TEXT MINING TECHNOLOGY TO SUPPORT ENTERPRISE KNOWLEDGE MANAGEMENT

A successful flexible enterprise must have an organization knowledge-based. In an era characterized by change, globalization and competition, knowledge is without doubt the most important asset for a company to gain a competitive advantage. Nowadays, in the enterprise, there is a huge amount of unstructured information especially in textual documents. The Text Mining technology, in the Knowledge Management platform, is the most important tool to manage continually this information.knowledge management, text mining, unstructured information, enterprise information system.

Directory attribute grammars

To publish documents we must take care of documents' structure and their formal layout. If a large document is composed by a lot of parts including text, images, code and so on, they will lay in different files; so file organization should also be a concern in the mind of the publisher. Normally, we focus on the structure and design, and forget file organization until this becomes a trouble, at production stage. The most common way to organize files is using the file system; directory structure is very flexible but quickly becomes disorganized. In this paper we present a way to turn a file system tree into an organized web page, using a grammatical formalism (hereafter called Directory Attribute Grammars: DAG = AG + Makefiles). We developed a tool (similar to a compiler) to publish different formats on the web, automatically, from the file structure and a DAG specification. This tool allows us to maintain a huge number of documents of different types, and process them systematically

Knowledge-based document filing for texpros

This dissertation presents a knowledge-based document filing system for TEXPROS. The requirements of a. personal document processing system are investigated. In order for the system to be used in various application domains, a flexible, dynamic modeling approach is employed by getting the user involved in document modeling. The office documents are described using a dual-model which consists of a document type hierarchy and a folder organization. The document type hierarchy is used to capture the layout, logical and conceptual structures of documents. The folder organization, which is defined by the user, emulates the real world structure for organizing and storing documents in an office environment. The document filing and retrieval are predicate-driven. The user can specify filing criteria and queries in terms of predicates. The predicate specification and folder organization specification are described. It is shown that the new specifications can prevent false drops which happen in the previous approach. The dual models are incorporated by a three-level storage architecture. This storage architecture supports efficient document and information retrieval by limiting the searches to those frame instances of a document type within those folders which appear to be the most similar to the corresponding queries, Specifically, a. three-level retrieval strategy is used in document and information retrieval. Firstly, a knowledge-based query preprocess is applied for efficiently reducing the search space to a small set of frame instances, using the information in the query formula. Secondly, the knowledge and content-based retrieval on the small set of frame instances is applied. Finally, the third level storage provides a platform for adopting potential content-based multimedia document retrieval techniques. A knowledge-based predicate evaluation engine is described for automating document filing. The dissertation presents a knowledge representation model. The knowledge base is dynamicly created by a learning agent, which demonstrates that the notion of flexible and dynamic modeling is applicable. The folder organization is implemented using an agent-based architecture. Each folder is monitored by a filing agent. The basic operations for constructing and reorganizing a folder organization are defined. The dissertation also discusses the cooperation among the filing agents, which is needed for implementing the folder organization

Looking for Reasons behind Success in Dealing with Requirements Change

During development, requirements of software systems are subject to change. Unfortunately, managing changing requirements can take a lot of time and effort. Yet some companies show a better management of changes in requirements than others. Why? What is it that makes some projects deal with changing requirements better than others? We pursue the long term goal of understanding the mechanisms used to successfully deal with change in requirements. In this paper we gather knowledge about the state-of-the-art and the state-of-practice. We studied eight software development projects in four different companies --large and small, inclined toward structured and toward agile principles of development--, interviewing their project managers and analyzing their answers. Our findings include a list of practical (rather than theoretical) factors affecting the ability to cope with small changes in requirements. Results suggest a central role of size as a factor determining the flexibility showed either by the organization or by the software development team. We report the research method used and validate our results via expert interviews, who could relate to our findings

Flexible document organization: comparing fuzzy and possibilistic approaches

System flexibility means the ability of a system to manage imprecise and/or uncertain information. A lot of commercially available Information Retrieval Systems (IRS) address this issue at the level of query formulation. Another way to make the flexibility of an IRS possible is by means of the flexible organization of documents. Such organization can be carried out using clustering algorithms by which documents can be automatically organized in multiple clusters simultaneously. Fuzzy and possibilistic clustering algorithms are examples of methods by which documents can belong to more than one cluster simultaneously with different membership degrees. The interpretation of these membership degrees can be used to quantify the compatibility of a document with a particular topic. The topics are represented by clusters and the clusters are identified by one or more descriptors extracted by a proposed method. We aim to investigate if the performance of each clustering algorithm can affect the extraction of meaningful overlapping cluster descriptors. Experiments were carried using well-known collections of documents and the predictive power of the descriptors extracted from both fuzzy and possibilistic document clustering was evaluated. The results prove that descriptors extracted after both fuzzy and possibilistic clustering are effective and can improve the flexible organization of documents.CAPES (Coordination for the Improvement of Higher Level Personnel) (PDSE grant 5983-11-8)FAPESP (Sao Paulo Research Foundation) (grant 2011/19850-9

Information scraps: how and why information eludes our personal information management tools

In this paper we describe information scraps -- a class of personal information whose content is scribbled on Post-it notes, scrawled on corners of random sheets of paper, buried inside the bodies of e-mail messages sent to ourselves, or typed haphazardly into text files. Information scraps hold our great ideas, sketches, notes, reminders, driving directions, and even our poetry. We define information scraps to be the body of personal information that is held outside of its natural or We have much still to learn about these loose forms of information capture. Why are they so often held outside of our traditional PIM locations and instead on Post-its or in text files? Why must we sometimes go around our traditional PIM applications to hold on to our scraps, such as by e-mailing ourselves? What are information scraps' role in the larger space of personal information management, and what do they uniquely offer that we find so appealing? If these unorganized bits truly indicate the failure of our PIM tools, how might we begin to build better tools? We have pursued these questions by undertaking a study of 27 knowledge workers. In our findings we describe information scraps from several angles: their content, their location, and the factors that lead to their use, which we identify as ease of capture, flexibility of content and organization, and avilability at the time of need. We also consider the personal emotive responses around scrap management. We present a set of design considerations that we have derived from the analysis of our study results. We present our work on an application platform, jourknow, to test some of these design and usability findings

Assembling and enriching digital library collections

People who create digital libraries need to gather together the raw material, add metadata as necessary, and design and build new collections. This paper sets out the requirements for these tasks and describes a new tool that supports them interactively, making it easy for users to create their own collections from electronic files of all types. The process involves selecting documents for inclusion, coming up with a suitable metadata set, assigning metadata to each document or group of documents, designing the form of the collection in terms of document formats, searchable indexes, and browsing facilities, building the necessary indexes and data structures, and putting the collection in place for others to use. Moreover, different situations require different workflows, and the system must be flexible enough to cope with these demands. Although the tool is specific to the Greenstone digital library software, the underlying ideas should prove useful in more general contexts

Families and Flexibility: Building the 21st Century Workplace

This report details the findings of a survey of working New Yorkers -- conducted by the Comptroller's Office, in partnership with A Better Balance -- designed to provide policymakers with insight into how flexible work arrangements are, or are not, being used by individuals and businesses throughout the city. It is intended to gauge the need for workplace reforms, including but not limited to, legislation establishing the "right to request" FWA's, paid family leave, and advance notification of schedules. The survey, while non-scientific, yielded over 1,100 responses from residents of all five boroughs working in a range of industries, from professional services and education, to health care, retail, and construction between June and August 2015. The results suggest that New Yorkers from all walks of life face an untenable tension between their professional and personal responsibilities, and that a new model of work is needed to ensure that parents can remain in the workforce, families have the flexibility to care for loved ones of all ages, and workers of every stripe have the opportunity to succeed