Indonesian Innovations on Information Technology--论文代写范文精选

  政府机构为了提高创新,在印尼现通过新创业公司激励人们创业。建立业务由投资培训，在选择阶段,全国创新者提交他们的建议，甚至在一个持续的企业。无论新创新者是集体思想领域的创新还是其他方面。下面的paper代写范文进一步详述。

Abstract 
  Network and graph model is a good alternative to analyze huge collective textual data for the ability to reduce the dimensionality of the data. Texts can be seen as syntactic and semantic network among words and phrases seen as concepts. The model is implemented to observe the proposals of Indonesian innovators for implementation of information technology. From the analysis some interesting insights are outlined. 
  Keywords: innovation, semantic map, corpus, complex network, computational linguistics

  Introduction 
  Innovation is said not about ideas, but more about recognition of ideas [2]. Ideas are everywhere in the past and current way of collective thinking, but innovation makes the direction of how ideas evolve within the society, be it social, economic, and even political life [15]. Thus, seeing innovation is like the best way to hover around the current living dots of ideas and the way people innovate is connecting them one another by the celebration of new ideas, products, and even business and entrepreneurial platforms. 

  Along with some governmental institutions, there are some big corporations in Indonesia right now making a sort of “incubation” for new start-ups and young entrepreneurs in order to boost innovations in the country. They do the selections and the elected start-ups will be groomed in to the established business funded by investment. Before the selection phase, innovators around the country submit their proposal due to ideas, products, or even an ongoing business venture they were doing. In front of the jury for selection is hundreds of proposals to choose. Whatever the new innovators stated in their proposals are collectively the field of ideas of innovations among current Indonesian people. The proposals can be seen as a collection of corpus reflecting the need of innovative ideas among the society. Reading them one by one in details is one way to get the insight, but seeing it visually by statistically data crunching is one alternative way to get the big picture. There are interesting patterns and properties by observing collection of texts as network and graph [14]. 

  Graph representation can reduce the dimensionality of the text collections to gain insights instantaneously [5], thanks to the computational processing analysis. Network representation, widely known as semantic mapping, may reveal some interesting patterns represented by the corpus[3], not to mention that in some cases, gazing through the network visualizations may make people easier and faster to grasp interesting information within the corpus, rather than reading text by text. To discuss about the information revealed within the large corpus of innovator’s proposal is the main motivation of this paper. First, we discuss about the methodology review and acquisitions for textual analysis followed by general statistical properties of the collections of more than 300 proposals submitted by innovators in Indonesia to the National Telecommunication Company hosting the business incubation*) . Then the analysis delivers to the result and the discussions about the “face” of innovation related to information technology in Indonesia. The trends and major focus among Indonesian innovators brings the later discussions.

  Network of Text 
  Conventionally, semantic graphs are built from the relations parsed from corpus. Computationally speaking, there is a database of relational semantic concepts or key phrases that is used to “read” the observed text or document [7]. However, the paper used an alternative different way to see textual documents. It is interesting to see that textual network representation can be seen in two perspective on corpus. We could build the graph representation either by seeing the syntactic relations of concept, words, or phrases and the semantic relations among concepts based on a relational database [10]. While semantic analysis tries to capture the semantic structure within sentences, the syntactic one is built by connecting words (and phrases) in sentences into an integrated whole. The latter concerns more about the emerged patterns among words and phrases while not necessarily the conceptual represented by the words (and phrases). The idea of textual network representation presented in the paper is, nonetheless beyond the two distinctions. Words (and phrases) of which not grammatically sensitive (mostly nouns representing concepts) from each proposal document submitted for the refereeing process for the Incubation of Information Technology Innovation, are listed and modeled as fully connected graph of concepts.

  From the yielded syntactic networks, we are also curious with the semantic-type network. We do this by reducing some edges to have a simpler image of the graph. To do this we use the minimum spanning tree algorithm [4]. This algorithm yield a mucho simpler network with tree representation: there is no closed loop within the network. Figure 1(b) illustrates the yielded semantic network. The statistical properties of the textual network gives the signature of complexity, it has similarity with the social network. The semantic network is statistically sparse with small 5 amount of nodes have a relations with the vast majority of other nodes, has high local clustering, low average distances among nodes, and the power law degree distribution [16]. The specific statistical stylized facts of the network from Indonesian language is discussed in detail in [14] and is not main the motivation of this paper.

  The main interest of the paper is to observe some important aspects related to the collective cognitive mapping of Indonesian innovators due to the vast submitted proposals of information technology innovations. We employ some centrality measures as discussed in more detail in previous work [13] to see important concepts within the network of the documents.

  Concluding Remarks 
  Simplicity out of complexity is an important issue when we talk about the huge textual documents. The employment of semantic network to map concepts (words and phrases) used in the corpus may help to do this. The network representation can potentially be used to reduce the dimensionality of large amount of texts into some particular levels in which we can have instantaneous understanding of the global properties and stylized facts within corpus. As we implement this into hundreds of proposals to for information-technology business incubation, we gain some important aspects due to the realms of Indonesian innovators in their endeavors for the acquisitions of information technology in specific domains, be it public services, education, entertainment, and so on. Most proposals for the acquisitions of information-technology are about how to administer business development. The variations among topics they propose has dimmed the technical and specific aspects of the information technology they want to focus on. However, by using the analyses with the domain-specific semantic network, we can reveal some important and central theme they want to deliver in area of public services, education, and digital entertainment.(paper代写)

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