-
Farazi, M.: Faceted lightweight ontologies : a formalization and some experiments (2010)
0.33
0.32619107 = product of:
0.54365176 = sum of:
0.040601816 = product of:
0.121805444 = sum of:
0.121805444 = weight(_text_:3a in 4997) [ClassicSimilarity], result of:
0.121805444 = score(doc=4997,freq=2.0), product of:
0.26007444 = queryWeight, product of:
8.478011 = idf(docFreq=24, maxDocs=44218)
0.03067635 = queryNorm
0.46834838 = fieldWeight in 4997, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
8.478011 = idf(docFreq=24, maxDocs=44218)
0.0390625 = fieldNorm(doc=4997)
0.33333334 = coord(1/3)
0.121805444 = weight(_text_:2f in 4997) [ClassicSimilarity], result of:
0.121805444 = score(doc=4997,freq=2.0), product of:
0.26007444 = queryWeight, product of:
8.478011 = idf(docFreq=24, maxDocs=44218)
0.03067635 = queryNorm
0.46834838 = fieldWeight in 4997, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
8.478011 = idf(docFreq=24, maxDocs=44218)
0.0390625 = fieldNorm(doc=4997)
0.121805444 = weight(_text_:2f in 4997) [ClassicSimilarity], result of:
0.121805444 = score(doc=4997,freq=2.0), product of:
0.26007444 = queryWeight, product of:
8.478011 = idf(docFreq=24, maxDocs=44218)
0.03067635 = queryNorm
0.46834838 = fieldWeight in 4997, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
8.478011 = idf(docFreq=24, maxDocs=44218)
0.0390625 = fieldNorm(doc=4997)
0.121805444 = weight(_text_:2f in 4997) [ClassicSimilarity], result of:
0.121805444 = score(doc=4997,freq=2.0), product of:
0.26007444 = queryWeight, product of:
8.478011 = idf(docFreq=24, maxDocs=44218)
0.03067635 = queryNorm
0.46834838 = fieldWeight in 4997, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
8.478011 = idf(docFreq=24, maxDocs=44218)
0.0390625 = fieldNorm(doc=4997)
0.121805444 = weight(_text_:2f in 4997) [ClassicSimilarity], result of:
0.121805444 = score(doc=4997,freq=2.0), product of:
0.26007444 = queryWeight, product of:
8.478011 = idf(docFreq=24, maxDocs=44218)
0.03067635 = queryNorm
0.46834838 = fieldWeight in 4997, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
8.478011 = idf(docFreq=24, maxDocs=44218)
0.0390625 = fieldNorm(doc=4997)
0.015828185 = product of:
0.04748455 = sum of:
0.04748455 = weight(_text_:2010 in 4997) [ClassicSimilarity], result of:
0.04748455 = score(doc=4997,freq=3.0), product of:
0.14672957 = queryWeight, product of:
4.7831497 = idf(docFreq=1005, maxDocs=44218)
0.03067635 = queryNorm
0.32361948 = fieldWeight in 4997, product of:
1.7320508 = tf(freq=3.0), with freq of:
3.0 = termFreq=3.0
4.7831497 = idf(docFreq=1005, maxDocs=44218)
0.0390625 = fieldNorm(doc=4997)
0.33333334 = coord(1/3)
0.6 = coord(6/10)
- Content
- PhD Dissertation at International Doctorate School in Information and Communication Technology. Vgl.: https%3A%2F%2Fcore.ac.uk%2Fdownload%2Fpdf%2F150083013.pdf&usg=AOvVaw2n-qisNagpyT0lli_6QbAQ.
- Year
- 2010
-
Huo, W.: Automatic multi-word term extraction and its application to Web-page summarization (2012)
0.30
0.29648927 = product of:
0.59297854 = sum of:
0.14616652 = weight(_text_:2f in 563) [ClassicSimilarity], result of:
0.14616652 = score(doc=563,freq=2.0), product of:
0.26007444 = queryWeight, product of:
8.478011 = idf(docFreq=24, maxDocs=44218)
0.03067635 = queryNorm
0.56201804 = fieldWeight in 563, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
8.478011 = idf(docFreq=24, maxDocs=44218)
0.046875 = fieldNorm(doc=563)
0.14616652 = weight(_text_:2f in 563) [ClassicSimilarity], result of:
0.14616652 = score(doc=563,freq=2.0), product of:
0.26007444 = queryWeight, product of:
8.478011 = idf(docFreq=24, maxDocs=44218)
0.03067635 = queryNorm
0.56201804 = fieldWeight in 563, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
8.478011 = idf(docFreq=24, maxDocs=44218)
0.046875 = fieldNorm(doc=563)
0.14616652 = weight(_text_:2f in 563) [ClassicSimilarity], result of:
0.14616652 = score(doc=563,freq=2.0), product of:
0.26007444 = queryWeight, product of:
8.478011 = idf(docFreq=24, maxDocs=44218)
0.03067635 = queryNorm
0.56201804 = fieldWeight in 563, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
8.478011 = idf(docFreq=24, maxDocs=44218)
0.046875 = fieldNorm(doc=563)
0.14616652 = weight(_text_:2f in 563) [ClassicSimilarity], result of:
0.14616652 = score(doc=563,freq=2.0), product of:
0.26007444 = queryWeight, product of:
8.478011 = idf(docFreq=24, maxDocs=44218)
0.03067635 = queryNorm
0.56201804 = fieldWeight in 563, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
8.478011 = idf(docFreq=24, maxDocs=44218)
0.046875 = fieldNorm(doc=563)
0.008312443 = product of:
0.02493733 = sum of:
0.02493733 = weight(_text_:22 in 563) [ClassicSimilarity], result of:
0.02493733 = score(doc=563,freq=2.0), product of:
0.10742335 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.03067635 = queryNorm
0.23214069 = fieldWeight in 563, 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=563)
0.33333334 = coord(1/3)
0.5 = coord(5/10)
- Content
- A Thesis presented to The University of Guelph In partial fulfilment of requirements for the degree of Master of Science in Computer Science. Vgl. Unter: http://www.inf.ufrgs.br%2F~ceramisch%2Fdownload_files%2Fpublications%2F2009%2Fp01.pdf.
- Date
- 10. 1.2013 19:22:47
-
Xiong, C.: Knowledge based text representations for information retrieval (2016)
0.29
0.29185498 = product of:
0.58370996 = sum of:
0.032481454 = product of:
0.097444355 = sum of:
0.097444355 = weight(_text_:3a in 5820) [ClassicSimilarity], result of:
0.097444355 = score(doc=5820,freq=2.0), product of:
0.26007444 = queryWeight, product of:
8.478011 = idf(docFreq=24, maxDocs=44218)
0.03067635 = queryNorm
0.3746787 = fieldWeight in 5820, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
8.478011 = idf(docFreq=24, maxDocs=44218)
0.03125 = fieldNorm(doc=5820)
0.33333334 = coord(1/3)
0.13780712 = weight(_text_:2f in 5820) [ClassicSimilarity], result of:
0.13780712 = score(doc=5820,freq=4.0), product of:
0.26007444 = queryWeight, product of:
8.478011 = idf(docFreq=24, maxDocs=44218)
0.03067635 = queryNorm
0.5298757 = fieldWeight in 5820, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
8.478011 = idf(docFreq=24, maxDocs=44218)
0.03125 = fieldNorm(doc=5820)
0.13780712 = weight(_text_:2f in 5820) [ClassicSimilarity], result of:
0.13780712 = score(doc=5820,freq=4.0), product of:
0.26007444 = queryWeight, product of:
8.478011 = idf(docFreq=24, maxDocs=44218)
0.03067635 = queryNorm
0.5298757 = fieldWeight in 5820, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
8.478011 = idf(docFreq=24, maxDocs=44218)
0.03125 = fieldNorm(doc=5820)
0.13780712 = weight(_text_:2f in 5820) [ClassicSimilarity], result of:
0.13780712 = score(doc=5820,freq=4.0), product of:
0.26007444 = queryWeight, product of:
8.478011 = idf(docFreq=24, maxDocs=44218)
0.03067635 = queryNorm
0.5298757 = fieldWeight in 5820, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
8.478011 = idf(docFreq=24, maxDocs=44218)
0.03125 = fieldNorm(doc=5820)
0.13780712 = weight(_text_:2f in 5820) [ClassicSimilarity], result of:
0.13780712 = score(doc=5820,freq=4.0), product of:
0.26007444 = queryWeight, product of:
8.478011 = idf(docFreq=24, maxDocs=44218)
0.03067635 = queryNorm
0.5298757 = fieldWeight in 5820, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
8.478011 = idf(docFreq=24, maxDocs=44218)
0.03125 = fieldNorm(doc=5820)
0.5 = coord(5/10)
- Content
- Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Language and Information Technologies. Vgl.: https%3A%2F%2Fwww.cs.cmu.edu%2F~cx%2Fpapers%2Fknowledge_based_text_representation.pdf&usg=AOvVaw0SaTSvhWLTh__Uz_HtOtl3.
-
Kiren, T.: ¬A clustering based indexing technique of modularized ontologies for information retrieval (2017)
0.00
0.0034110527 = product of:
0.017055264 = sum of:
0.011513635 = product of:
0.034540903 = sum of:
0.034540903 = weight(_text_:problem in 4399) [ClassicSimilarity], result of:
0.034540903 = score(doc=4399,freq=4.0), product of:
0.1302053 = queryWeight, product of:
4.244485 = idf(docFreq=1723, maxDocs=44218)
0.03067635 = queryNorm
0.2652803 = fieldWeight in 4399, product of:
2.0 = tf(freq=4.0), with freq of:
4.0 = termFreq=4.0
4.244485 = idf(docFreq=1723, maxDocs=44218)
0.03125 = fieldNorm(doc=4399)
0.33333334 = coord(1/3)
0.0055416296 = product of:
0.016624888 = sum of:
0.016624888 = weight(_text_:22 in 4399) [ClassicSimilarity], result of:
0.016624888 = score(doc=4399,freq=2.0), product of:
0.10742335 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.03067635 = queryNorm
0.15476047 = fieldWeight in 4399, 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=4399)
0.33333334 = coord(1/3)
0.2 = coord(2/10)
- Abstract
- Indexing plays a vital role in Information Retrieval. With the availability of huge volume of information, it has become necessary to index the information in such a way to make easier for the end users to find the information they want efficiently and accurately. Keyword-based indexing uses words as indexing terms. It is not capable of capturing the implicit relation among terms or the semantics of the words in the document. To eliminate this limitation, ontology-based indexing came into existence, which allows semantic based indexing to solve complex and indirect user queries. Ontologies are used for document indexing which allows semantic based information retrieval. Existing ontologies or the ones constructed from scratch are used presently for indexing. Constructing ontologies from scratch is a labor-intensive task and requires extensive domain knowledge whereas use of an existing ontology may leave some important concepts in documents un-annotated. Using multiple ontologies can overcome the problem of missing out concepts to a great extent, but it is difficult to manage (changes in ontologies over time by their developers) multiple ontologies and ontology heterogeneity also arises due to ontologies constructed by different ontology developers. One possible solution to managing multiple ontologies and build from scratch is to use modular ontologies for indexing.
Modular ontologies are built in modular manner by combining modules from multiple relevant ontologies. Ontology heterogeneity also arises during modular ontology construction because multiple ontologies are being dealt with, during this process. Ontologies need to be aligned before using them for modular ontology construction. The existing approaches for ontology alignment compare all the concepts of each ontology to be aligned, hence not optimized in terms of time and search space utilization. A new indexing technique is proposed based on modular ontology. An efficient ontology alignment technique is proposed to solve the heterogeneity problem during the construction of modular ontology. Results are satisfactory as Precision and Recall are improved by (8%) and (10%) respectively. The value of Pearsons Correlation Coefficient for degree of similarity, time, search space requirement, precision and recall are close to 1 which shows that the results are significant. Further research can be carried out for using modular ontology based indexing technique for Multimedia Information Retrieval and Bio-Medical information retrieval.
- Date
- 20. 1.2015 18:30:22
-
Onofri, A.: Concepts in context (2013)
0.00
7.1236974E-4 = product of:
0.007123697 = sum of:
0.007123697 = product of:
0.02137109 = sum of:
0.02137109 = weight(_text_:problem in 1077) [ClassicSimilarity], result of:
0.02137109 = score(doc=1077,freq=2.0), product of:
0.1302053 = queryWeight, product of:
4.244485 = idf(docFreq=1723, maxDocs=44218)
0.03067635 = queryNorm
0.1641338 = fieldWeight in 1077, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.244485 = idf(docFreq=1723, maxDocs=44218)
0.02734375 = fieldNorm(doc=1077)
0.33333334 = coord(1/3)
0.1 = coord(1/10)
- Abstract
- My thesis discusses two related problems that have taken center stage in the recent literature on concepts: 1) What are the individuation conditions of concepts? Under what conditions is a concept Cv(1) the same concept as a concept Cv(2)? 2) What are the possession conditions of concepts? What conditions must be satisfied for a thinker to have a concept C? The thesis defends a novel account of concepts, which I call "pluralist-contextualist": 1) Pluralism: Different concepts have different kinds of individuation and possession conditions: some concepts are individuated more "coarsely", have less demanding possession conditions and are widely shared, while other concepts are individuated more "finely" and not shared. 2) Contextualism: When a speaker ascribes a propositional attitude to a subject S, or uses his ascription to explain/predict S's behavior, the speaker's intentions in the relevant context determine the correct individuation conditions for the concepts involved in his report. In chapters 1-3 I defend a contextualist, non-Millian theory of propositional attitude ascriptions. Then, I show how contextualism can be used to offer a novel perspective on the problem of concept individuation/possession. More specifically, I employ contextualism to provide a new, more effective argument for Fodor's "publicity principle": if contextualism is true, then certain specific concepts must be shared in order for interpersonally applicable psychological generalizations to be possible. In chapters 4-5 I raise a tension between publicity and another widely endorsed principle, the "Fregean constraint" (FC): subjects who are unaware of certain identity facts and find themselves in so-called "Frege cases" must have distinct concepts for the relevant object x. For instance: the ancient astronomers had distinct concepts (HESPERUS/PHOSPHORUS) for the same object (the planet Venus). First, I examine some leading theories of concepts and argue that they cannot meet both of our constraints at the same time. Then, I offer principled reasons to think that no theory can satisfy (FC) while also respecting publicity. (FC) appears to require a form of holism, on which a concept is individuated by its global inferential role in a subject S and can thus only be shared by someone who has exactly the same inferential dispositions as S. This explains the tension between publicity and (FC), since holism is clearly incompatible with concept shareability. To solve the tension, I suggest adopting my pluralist-contextualist proposal: concepts involved in Frege cases are holistically individuated and not public, while other concepts are more coarsely individuated and widely shared; given this "plurality" of concepts, we will then need contextual factors (speakers' intentions) to "select" the specific concepts to be employed in our intentional generalizations in the relevant contexts. In chapter 6 I develop the view further by contrasting it with some rival accounts. First, I examine a very different kind of pluralism about concepts, which has been recently defended by Daniel Weiskopf, and argue that it is insufficiently radical. Then, I consider the inferentialist accounts defended by authors like Peacocke, Rey and Jackson. Such views, I argue, are committed to an implausible picture of reference determination, on which our inferential dispositions fix the reference of our concepts: this leads to wrong predictions in all those cases of scientific disagreement where two parties have very different inferential dispositions and yet seem to refer to the same natural kind.
-
Geisriegler, E.: Enriching electronic texts with semantic metadata : a use case for the historical Newspaper Collection ANNO (Austrian Newspapers Online) of the Austrian National Libraryhek (2012)
0.00
6.927037E-4 = product of:
0.0069270367 = sum of:
0.0069270367 = product of:
0.02078111 = sum of:
0.02078111 = weight(_text_:22 in 595) [ClassicSimilarity], result of:
0.02078111 = score(doc=595,freq=2.0), product of:
0.10742335 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.03067635 = queryNorm
0.19345059 = fieldWeight in 595, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.0390625 = fieldNorm(doc=595)
0.33333334 = coord(1/3)
0.1 = coord(1/10)
- Date
- 3. 2.2013 18:00:22
