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Ontology-Based Information Extraction for Business Intelligence [chapter]

Horacio Saggion, Adam Funk, Diana Maynard, Kalina Bontcheva
2007 Lecture Notes in Computer Science  
We describe the application of ontology-based extraction and merging in the context of a practical e-business application for the EU MUSING Project where the goal is to gather international company intelligence  ...  The massive amount of information available to business analysts makes information extraction and other natural language processing tools key enablers for the acquisition and use of that semantic information  ...  Here, we concentrate on the application of Ontology-based Information Extraction (OBIE) in the context of Business Intelligence.  ... 
doi:10.1007/978-3-540-76298-0_61 fatcat:ojvdngdlhvconj7g5by55d2qna

A Survey of Ontology-based Information Extraction for Social Media Content Analysis

Redjie T. Villar, Information Technology Department, Shinas College of Technology, Shinas, Sultanate of Oman
2017 International Journal of Business Intelligents  
The power sector is considered very critical for the economic development of the country.  ...  Information Technology.  ...  The study and assessment of the impact of information Technology on different aspects of business performance has been the area of focus for researchers for some time.  ... 
doi:10.20894/ijbi. fatcat:ikityozlrbdwvaqj5os6jqjlie

Extraction and Credibility Evaluation of Web-based Competitive Intelligence

Jie Zhao, Peiquan Jin
2011 Journal of Software  
Web has been one of major information sources for enterprises to acquire competitive intelligence.  ...  The entity-based extracting approach is based on an ontology of Web competitive intelligence, which represents competitive intelligence as a set of competitor intelligence and competition environment intelligence  ...  ACKNOWLEDGEMENT This work is supported by the Open Projects Program of National Laboratory of Pattern Recognition, the Key Laboratory of Advanced Information Science and Network Technology of Beijing,  ... 
doi:10.4304/jsw.6.8.1513-1520 fatcat:3mqfgxwa5rgdbmsfp2amx5mg7y

Ontology management and evolution for business intelligence

Alexander Mikroyannidis, Babis Theodoulidis
2010 International Journal of Information Management  
The present work investigates the potential of ontologies in supporting the information lifecycle within a corporate environment for business intelligence.  ...  Ontologies can act as a semantically rich knowledge base in systems that specialize in information management.  ...  Business intelligence (BI) consists of a collection of techniques and tools, aiming at providing businesses with the necessary support for decision making.  ... 
doi:10.1016/j.ijinfomgt.2009.10.002 fatcat:kybhj5gga5hbjozp6rtct7ukpq

OIL: an ontology infrastructure for the Semantic Web

D. Fensel, F. van Harmelen, I. Horrocks, D.L. McGuinness, P.F. Patel-Schneider
2001 IEEE Intelligent Systems  
She also runs a consulting business dealing with ontologies and artificial intelligence for business applications and serves on several technology advisory boards and academic advisory boards.  ...  when different words about the desired content are used. • Extracting information: Current human browsing and reading requires extracting relevant information from information sources.  ...  The result is a great need for intelligent systems in biology.  ... 
doi:10.1109/5254.920598 fatcat:n3qstdm5jra2ldju22sh5v3fw4

A Framework for Business Intelligence Application using Ontological Classification [article]

A. Martin, D. Maladhy, V. Prasanna Venkatesan
2011 arXiv   pre-print
From all these a new framework is developed for Business Intelligence.  ...  An Ontological model is developed to capture specific information by using web semantics. From the Ontology model, the relations between the data are mined using decision tree.  ...  mining (DM) and geographic information system (GIS) How Business Intelligence works?  ... 
arXiv:1109.1088v1 fatcat:wcrsgxfhwveyde4uitx4lsioqy

Knowledge Harvesting for Business Intelligence [chapter]

Nesrine Ben Mustapha, Marie-Aude Aufaure
2013 Lecture Notes in Business Information Processing  
This paper aims at describing the importance of semantic technologies (ontologies) and knowledge extraction techniques for knowledge management, search and capture in e-business processes.  ...  With the growth rate of information volume, information access and knowledge management in enterprises has become challenging.  ...  Ontologies for Business Intelligence Business intelligence (BI) is defined as the process of searching, gathering, aggregating, and analyzing information for decision making.  ... 
doi:10.1007/978-3-642-36318-4_8 fatcat:rzo4x452orbgveortwrw5izgry

An Enhanced Framework to Ensure Big Data Veracity in Social Business Intelligence

2019 Zenodo  
Our method checks the veracity of RDF triples based on domain ontology to control the structure of RDF triplets.  ...  Intelligence.  ...  ACKNOWLEDGMENT This work has been supported by the National Centre for Scientific and Technical Research of Morocco.  ... 
doi:10.5281/zenodo.3578270 fatcat:3v242yb2zjhedbodt5sfpshd6i

Intelligent Role-Based Access Control Model and Framework using Semantic Business Roles in Multi-domain Environments

Rubina Ghazal, Ahmad Kamran Malik, Nauman Qadeer, Basit Raza, Ahmad Raza Shahid, Hani Alquhayz
2020 IEEE Access  
This dynamically learned organizational ontology is further matched with our core I-RBAC ontology in order to extract unified semantic business roles.  ...  The novelty of the paper lies in developing a core I-RBAC ontology using real-world semantic business roles and intelligent agent technologies together for achieving required level of access control in  ...  The extracted information is analyzed for duplication and stored in a knowledge base.  ... 
doi:10.1109/access.2020.2965333 fatcat:m55xr7zw6nfafpl5omphhnqzqq

ERMIS: Extracting Knowledge from Unstructured Big Data for Supporting Business Decision Making [chapter]

Christos Alexakos, Konstantinos Arvanitis, Andreas Papalambrou, Thomas Amorgianiotis, George Raptis, Nikolaos Zervos
2016 IFIP Advances in Information and Communication Technology  
The business managers can monitor the information for a specific product or service, by studying the extracted knowledge from a large amount of sources on the Internet.  ...  Knowledge Base keeps only the useful information based on the semantics of the ERMIS integrated ontology.  ... 
doi:10.1007/978-3-319-44944-9_54 fatcat:pa6jgz4z35bx7mjidmlnil6mpu

Semantically Enhanced Passage Retrieval for Business Analysis Activity

VinhTuan Thai, Brian Davis, Seán O'Riain, David O'Sullivan, Siegfried Handschuh
2008 European Conference on Information Systems  
It dramatically reduces the time that analysts spend extracting relevant informative passages within a report or business intelligence.  ...  Business analysis activity often involves the identification and extraction of information from business reports.  ...  Acknowledgments We would like to thank Michael Turley for participating in the preliminary evaluation.  ... 
dblp:conf/ecis/ThaiDOOH08 fatcat:ci667zi3cncoxgvejr5qnvoxz4

A Study on the Construction of Tourism E-commerce System Based on Semantic Web Services

Jianfeng Dong, Liyan Xiao
2012 Wuhan International Conference on E-Business  
tourism e-business system well.  ...  Experiment proves that the framework owns the superiority of platform irrelevance, system highly seamless integration, high semantic interoperability and intelligence, and can solve the low semantics in  ...  As shown in figure 3 , the tourism business information resources ontology obtaining model contains four phases--information selection, concept extraction, domain focus relationship study and ontology  ... 
dblp:conf/whiceb/DongX12 fatcat:3db3vufp7za2fjh5ffsuxctqkm

WeCIM – Web Competitive Intelligence Methodology

Joaquim Fonseca, António Grilo
2013 Journal of Economics Business and Management  
To enhance survival capabilities organizations are increasing efforts in more untraditional business value assets such the intellectual capital and intelligence.  ...  In order to enhance information search and management quality it is proposed to use ontologies that allow reasoning over knowledge concepts without human intervention.  ...  ACKNOWLEDGMENT The authors would like to thank Miguel Soares of Vortal for the pertinent suggestions to develop the case studies.  ... 
doi:10.7763/joebm.2013.v1.26 fatcat:hfbvbwdapze7voijs5bat7lg4u

Process of Ontology Construction for the Development of an Intelligent System for the Organization and Retrieval of Knowledge in Biodiversity — SISBIO [chapter]

Filipe Corrêa da Costa, Hugo Cesar Hoeschl, Aires José Rover, Tânia Cristina D'Agostini Bueno
2006 IFIP International Federation for Information Processing  
The system aims at the production of strategic information for the biofiiel chain Two main methodologies are used for the construction of the ontologies; knowledge engineering and ontology engineering.  ...  A B S T R A C T : This work describes the ontology construction process for the development of an Intelligent System for the Organization and Retrieval of Knowledge in Biodiversity -SISBIO.  ...  It is through the analysis of documents found in these sources that the indices are defined, those that will be the base for the extraction of information.  ... 
doi:10.1007/978-0-387-34749-3_10 fatcat:6r6dvtbikbg5hcantx2snfu6qm

Research on Smart Matching of Technology Demand and Supply in Manufacturing Industry

Yao Liu, Yi Huang
2016 Innovative Computing Information and Control Express Letters, Part B: Applications  
In response to "mass innovation, mass entrepreneurship" policy, to enhance the utility of the search engine service in the manufacturing industry, based on the innovation service model and idea, we develop  ...  intelligent matching service to effectively address the problems existing in technology supply and demand chain in the innovation process, connecting technology demands with technology providers, so as  ...  The core goal is to build domain knowledge, and establish field vocabulary as the basis for knowledge-based text information discovery to extract business and technical information to construct a dynamic  ... 
doi:10.24507/icicelb.07.12.2719 fatcat:l4ewzu2jdrbwzfqqihxbfyljde
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