[PDF] Top 20 Preliminary study on an ontology learning from textual data
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Preliminary study on an ontology learning from textual data
... where ontology provides a capability to represent objects, concepts and other entities and the relationships between ...this ontology development has been directed towards extraction from ... See full document
6
Web prediction method on social network analysis
... Ontology learning is defined as an approach of ontology building from knowledge sources using a set of machine learning techniques and knowledge acquisition ...methods. Ontology ... See full document
6
A Study of Machine Learning Algorithms for Recognizing Textual Entailment
... machine learning algorithms were widely used for the task of recognizing textual entailment (Marneffe et ...development data set could impact over ... See full document
6
Effective Semantic Class Learning from the Web With Ontology
... machine learning techniques for automatic discovery and creation of ontological knowledge ...outstanding ontology development obstacles [12] (being time-consuming and Labor-intensive), ontology ... See full document
7
Comparison of ontology learning techniques for Qur’anic text
... that ontology learning has different categories according to the type of input ...to study the ontology learning from text using Qur’anic text as the ...the study, I found ... See full document
41
Detecting telecommunication fraud by understanding the contents of a call
... fraud from the reports and news on the Internet for understanding the contents of a ...fraud from the Internet. In our study, we gather 12,368 samples of telecommunication frauds from Sina ... See full document
12
Identifying Prominent Arguments in Online Debates Using Semantic Textual Similarity
... Evaluation metrics. A number of clustering evalu- ation metrics have been proposed in the literature. We adopt the external evaluation approach, which com- pares the hypothesized clusters against target clusters. We use ... See full document
6
Feeling Like it is Time to Reopen Now? COVID-19 New Normal Scenarios based on Reopening Sentiment Analytics
... Collecting data from 5,800 small businesses, Bartik ...work from home ...work from home due to the nature of thier work which mandates physical ... See full document
17
Creating Textual Driver Feedback from Telemetric Data
... “bad”. From the police’s point of view the naive ap- proach of law-abidance may be sufficient, from a driving instructor’s point of view other things are also important, like energy-saving and smooth- ... See full document
10
Deriving a Lightweight Corporate Ontology form a Folksonomy: a Methodology and its Possible Applications
... a lightweight orporate ontology from a orporate folksonomy, (2) by means of a folksonomy dataset from a European ompany,.. we provide preliminary evidene that our suggested approah reets[r] ... See full document
9
Development of breast cancer ontology based on hybrid approach
... 2010). Ontology has two important components, namely entity and relationship, which need to be stated to create ...of ontology is in a hierarchy shape that is formed by the relationship between class and ... See full document
8
A case study on sepsis using PubMed and Deep Learning for ontology learning
... Task-based evaluation – POLEOS contains a total of 3276 axioms, and its Description Logic expressivity is ALEHI(D). From the two experiments and the different models, a total of 157 candidate terms related to ... See full document
6
Downloading data from textual deep Web using clustering.
... Building a deep-web crawler has two main challenges. First, the crawler has to understand the web form. Raghavan et al. have proposed a model which learns the query forms [31]. Second, after understanding the query ... See full document
79
Essays on the Interface Between Finance and Technology
... disclosure data represent firm-specific innovations in their respective productivity ...disclosures from my text sample do suggest that the effect of these shocks might persist beyond C2-type firms and even ... See full document
141
Instructional Technology and Its Effect on St...
... teaching learning reveals that in the past, technique was ...of learning", as sueh its scope encompasses educational objectives, media and their characteristics, criteria for selection of media and ... See full document
9
Enhance Learning through BrainDance Movements: An Empirical Study
... recent study in neuroimaging techniques indicated that physical exercise leads to observable changes in brain structure and function (Booth & Lees, ...another study found students who learned using ... See full document
7
Deep Learning for Biomedical Information Retrieval: Learning Textual Relevance from Click Logs
... Deep Learning approach to modeling the relevance of a document’s text to a query, applied to biomedical lit- ...training data, this approach produces a more robust predictor than computing sim- ilarities ... See full document
10
IndoWordNet Application Programming Interfaces
... the data to be available in a relational database, a two layered architecture separates functionality offered to the user from the data access ...any data storage technology and design without ... See full document
8
DKPro TC: A Java based Framework for Supervised Learning Experiments on Textual Data
... outlined learning approaches and feature modes, we have summarized typical sce- narios in supervised learning on textual data in Ta- ble 1 and added example applications in ...supervised ... See full document
6
Smart E Learning Ontology Based Web System
... presents learning information only in the form of electronic data, is just a static information showing web-based system or using standalone personal computer applications gathered on CD or ... See full document
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