-
Gödert, W.; Hubrich, J.; Nagelschmidt, M.: Semantic knowledge representation for information retrieval (2014)
0.01
0.014294551 = product of:
0.0667079 = sum of:
0.01736237 = weight(_text_:information in 987) [ClassicSimilarity], result of:
0.01736237 = score(doc=987,freq=24.0), product of:
0.04306919 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.02453417 = queryNorm
0.40312737 = fieldWeight in 987, product of:
4.8989797 = tf(freq=24.0), with freq of:
24.0 = termFreq=24.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.046875 = fieldNorm(doc=987)
0.03937341 = weight(_text_:retrieval in 987) [ClassicSimilarity], result of:
0.03937341 = score(doc=987,freq=14.0), product of:
0.07421378 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.02453417 = queryNorm
0.5305404 = fieldWeight in 987, product of:
3.7416575 = tf(freq=14.0), with freq of:
14.0 = termFreq=14.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.046875 = fieldNorm(doc=987)
0.009972124 = product of:
0.019944249 = sum of:
0.019944249 = weight(_text_:22 in 987) [ClassicSimilarity], result of:
0.019944249 = score(doc=987,freq=2.0), product of:
0.085914485 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.02453417 = queryNorm
0.23214069 = fieldWeight in 987, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.046875 = fieldNorm(doc=987)
0.5 = coord(1/2)
0.21428572 = coord(3/14)
- Abstract
- This book covers the basics of semantic web technologies and indexing languages, and describes their contribution to improve languages as a tool for subject queries and knowledge exploration. The book is relevant to information scientists, knowledge workers and indexers. It provides a suitable combination of theoretical foundations and practical applications.
- Content
- Introduction: envisioning semantic information spacesIndexing and knowledge organization -- Semantic technologies for knowledge representation -- Information retrieval and knowledge exploration -- Approaches to handle heterogeneity -- Problems with establishing semantic interoperability -- Formalization in indexing languages -- Typification of semantic relations -- Inferences in retrieval processes -- Semantic interoperability and inferences -- Remaining research questions.
- Date
- 23. 7.2017 13:49:22
- LCSH
- Information retrieval
Knowledge representation (Information theory)
Information organization
- RSWK
- Information Retrieval
- Subject
- Information retrieval
Knowledge representation (Information theory)
Information organization
Information Retrieval
-
Gödert, W.: ¬An ontology-based model for indexing and retrieval (2013)
0.01
0.007293084 = product of:
0.051051587 = sum of:
0.006682779 = weight(_text_:information in 1510) [ClassicSimilarity], result of:
0.006682779 = score(doc=1510,freq=2.0), product of:
0.04306919 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.02453417 = queryNorm
0.1551638 = fieldWeight in 1510, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0625 = fieldNorm(doc=1510)
0.044368807 = weight(_text_:retrieval in 1510) [ClassicSimilarity], result of:
0.044368807 = score(doc=1510,freq=10.0), product of:
0.07421378 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.02453417 = queryNorm
0.59785134 = fieldWeight in 1510, product of:
3.1622777 = tf(freq=10.0), with freq of:
10.0 = termFreq=10.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.0625 = fieldNorm(doc=1510)
0.14285715 = coord(2/14)
- Abstract
- Starting from an unsolved problem of information retrieval this paper presents an ontology-based model for indexing and retrieval. The model combines the methods and experiences of cognitive-to-interpret indexing languages with the strengths and possibilities of formal knowledge representation. The core component of the model uses inferences along the paths of typed relations between the entities of a knowledge representation for enabling the determination of hit quantities in the context of retrieval processes. The entities are arranged in aspect-oriented facets to ensure a consistent hierarchical structure. The possible consequences for indexing and retrieval are discussed.
-
Boteram, F.; Gödert, W.; Hubrich, J.: Semantic interoperability and retrieval paradigms (2010)
0.01
0.00625983 = product of:
0.04381881 = sum of:
0.009450877 = weight(_text_:information in 3362) [ClassicSimilarity], result of:
0.009450877 = score(doc=3362,freq=4.0), product of:
0.04306919 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.02453417 = queryNorm
0.21943474 = fieldWeight in 3362, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0625 = fieldNorm(doc=3362)
0.03436793 = weight(_text_:retrieval in 3362) [ClassicSimilarity], result of:
0.03436793 = score(doc=3362,freq=6.0), product of:
0.07421378 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.02453417 = queryNorm
0.46309367 = fieldWeight in 3362, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.0625 = fieldNorm(doc=3362)
0.14285715 = coord(2/14)
- Abstract
- This paper presents a new approach to understanding how indexing strategies, models for interoperability and retrieval paradigms interact in information systems and how this can be used to support the design and implementation of components of a semantic navigation for information retrieval systems.
-
Gödert, W.: ¬An ontology-based model for indexing and retrieval (2016)
0.01
0.005795931 = product of:
0.040571515 = sum of:
0.0058474317 = weight(_text_:information in 2777) [ClassicSimilarity], result of:
0.0058474317 = score(doc=2777,freq=2.0), product of:
0.04306919 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.02453417 = queryNorm
0.13576832 = fieldWeight in 2777, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0546875 = fieldNorm(doc=2777)
0.034724083 = weight(_text_:retrieval in 2777) [ClassicSimilarity], result of:
0.034724083 = score(doc=2777,freq=8.0), product of:
0.07421378 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.02453417 = queryNorm
0.46789268 = fieldWeight in 2777, product of:
2.828427 = tf(freq=8.0), with freq of:
8.0 = termFreq=8.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.0546875 = fieldNorm(doc=2777)
0.14285715 = coord(2/14)
- Abstract
- The presented ontology-based model for indexing and retrieval combines the methods and experiences of traditional indexing languages with their cognitively interpreted entities and relationships with the strengths and possibilities of formal knowledge representation. The core component of the model uses inferences along the paths of typed relations between the entities of a knowledge representation for enabling the determination of result sets in the context of retrieval processes. A proposal for a general, but condensed, inventory of typed relations is given. The entities are arranged in aspect-oriented facets to ensure a consistent hierarchical structure. The possible consequences for indexing and retrieval are discussed.
- Source
- Journal of the Association for Information Science and Technology. 67(2016) no.3, S.594-609
-
Gödert, W.: Facets and typed relations as tools for reasoning processes in information retrieval (2014)
0.00
0.0049545267 = product of:
0.034681685 = sum of:
0.010128049 = weight(_text_:information in 1565) [ClassicSimilarity], result of:
0.010128049 = score(doc=1565,freq=6.0), product of:
0.04306919 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.02453417 = queryNorm
0.23515764 = fieldWeight in 1565, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0546875 = fieldNorm(doc=1565)
0.024553634 = weight(_text_:retrieval in 1565) [ClassicSimilarity], result of:
0.024553634 = score(doc=1565,freq=4.0), product of:
0.07421378 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.02453417 = queryNorm
0.33085006 = fieldWeight in 1565, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.0546875 = fieldNorm(doc=1565)
0.14285715 = coord(2/14)
- Abstract
- Faceted arrangement of entities and typed relations for representing different associations between the entities are established tools in knowledge representation. In this paper, a proposal is being discussed combining both tools to draw inferences along relational paths. This approach may yield new benefit for information retrieval processes, especially when modeled for heterogeneous environments in the Semantic Web. Faceted arrangement can be used as a selection tool for the semantic knowledge modeled within the knowledge representation. Typed relations between the entities of different facets can be used as restrictions for selecting them across the facets.
- Series
- Communications in computer and information science; 478
-
Gödert, W.: Facets and typed relations as tools for reasoning processes in information retrieval (2014)
0.00
0.004689022 = product of:
0.032823153 = sum of:
0.008269517 = weight(_text_:information in 3816) [ClassicSimilarity], result of:
0.008269517 = score(doc=3816,freq=4.0), product of:
0.04306919 = queryWeight, product of:
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.02453417 = queryNorm
0.1920054 = fieldWeight in 3816, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
1.7554779 = idf(docFreq=20772, maxDocs=44218)
0.0546875 = fieldNorm(doc=3816)
0.024553634 = weight(_text_:retrieval in 3816) [ClassicSimilarity], result of:
0.024553634 = score(doc=3816,freq=4.0), product of:
0.07421378 = queryWeight, product of:
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.02453417 = queryNorm
0.33085006 = fieldWeight in 3816, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
3.024915 = idf(docFreq=5836, maxDocs=44218)
0.0546875 = fieldNorm(doc=3816)
0.14285715 = coord(2/14)
- Abstract
- Faceted arrangement of entities and typed relations for representing different associations between the entities are established tools in knowledge representation. In this paper, a proposal is being discussed combining both tools to draw inferences along relational paths. This approach may yield new benefit for information retrieval processes, especially when modeled for heterogeneous environments in the Semantic Web. Faceted arrangement can be used as a selection tool for the semantic knowledge modeled within the knowledge representation. Typed relations between the entities of different facets can be used as restrictions for selecting them across the facets.