Regional Innovation Systems describe the relations between actors, structures and infrastructures in a region in order to stimulate innovation and regional development. For these systems the collection and organization of information is crucial. In the present paper we investigate the possibilities to extract information from websites of companies. First we describe regional innovation systems and the information types that are necessary to create them. Then we discuss the possibilities of text mining and keyword extraction techniques to extract this information from company websites. Finally, we describe a small scale experiment in which keywords related to economic sectors and commodities are extracted from the websites of over 200 compa...
Much of business information is text and the information is subject to frequent changes. The use of ...
The study explored the feasibility of using Web keyword analysis as an alternative to link analysis ...
In this paper we present three new methods to extract key-words from web pages using Wikipedia as an...
In today’s digital era, establishing an online presence and maintaining a well-structured website is...
The study examined the possibility of constructing business profiles (specifically, product profiles...
Nowadays, society finds itself in the so called “Information Age”, in which the combination of expon...
Nowadays, almost all (relevant) firms have their own websites which they use to publish information ...
This thesis is about keyword research for optimization of web pages. The thesis is mainly focused on...
This paper presents a system that uses the domain name of a German business website to locate its in...
Innovation is one of the major drivers of economic growth, where spatial processes of knowledge spil...
The paper uses text mining and semantic algorithms to tag innovative firms and offer an alternative ...
Abstract Web data mining tends to be characterized as the most common way of getting concealed data...
Identifying the Innovators: Lithuanian Innovation Market Analysis Nowadays companies are motivated t...
Innovation is one of the major drivers of economic growth, where spatial processes of knowledge spil...
In the first part of this paper text mining (TM) is examined following three main dimensions: sector...
Much of business information is text and the information is subject to frequent changes. The use of ...
The study explored the feasibility of using Web keyword analysis as an alternative to link analysis ...
In this paper we present three new methods to extract key-words from web pages using Wikipedia as an...
In today’s digital era, establishing an online presence and maintaining a well-structured website is...
The study examined the possibility of constructing business profiles (specifically, product profiles...
Nowadays, society finds itself in the so called “Information Age”, in which the combination of expon...
Nowadays, almost all (relevant) firms have their own websites which they use to publish information ...
This thesis is about keyword research for optimization of web pages. The thesis is mainly focused on...
This paper presents a system that uses the domain name of a German business website to locate its in...
Innovation is one of the major drivers of economic growth, where spatial processes of knowledge spil...
The paper uses text mining and semantic algorithms to tag innovative firms and offer an alternative ...
Abstract Web data mining tends to be characterized as the most common way of getting concealed data...
Identifying the Innovators: Lithuanian Innovation Market Analysis Nowadays companies are motivated t...
Innovation is one of the major drivers of economic growth, where spatial processes of knowledge spil...
In the first part of this paper text mining (TM) is examined following three main dimensions: sector...
Much of business information is text and the information is subject to frequent changes. The use of ...
The study explored the feasibility of using Web keyword analysis as an alternative to link analysis ...
In this paper we present three new methods to extract key-words from web pages using Wikipedia as an...