; Abu-Salih, B.: Ontology-based approach for semantic data extraction from social big data : state-of-the-art and research directions (2018)
0.00
0.0012839122 = product of:
0.01797477 = sum of:
0.01797477 = weight(_text_:retrieval in 4097) [ClassicSimilarity], result of:
0.01797477 = score(doc=4097,freq=2.0), product of:
0.08963835 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.029633347 = queryNorm
0.20052543 = fieldWeight in 4097, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.046875 = fieldNorm(doc=4097)
0.071428575 = coord(1/14)
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Renker, L.: Exploration von Textkorpora : Topic Models als Grundlage der Interaktion (2015)
0.00
0.0010699268 = product of:
0.014978974 = sum of:
0.014978974 = weight(_text_:retrieval in 2380) [ClassicSimilarity], result of:
0.014978974 = score(doc=2380,freq=2.0), product of:
0.08963835 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.029633347 = queryNorm
0.16710453 = fieldWeight in 2380, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.0390625 = fieldNorm(doc=2380)
0.071428575 = coord(1/14)
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Mandalka, M.: Open semantic search zum unabhängigen und datenschutzfreundlichen Erschliessen von Dokumenten (2015)
0.00
6.419561E-4 = product of:
0.008987385 = sum of:
0.008987385 = weight(_text_:retrieval in 2133) [ClassicSimilarity], result of:
0.008987385 = score(doc=2133,freq=2.0), product of:
0.08963835 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.029633347 = queryNorm
0.10026272 = fieldWeight in 2133, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.0234375 = fieldNorm(doc=2133)
0.071428575 = coord(1/14)
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
