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ApexKB
ApexKB (formerly Jumper), is a discontinued free and open-source script for collaborative search and knowledge management powered by a shared enterprise bookmarking engine that is a fork of KnowledgebasePublisher. It was publicly announced on 29 September 2008. A stable version of Jumper (version 2.0.1.1) was publicly released under the GNU General Public License and made available on SourceForge on 26 March 2009. ApexKB empowers users to compile and share collaborative bookmarks by crowdsourcing their knowledge, experience and insights using knowledge tags. Users may tag, link, and rate structured data and unstructured data sources, including relational databases, flat file databases, medical imaging, content management systems, and any network file system. It is an interactive, user-submitted recommendation engine that uses peer-to-peer and social networking principles to reference any information located in distributed storage devices and capture the collective knowledge about ...
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Collaborative Search Engine
Collaborative search engines (CSE) are Web search engines and enterprise searches within company intranets that let users combine their efforts in information retrieval (IR) activities, share information resources collaboratively using knowledge tags, and allow experts to guide less experienced people through their searches. Collaboration partners do so by providing query terms, collective tagging, adding comments or opinions, rating search results, and links clicked of former (successful) IR activities to users having the same or a related information need. Models of collaboration Collaborative search engines can be classified along several dimensions: intent (explicit and implicit) and synchronization, depth of mediation, task vs. trait, division of labor, and sharing of knowledge. Explicit vs. implicit collaboration Implicit collaboration characterizes Collaborative filtering and recommender system, recommendation systems in which the system infers similar information need ...
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Collaborative Search Engine
Collaborative search engines (CSE) are Web search engines and enterprise searches within company intranets that let users combine their efforts in information retrieval (IR) activities, share information resources collaboratively using knowledge tags, and allow experts to guide less experienced people through their searches. Collaboration partners do so by providing query terms, collective tagging, adding comments or opinions, rating search results, and links clicked of former (successful) IR activities to users having the same or a related information need. Models of collaboration Collaborative search engines can be classified along several dimensions: intent (explicit and implicit) and synchronization, depth of mediation, task vs. trait, division of labor, and sharing of knowledge. Explicit vs. implicit collaboration Implicit collaboration characterizes Collaborative filtering and recommender system, recommendation systems in which the system infers similar information need ...
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JavaScript
JavaScript (), often abbreviated as JS, is a programming language that is one of the core technologies of the World Wide Web, alongside HTML and CSS. As of 2022, 98% of Website, websites use JavaScript on the Client (computing), client side for Web page, webpage behavior, often incorporating third-party Library (computing), libraries. All major Web browser, web browsers have a dedicated JavaScript engine to execute the Source code, code on User (computing), users' devices. JavaScript is a High-level programming language, high-level, often Just-in-time compilation, just-in-time compiled language that conforms to the ECMAScript standard. It has dynamic typing, Prototype-based programming, prototype-based object-oriented programming, object-orientation, and first-class functions. It is Programming paradigm, multi-paradigm, supporting Event-driven programming, event-driven, functional programming, functional, and imperative programming, imperative programming paradigm, programmin ...
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Distributed File System
A clustered file system is a file system which is shared by being simultaneously mounted on multiple servers. There are several approaches to clustering, most of which do not employ a clustered file system (only direct attached storage for each node). Clustered file systems can provide features like location-independent addressing and redundancy which improve reliability or reduce the complexity of the other parts of the cluster. Parallel file systems are a type of clustered file system that spread data across multiple storage nodes, usually for redundancy or performance. Shared-disk file system A shared-disk file system uses a storage area network (SAN) to allow multiple computers to gain direct disk access at the block level. Access control and translation from file-level operations that applications use to block-level operations used by the SAN must take place on the client node. The most common type of clustered file system, the shared-disk file system —by a ...
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Structured
Structuring, also known as smurfing in banking jargon, is the practice of executing financial transactions such as making bank deposits in a specific pattern, calculated to avoid triggering financial institutions to file reports required by law, such as the United States' Bank Secrecy Act (BSA) and Internal Revenue Code section 6050I (relating to the requirement to file Form 8300). Structuring may be done in the context of money laundering, fraud, and other financial crimes. Legal restrictions on structuring are concerned with limiting the size of domestic transactions for individuals. Definition Structuring is the act of parceling what would otherwise be a large financial transaction into a series of smaller transactions to avoid scrutiny by regulators and law enforcement. Typically each of the smaller transactions is executed in an amount below some statutory limit that normally does not require a financial institution to file a report with a government agency. Criminal enterp ...
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Search Engine
A search engine is a software system designed to carry out web searches. They search the World Wide Web in a systematic way for particular information specified in a textual web search query. The search results are generally presented in a line of results, often referred to as search engine results pages (SERPs). When a user enters a query into a search engine, the engine scans its index of web pages to find those that are relevant to the user's query. The results are then ranked by relevancy and displayed to the user. The information may be a mix of links to web pages, images, videos, infographics, articles, research papers, and other types of files. Some search engines also mine data available in databases or open directories. Unlike web directories and social bookmarking sites, which are maintained by human editors, search engines also maintain real-time information by running an algorithm on a web crawler. Any internet-based content that can't be indexed and searched ...
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Knowledge Base
A knowledge base (KB) is a technology used to store complex structured and unstructured information used by a computer system. The initial use of the term was in connection with expert systems, which were the first knowledge-based systems. Original usage of the term The original use of the term knowledge base was to describe one of the two sub-systems of an expert system. A knowledge-based system consists of a knowledge-base representing facts about the world and ways of reasoning about those facts to deduce new facts or highlight inconsistencies. Properties The term "knowledge-base" was coined to distinguish this form of knowledge store from the more common and widely used term ''database''. During the 1970s, virtually all large management information systems stored their data in some type of hierarchical or relational database. At this point in the history of information technology, the distinction between a database and a knowledge-base was clear and unambiguous. A databas ...
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Tag (metadata)
In information systems, a tag is a keyword or term assigned to a piece of information (such as an Internet bookmark, multimedia, database record, or computer file). This kind of metadata helps describe an item and allows it to be found again by browsing or searching. Tags are generally chosen informally and personally by the item's creator or by its viewer, depending on the system, although they may also be chosen from a controlled vocabulary. Tagging was popularized by websites associated with Web 2.0 and is an important feature of many Web 2.0 services. It is now also part of other database systems, desktop applications, and operating systems. Overview People use tags to aid classification, mark ownership, note boundaries, and indicate online identity. Tags may take the form of words, images, or other identifying marks. An analogous example of tags in the physical world is museum object tagging. People were using textual keywords to classify information and objects long b ...
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Hyperdata
Hyperdata are data objects linked to other data objects in other places, as hypertext indicates text linked to other text in other places. Hyperdata enables formation of a web of data, evolving from the "data on the Web" that is not inter-related (or at least, not linked). In the same way that ''hypertext'' usually refers to the World Wide Web but is a broader term, ''hyperdata'' usually refers to the Semantic Web, but may also be applied more broadly to other data-linking technologies such as microformats – including XHTML Friends Network. A hypertext link indicates that a link exists between two documents or "information resources". Hyperdata links go beyond simply such a connection, and express semantics about the kind of connection being made. For instance, in a document about Hillary Clinton, a hypertext link might be made from the word ''senator'' to a document about the United States Senate. In contrast, a hyperdata link from the same word to the same document might also ...
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Data Profiling
Data profiling is the process of examining the data available from an existing information source (e.g. a database or a file) and collecting statistics or informative summaries about that data. The purpose of these statistics may be to: # Find out whether existing data can be easily used for other purposes # Improve the ability to search data by tagging it with keywords, descriptions, or assigning it to a category # Assess data quality, including whether the data conforms to particular standards or patterns # Assess the risk involved in integrating data in new applications, including the challenges of joins # Discover metadata of the source database, including value patterns and distributions, key candidates, foreign-key candidates, and functional dependencies # Assess whether known metadata accurately describes the actual values in the source database # Understanding data challenges early in any data intensive project, so that late project surprises are avoided. Finding data ...
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Faceted Classification
A faceted classification is a classification scheme used in organizing knowledge into a systematic order. A faceted classification uses semantic categories, either general or subject-specific, that are combined to create the full classification entry. Many library classification systems use a combination of a fixed, enumerative taxonomy of concepts with subordinate facets that further refine the topic. Definition There are two primary types of classification used for information organization: enumerative and faceted. An enumerative classification contains a full set of entries for all concepts. A faceted classification system uses a set of semantically cohesive categories that are combined as needed to create an expression of a concept. In this way, the faceted classification is not limited to already defined concepts. While this makes the classification quite flexible, it also makes the resulting expression of topics complex. To the extent possible, facets represent "clearly defi ...
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Global Namespace
A Global Namespace (GNS) is a heterogeneous, enterprise-wide abstraction of all file information, open to dynamic customization based on user-defined parameters. This becomes of particular importance as multiple network based file systems proliferate within an organization—the challenge becomes one of effective file management. A Global Namespace has the unique ability to aggregate disparate and remote network based file systems, providing a consolidated mount point which can be mounted on any machine via network protocols and it can greatly reduce complexities of localized file management and administration. For example, prior to file system namespace consolidation, two servers exist and each represent their own independent namespaces; e.g. \\server1\share1 & \\server2\share2. Various files exist within each share respectively; however, users have to access each namespace independently. This becomes an obvious challenge as the number of namespaces grows within an organization. ...
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