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Relationship Extraction
A relationship extraction task requires the detection and classification of semantic relationship mentions within a set of artifacts, typically from text or XML documents. The task is very similar to that of information extraction (IE), but IE additionally requires the removal of repeated relations (other) and generally refers to the extraction of many different relationships. Concept and applications The concept of relationship extraction was first introduced during the 7th Message Understanding Conference in 1998. Relationship extraction involves the identification of relations between entities and it usually focuses on the extraction of binary relations. Application domains where relationship extraction is useful include gene-disease relationships, protein-protein interaction etc. Current relationship extraction studies use machine learning technologies, which approach relationship extraction as a classification problem. Never-Ending Language Learning is a semantic m ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Semantic Similarity
Semantic similarity is a metric defined over a set of documents or terms, where the idea of distance between items is based on the likeness of their meaning or semantic content as opposed to lexicographical similarity. These are mathematical tools used to estimate the strength of the semantic relationship between units of language, concepts or instances, through a numerical description obtained according to the comparison of information supporting their meaning or describing their nature. The term semantic similarity is often confused with semantic relatedness. Semantic relatedness includes any relation between two terms, while semantic similarity only includes "is a" relations. For example, "car" is similar to "bus", but is also related to "road" and "driving". Computationally, semantic similarity can be estimated by defining a topological similarity, by using ontologies to define the distance between terms/concepts. For example, a naive metric for the comparison of concepts ord ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Gene Ontology
The Gene Ontology (GO) is a major bioinformatics initiative to unify the representation of gene and gene product attributes across all species. More specifically, the project aims to: 1) maintain and develop its controlled vocabulary of gene and gene product attributes; 2) annotate genes and gene products, and assimilate and disseminate annotation data; and 3) provide tools for easy access to all aspects of the data provided by the project, and to enable functional interpretation of experimental data using the GO, for example via enrichment analysis. GO is part of a larger classification effort, the Open Biomedical Ontologies, being one of the Initial Candidate Members of the OBO Foundry. Whereas gene nomenclature focuses on gene and gene products, the Gene Ontology focuses on the function of the genes and gene products. The GO also extends the effort by using a markup language to make the data (not only of the genes and their products but also of curated attributes) machine ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Business Intelligence 2
Business is the practice of making one's living or making money by producing or buying and selling products (such as goods and services). It is also "any activity or enterprise entered into for profit." A business entity is not necessarily separate from the owner and the creditors can hold the owner liable for debts the business has acquired except for limited liability company. The taxation system for businesses is different from that of the corporates. A business structure does not allow for corporate tax rates. The proprietor is personally taxed on all income from the business. A distinction is made in law and public offices between the term business and a company (such as a corporation or cooperative). Colloquially, the terms are used interchangeably. Corporations are distinct from sole proprietors and partnerships. Corporations are separate and unique legal entities from their shareholders; as such they provide limited liability for their owners and members. Corpora ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Semantic Role Labeling
In natural language processing, semantic role labeling (also called shallow semantic parsing or slot-filling) is the process that assigns labels to words or phrases in a sentence that indicates their semantic role in the sentence, such as that of an agent, goal, or result. It serves to find the meaning of the sentence. To do this, it detects the arguments associated with the predicate or verb of a sentence and how they are classified into their specific roles. A common example is the sentence "Mary sold the book to John." The agent is "Mary," the predicate is "sold" (or rather, "to sell,") the theme is "the book," and the recipient is "John." Another example is how "the book belongs to me" would need two labels such as "possessed" and "possessor" and "the book was sold to John" would need two other labels such as theme and recipient, despite these two clauses being similar to "subject" and "object" functions. History In 1968, the first idea for semantic role labeling was prop ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Semantic Analytics
Semantic analytics, also termed ''semantic relatedness'', is the use of ontologies to analyze content in web resources. This field of research combines text analytics and Semantic Web technologies like RDF. Semantic analytics measures the relatedness of different ontological concepts. Some academic research groups that have active project in this area include Kno.e.sis Center at Wright State University among others. History An important milestone in the beginning of semantic analytics occurred in 1996, although the historical progression of these algorithms is largely subjective. In his seminal study publication, Philip Resnik established that computers have the capacity to emulate human judgement. Spanning the publications of multiple journals, improvements to the accuracy of general semantic analytic computations all claimed to revolutionize the field. However, the lack of a standard terminology throughout the late 1990s was the cause of much miscommunication. This prompted Bu ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Text Analytics
Text mining, text data mining (TDM) or text analytics is the process of deriving high-quality information from plain text, 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 pattern recognition, 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 qu ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
English Wikipedia
The English Wikipedia is the primary English-language edition of Wikipedia, an online encyclopedia. It was created by Jimmy Wales and Larry Sanger on 15 January 2001, as Wikipedia's first edition. English Wikipedia is hosted alongside other language editions by the Wikimedia Foundation, an American nonprofit organization. Its content, written independently of other editions by volunteer editors known as Wikipedians, is in various varieties of English while aiming to stay consistent within articles. Its internal newspaper is '' The Signpost''. English Wikipedia is the most read version of Wikipedia, accounting for 48% of Wikipedia's cumulative traffic, with the remaining percentage split among the other languages. The English Wikipedia has the most articles of any edition, at as of . It contains of articles in all Wikipedias, although it lacks millions of articles found in other editions. The edition's one-billionth edit was made on 13 January 2021. English Wikip ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Wikidata
Wikidata is a collaboratively edited multilingual knowledge graph hosted by the Wikimedia Foundation. It is a common source of open data that Wikimedia projects such as Wikipedia, and anyone else, are able to use under the CC0 public domain license. Wikidata is a wiki powered by the software MediaWiki, including its extension for semi-structured data, the Wikibase. As of early 2025, Wikidata had 1.65 billion item statements ( semantic triples). Concept Wikidata is a document-oriented database, focusing on ''items'', which represent any kind of topic, concept, or object. Each item is allocated a unique persistent identifier called its ''QID'', a positive integer prefixed with the upper-case letter "Q". This makes it possible to provide translations of the basic information describing the topic each item covers without favouring any particular language. Some examples of items and their QIDs are , , , , and . Item ''labels'' do not need to be unique. For example, th ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Vietnamese Language
Vietnamese () is an Austroasiatic languages, Austroasiatic language Speech, spoken primarily in Vietnam where it is the official language. It belongs to the Vietic languages, Vietic subgroup of the Austroasiatic language family. Vietnamese is spoken natively by around 86 million people, and as a second language by 11 million people, several times as many as the rest of the Austroasiatic family combined. It is the native language of Vietnamese people, ethnic Vietnamese (Kinh), as well as the second language, second or First language, first language for List of ethnic groups in Vietnam, other ethnicities of Vietnam, and used by Overseas Vietnamese, Vietnamese diaspora in the world. Like many languages in Southeast Asia and East Asia, Vietnamese is highly analytic language, analytic and is tone (linguistics), tonal. It has head-initial directionality, with subject–verb–object order and modifiers following the words they modify. It also uses noun classifier (linguistics), classi ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Russian Language
Russian is an East Slavic languages, East Slavic language belonging to the Balto-Slavic languages, Balto-Slavic branch of the Indo-European languages, Indo-European language family. It is one of the four extant East Slavic languages, and is the native language of the Russians. It was the ''de facto'' and ''de jure'' De facto#National languages, official language of the former Soviet Union.1977 Soviet Constitution, Constitution and Fundamental Law of the Union of Soviet Socialist Republics, 1977: Section II, Chapter 6, Article 36 Russian has remained an official language of the Russia, Russian Federation, Belarus, Kazakhstan, Kyrgyzstan, and Tajikistan, and is still commonly used as a lingua franca in Ukraine, Moldova, the Caucasus, Central Asia, and to a lesser extent in the Baltic states and Russian language in Israel, Israel. Russian has over 253 million total speakers worldwide. It is the List of languages by number of speakers in Europe, most spoken native language in Eur ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
