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Name Resolution (semantics And Text Extraction)
In semantics and text extraction, name resolution refers to the ability of text mining software to determine which actual person, actor, or object a particular use of a name refers to. It can also be referred to as entity resolution. Name resolution in simple text For example, in the text mining field, software frequently needs to interpret the following text: John gave Edward the book. He then stood up and called to John to come back into the room. In these sentences, the software must determine whether the pronoun "he" refers to "John", or "Edward" from the first sentence. The software must also determine whether the "John" referred to in the second sentence is the same as the "John" in the first sentence, or a third person whose name also happens to be "John". Such examples apply to almost all languages, and not only English. Name resolution across documents Frequently, this type of name resolution is also used across documents, for example to determine whether the "George ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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Text Mining
Text mining, text data mining (TDM) or text analytics is the process of deriving high-quality information from text. It involves "the discovery by computer of new, previously unknown information, by automatically extracting information from different written resources." Written resources may include websites, books, emails, reviews, and articles. High-quality information is typically obtained by devising patterns and trends by means such as statistical pattern learning. According to Hotho et al. (2005), there are three perspectives of text mining: information extraction, data mining, and knowledge discovery in databases (KDD). Text mining usually involves the process of structuring the input text (usually parsing, along with the addition of some derived linguistic features and the removal of others, and subsequent insertion into a database), deriving patterns within the structured data, and finally evaluation and interpretation of the output. 'High quality' in text mining usually ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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Knowledge Graph
In knowledge representation and reasoning, a knowledge graph is a knowledge base that uses a Graph (discrete mathematics), graph-structured data model or topology to represent and operate on data. Knowledge graphs are often used to store interlinked descriptions of Named entity, entities objects, events, situations or abstract concepts while also encoding the free-form semantics or relationships underlying these entities. Since the development of the Semantic Web, knowledge graphs have often been associated with linked data, linked open data projects, focusing on the connections between concepts and entities. They are also historically associated with and used by search engines such as Google Knowledge Graph, Google, Bing (search engine), Bing, Yext and Yahoo; Knowledge Engine (Wikimedia Foundation), knowledge-engines and question-answering services such as WolframAlpha, Apple's Siri, and Amazon Amazon Alexa, Alexa; and social networks such as LinkedIn and Facebook. Recent deve ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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Anaphora (linguistics)
In linguistics, anaphora () is the use of an expression whose interpretation depends upon another expression in context (its antecedent). In a narrower sense, anaphora is the use of an expression that depends specifically upon an antecedent expression and thus is contrasted with cataphora, which is the use of an expression that depends upon a postcedent expression. The anaphoric (referring) term is called an anaphor. For example, in the sentence ''Sally arrived, but nobody saw her'', the pronoun ''her'' is an anaphor, referring back to the antecedent ''Sally''. In the sentence ''Before her arrival, nobody saw Sally'', the pronoun ''her'' refers forward to the postcedent ''Sally'', so ''her'' is now a ''cataphor'' (and an anaphor in the broader, but not the narrower, sense). Usually, an anaphoric expression is a pro-form or some other kind of deictic (contextually dependent) expression. Both anaphora and cataphora are species of endophora, referring to something mentioned elsew ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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Naming Collision
A naming collision is a circumstance where two or more identifiers in a given namespace or a given scope cannot be unambiguously resolved, and such unambiguous resolution is a requirement of the underlying system. Example: XML element names In XML, element names can be originated and changed to reflect the type of information contained in the document. This level of flexibility may cause problems if separate documents encode different kinds of information, but use the same identifiers for the element names. For example, the following sample document defines the basic semantics for a "person" document and a "book" document. Both of these use a "title" element, but the meaning is not the same: Nancy Davolio Dr. 29 Harry Potter And The Cursed Child ABCD1234567 For an application to allow a user to correctly query for and retrieve the "title" element, it must provide a way to unambiguously specify ''which' ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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Named Entity Recognition
Named-entity recognition (NER) (also known as (named) entity identification, entity chunking, and entity extraction) is a subtask of information extraction that seeks to locate and classify named entities mentioned in unstructured text into pre-defined categories such as person names (PER), organizations (ORG), locations (LOC), geopolitical entities (GPE), vehicles (VEH), medical codes, time expressions, quantities, monetary values, percentages, etc. Most research on NER/NEE systems has been structured as taking an unannotated block of text, such as transducing: into an annotated block of text that highlights the names of entities: In this example, a person name consisting of one token, a two-token company name and a temporal expression have been detected and classified. Problem Definition In the expression '' named entity'', the word ''named'' restricts the task to those entities for which one or many strings, such as words or phrases, stand (fairly) consistently ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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Identity Resolution
Record linkage (also known as data matching, data linkage, entity resolution, and many other terms) is the task of finding records in a data set that refer to the same entity across different data sources (e.g., data files, books, websites, and databases). Record linkage is necessary when joining different data sets based on entities that may or may not share a common identifier (e.g., database key, URI, National identification number), which may be due to differences in record shape, storage location, or curator style or preference. A data set that has undergone RL-oriented reconciliation may be referred to as being ''cross-linked''. Naming conventions "Record linkage" is the term used by statisticians, epidemiologists, and historians, among others, to describe the process of joining records from one data source with another that describe the same entity. However, many other terms are used for this process. Unfortunately, this profusion of terminology has led to few cross-re ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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NetOwl
NetOwl is a suite of multilingual text and identity analytics products that analyze big data in the form of text data – reports, web, social media, etc. – as well as structured entity data about people, organizations, places, and things. NetOwl utilizes artificial intelligence (AI)-based approaches, including natural language processing (NLP), machine learning (ML), and computational linguistics, to extract entities, relationships, and events; to perform sentiment analysis; to assign latitude/longitude to geographical references in text; to translate names written in foreign languages; and to perform name matching and identity resolution."SRA International." Washington Post. Retrieved 2013-07-02.Zelenko, ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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DBpedia Spotlight
DBpedia (from "DB" for "database") is a project aiming to extract structured content from the information created in the Wikipedia project. This structured information is made available on the World Wide Web using OpenLink Virtuoso. DBpedia allows users to semantically query relationships and properties of Wikipedia resources, including links to other related datasets. The project was heralded as "one of the more famous pieces" of the decentralized Linked Data effort by Tim Berners-Lee, one of the Web's pioneers. As of June 2021, DBPedia contained over 850 million triples. Background The project was started by people at the Free University of Berlin and Leipzig University''DBpedia: A Nucleus for a Web of Open Data'', available a in collaboration with OpenLink Software, and is now maintained by people at the University of Mannheim and Leipzig University. The first publicly available dataset was published in 2007. The data is made available under free licenses (CC BY-SA), all ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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Basis Technology Corp
Basis is a term used in mathematics, finance, science, and other contexts to refer to foundational concepts, valuation measures, or organizational names; here, it may refer to: Finance and accounting * Adjusted basis, the net cost of an asset after adjusting for various tax-related items * Basis point, 0.01%, often used in the context of interest rates * Basis swap, an interest rate swap * Cost basis, in income tax law, the original cost of property adjusted for factors such as depreciation * Tax basis, cost of an asset Securities markets and trading strategies * Basis trading, a trading strategy consisting of the purchase of a security and the sale of a similar security Fixed income markets: * Treasury basis trade, a leveraged arbitrage strategy exploiting price differences between Treasury securities and futures contracts * Index arbitrage, a strategy that exploits price differences between a stock index and its futures contract Commodities and physical assets: * Commo ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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Record Linkage
Record linkage (also known as data matching, data linkage, entity resolution, and many other terms) is the task of finding records in a data set that refer to the same entity across different data sources (e.g., data files, books, websites, and databases). Record linkage is necessary when joining different data sets based on entities that may or may not share a common identifier (e.g., database key, URI, National identification number), which may be due to differences in record shape, storage location, or curator style or preference. A data set that has undergone RL-oriented reconciliation may be referred to as being ''cross-linked''. Naming conventions "Record linkage" is the term used by statisticians, epidemiologists, and historians, among others, to describe the process of joining records from one data source with another that describe the same entity. However, many other terms are used for this process. Unfortunately, this profusion of terminology has led to few cross- ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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Autonomy Corporation
Autonomy Corporation PLC was an enterprise software company founded in Cambridge, United Kingdom in 1996. The company developed and sold a variety of enterprise software, including for big data analytics, information governance, data protection, and digital marketing. Autonomy was acquired by Hewlett-Packard (HP) in October 2011, renaming it HP Autonomy. The deal valued Autonomy at $11.7 billion (£7.4 billion). Within a year, HP had written off $8.8 billion of Autonomy's value. HP claimed this resulted from "serious accounting improprieties" and "outright misrepresentations" by the previous management. The former CEO, Mike Lynch, said that the problems were due to HP's running of Autonomy. HP recruited Robert Youngjohns, ex-Microsoft president of North America, to take over HP Autonomy in September 2012. In 2015, HP was split into HP Inc and Hewlett Packard Enterprise (HPE); HP Autonomy assets were divided between them with HPE taking the larger part. HP Inc later sold its A ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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Attensity
Attensity provides social analytics and engagement applications for social customer relationship management ( social CRM). Attensity's text analytics software applications extract facts, relationships and sentiment from unstructured data, which comprise approximately 85% of the information companies store electronically. History Attensity was founded in 2000. An early investor in Attensity was In-Q-Tel, which funds technology to support the missions of the US Government and the broader DOD. InTTENSITY, an independent company that has combined Inxight with Attensity Software (the only joint development project that combines two InQTel funded software packages), is the exclusive distributor and outlet for Attensity in the Federal Market. In 2009, Attensity Corp., then based in Palo Alto, merged with Germany's Empolis and Living-e AG to form Attensity Group. In 2010, Attensity Group acquired Biz360, Inc., a provider of social media monitoring and market intelligence solutions. In ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |