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Big data is a broad term with numerous dimensions, most notably: big data characteristics, techniques, software systems, application domains, computing platforms, and big data milieu (industry, government, and academia). In this paper we briefly introduce fundamental big data characteristics and then present seven case studies of big data techniques, systems, applications, and platforms, as seen from...
Lot of time is spent on E-Mails for communication in today's IT world, peoples prefer to send email for business purpose and information exchange. Email management is necessary because once our inbox is full of mails we avoid to read out one by one in that case some important email may get missed. Always user try to avoid unnecessary email reading for that a better email management system is required...
Internet has experienced a deep change. Now, people can communicate among themselves and share information and experiences thanks to Web 2.0 technologies. One way of storing all these information in a sorted way implies the use of Fuzzy Ontologies. In this paper, a novel and automatic method that is capable of retrieving and storing information coming from Internet users has been designed. Thanks...
With the rapid development of Internet technology, network has become main source of recruitment information. How to extract the useful recruitment information automatically from these recruitment websites is an important subject nowadays. This thesis studied processing the half-structure text by Natural Language Understanding and improved the existing language model to realize Chinese named entity...
In this paper we propose a method to extract automatically metadata (title, authors, affiliation, email, references, etc) from science papers by combining the layout information of papers with rules which are defined by using JAPE Grammar rules of GATE. After metadata extracted automatically from digital documents, user can interact and correct them before they are exported to XML files. Developing...
Personal Space of Information (PSI) is the whole information collection about or of the person which can be the important resource to mine personal competence, personal task and corresponding required knowledge which can be converted to the evidence of individual competence and update the competence model. This paper analysis the character of PSI and introduces the method of competence modeling automatically...
This paper proposes a method of agricultural concept extraction with adaptivity, in order to elevate the quality of automatic or semi-automatic construction of agricultural ontology. This method constructs a model of Bayesian network combining context dependency analysis, domain dependencies and mutual information; then achieves conditional probability distribution table by means of data training...
Software engineering is at the very start of it's automation. There are a lot of helpers, code-generators, IDE-s and so on that does not really help to automate the complete software development life-circle from Functional requirements specification till the actual code. We explore the idea to generate the actual software solution using standard Functional requirements specification, change request...
Large amount of experts are key asset that universities hold. In order to increase people's awareness of experts and foster collaborative opportunities, it is necessary to help users to locate experts with required expertise. This paper proposes a methodology for ontology-based expertise locator, a Semantic Web application that integrates pieces of relevant expertise information from heterogeneous...
Ontologies represent a method of sharing and reusing knowledge on the semantic web. A fuzzy ontology is an extension of domain ontologies for solving the problems of uncertainty. This paper shows how a Fuzzy Ontology based approach can represent user profiles in e-learning environments. The ontological representation of the user profile enhances the performance in tasks such as filtering and information...
There are a lot benefits to enable intelligent agent understanding the information from semantic Web. It enhances the efficiency of information usage and at the same time, suffices the need of users. Semantic documents contain adequate semantic information which helps understanding. However, discrepancy between ontology which is an interpreter of semantic document prevents the share of knowledge....
Advances in Internet and software technology play increasing roles in creating work environments and online services that impact our everyday living. Web service computing paradigm has revolutionized how these software applications can be developed rapidly and reliably by employing available services available in standard forms across the web. Automatic composition of Web services is necessary and...
With rapid increment of personal data amount, how to efficiently search personal dataspace (PDS) becomes an interesting and promising research topic. Popular methods include folder explorer, desktop search tools, and etc. Because these methods ignore user features, they fail to work well in some cases. For example, sometimes users expect to relocate a personal document based on some fuzzy memory clues,...
A pragmatic and straightforward approach to semantic service discovery is to match inputs and outputs of user requests with the input and output requirements of registered service descriptions. This approach can be extended by using pre-conditions, effects and semantic annotations (meta-data) in an attempt to increase discovery accuracy. While on one hand these additions help improve discovery accuracy,...
Discovering the relationships among data resources in dataspace is an important issue, which is the basis for creating index, browsing, searching, querying, lineage and other services.However current researches mostly focus on the assumption that the relationships among data resources have been obtained, so they have more or less limitation. In order to solve this problem we propose an approach to...
As fuzzy ontologies for fuzzy knowledge representation are increasingly constructed, how to store fuzzy ontologies is becoming a more pertinent issue. In this paper, we make use of the advantage of fuzzy relational database as an efficient solution to store fuzzy ontologies. Considering the characteristics of structure and individuals of fuzzy ontology we propose corresponding storage means, respectively...
When small and medium enterprises (SMEs) engage in collaborations, they typically rely on E-mail based communication due to limited access to modern technology. One of the key factors to enhance SME collaboration is enabling semantic interoperability at the level of emails and documents that are exchanged between collaborating enterprises. However, achieving semantic interoperability is not an easy...
We present a flexible approach to the observation of multi-modal communication streams over the course of project-based collaboration such as engineering design. We introduce team communication networks to formalize the occurrence and evolution of actors, resources, and semantic relationships in distributed design information spaces. Analyzing the digital traces of IT-mediated collaboration, we computationally...
Adding semantic annotation for Web page is the foundation on constructing semantic Web. Lexical patterns based annotation methods are adopted by most of the semantic annotation systems. The structures and visual features of Web pages imply valuable semantic information, such as relation between entities, but these features are often ignored by current semantic annotation methods. A hybrid pattern...
Capturing information about employees can give organizations insight into underlying knowledge processes. Analyzing email communications, for example, can produce an informal structure that's flexible and that organizations can recalculate regularly to capture information flow among employees. The structure could also help institutions to both identify collaboration patterns and predict changes in...
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