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How to Understand and Utilize of Enterprise Content Throurh Enterprise Search

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    A Semantic Data Platform for Context-Enabled Search,

    Discovery, & Analytics in Data-Driven Enterprises & Organizations

    In this era of big data, all enterprises and systems have huge content than ever before. There’s lot of data which isexploded, fragmented, redundant, under-utilized, inconsistent, hard to find, and hard to understand. “ The ‘Big Data’ isa Challenge and an Opportunity at the same time .”

    Organizations face the challenge of making the best possible use of their data while dealing with dynamic and changingdata and also responding to business demand for faster time to market.

    Information users, with more content and less time to analyze it, need systems that are smart and intelligent enough tointegrate the scattered content, provide quicker discovery of information and tools for thorough analysis of content.

    “At T/DG, we realize theenormous challenges and the

    possibilities associated withBig Data. Our products andtools help to integrate all yourcontent seamlessly, exploit the

    power of semantic enrichmenttransforming the content toKNOWLEDGE; thus taking youto that next level of Searchand Analytics solutions.”

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    EMPOWERING SEARCHES THROUGH3RDi SEMANTIC ENRICHMENT

    3RDi –Relevant |Deep |Insights

    “What’s differentiating one enterprise from another is the way they UNDERSTAND the CONTENTand UTILIZE it!”

    60% YEARLY GROWTH IN THEAMOUNT OF CONTENT, MOSTLYUNSTRUCTURED

    EVERY MINUTE, OVER 72 HOURSOF NEW VIDEO CONTENT ISUPLOADED TO YOUTUBE.

    EACH DAY, OVER 1 MILLION NEWBLOG POSTS ARE CREATED ONWORDPRESS.

    On one side, there is a riskaround integration andmanagement of data,while, on the other side,there are excitingpossibilities with increasedand live content.

    Access to content is notthe differential anymore -it is pretty much witheveryone.

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    HOW CAN SEMANTICS HELP?Giving meaning to content!

    “Use of semantics makes content more contextual, more discoverable, andthereby, more valuable.”

    Semantics is about computers interpreting and understanding the content at adeeper level, assisted by its meaning and context. It helps in information searchand discovery by associating additional information with the content.

    “46% Publishers ofScientific journals are

    semantically enrichingtheir content” says astudy on Journal ArticleMining by the Publishingresearch consortium.

    3RDi solves all of yourcontent enrichment,content discovery andresult analysis problems.

    Semantic Enrichment is the process of adding orassociating semantic tags – usually concepts, relationships,events and properties described in an ontology – toaugment unstructured data items.

    Enrichment frees you from manual ‘meta-data’ tagging. It identifies several interesting properties and associations ofyour content which go a long way in empowering the information search and analysis process .

    The process of semantic enrichment, integrates the content with the identified ontologies and links it to availableopen data. This adds more information to the content – referred to as Enrichment. The enriched content is indexed &stored and serves as a base for search and discovery applications.

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    SEMANTIC ENRICHMENT AND

    SEARCH WITH 3RDiDiscovery, beyond search!3RDi takes holistic view on the problem of Search, Discovery and Analysis. Itprovides comprehensive semantic enrichment of unstructured content andunlike most other products in the market, it also provides a complete SemanticSearch Solution to leverage the enrichment for Search, Discovery and Analysisapplications.

    “3RDi embodies semantic interpretation in all phases of informationretrieveal systems – content integration, search, result navigation, andsearch analytics.”

    SEMANTIC ENRICHMENT CAPABILITIES OF3RDi’s semantic and natural language processing (NLP) capabilities are built on astrong base of machine learning and look-up based algorithms, which arepre-integratred with comprehensive set of general and domain specificthesauraus & taxonomies and built on top of best-in-class tools.

    Here is what 3RDi provides for content enrichment.

    Recognizing the mentions of entities in the content and identifying theirtypes – a process called Named Entity Recognition.

    Automatic analysis of sentiment represented in the content.

    Identifying the key topics from the content and classifying the content as perthose

    Disambiguation of entities based on context in which they appear.

    Refining the entities by mapping them to standardized terms fromtaxonomies and ontologies

    Enriching content by linking it to URI’s of other open data (like DBpedia)

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    Named EntityRecognition

    SemanticSimilarity

    ContentSummarization

    SentimentAnalysis

    ContentClassification

    Ontology &LOD Mapping

    VocabularySupport

    WordNeT 3.1

    YAGO

    DBpedia 2014

    UNESCO 2.0

    EUROVOC 4.3

    UMLS Metathesaurus2015

    MeSH 2015UIMA 2.7

    cTAKES 3.2.2

    SNOMED CT 2015

    Custom and LegacyVocabularies

    SKOS-RDF, OWL

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    Domain SpecificSemantic Enrichment

    Ready support forBio-Medical, Legal,Education andPublishing domains.

    LOD Linking

    Thesauri and customVocabulary Support

    “Semantic Searchmatches itemsintelligently acrossunstructured data byenriching data withsemantic informationduring indexing.”

    SEMANTIC ANALYSIS PROCESS IN 3RDiSemantic analysis, within 3RDi, is split into several stages. In each stage, thesystem uses fast and superior algorithms that result in comprehensiveenrichment and faster integration of content.

    3RDi SEMANTIC SEARCH EXPERIENCESemantic search tries to understand what a user is asking in a query byplacing it in context through analysis of the query’s terms and language. Itproduces meaningful results, even though the retrieved items contain noneof the query terms, or the search involves no query text at all. Further,instead of only returning a set of results, semantic search addresses the userinformation need more directly with aids like semantic facets, resultsclustering etc.

    Semantic Analysis Process in 3RDi

    Tokenization : splitting a text into individualsentences and words.

    Morphological analysis, stemming :recognizing when two different word formscome from the same root word.

    Grammatical analysis, part-of-speechtagging : labeling when a word is used as anoun, verb, adjective, adverb, etc.

    Word sense disambiguation : is "crane" in agiven text a type of bird or a type of machine.

    Vocabulary, ontology mapping : does“crane” have synonyms or “crane” belongs toclass of “construction automobile”

    Linked Open Data : map to Wikipedia,DBpedia and link to useful information about,say, manufacturers of “crane”

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    3RDi’s Semantic Search makes the information retrieval process moreefficient. A range of tools, like automatic facets, concept search, taxonomybrowsing, clustering etc., help the user skim through the content quickly andeasily locate the desired information

    Ontology navigation : With an easy to use graphical interface, you cannavigate through the taxonomy (or ontology), and select any combination ofconcepts you wish to explore. You can search content that relate to theseconcepts and also broaden or target your search by including or excludingsynonyms, hyponyms and related terms.

    Semantic Cloud : Gain a quick insight into the content using the semanticcloud which sums up your content at a stretch.

    Knowledge Graph : Without having to read the content at all, you can getan insight into it using the graphical representation of the entities and their

    interrelations as contained in the text.

    Semantic Facets : You can drill down on the search results using dynamicallycreated business-centric navigational facets.

    Concept Search : You can search for documents that relate conceptually tothe query word even when the query word does not exist anywhere in thecontent.

    Result Clustering : Automatic grouping of search results depending on theircontent help you discover information faster.

    Similar Documents

    Related Recommendation

    Concept Search

    Knowledge Graph

    Sentiment

    Clustering

    Semantic Cloud

    3RDi provides a powerful way of

    finding, discoveringand analyzinginformation.

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    www.thedigitalgroup.com SOLUTIONS | SERVICES | OUTSOURCING

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    3 R D i H e a l t h c a r e E d i t i o n‘3RDi Healthcare Edition’ is customized and optimized to cater to their specific needs of researches in biomedicalarea. The tool is integrated with the most trusted healthcare terminology and ontologies that include UMLS, Mesh,ICD, SNOMED CT etc. Though the specialized Bio Medical entity extraction – including difficult to identify ‘Diseases’,‘Chemicals’, ‘Drugs’, ‘Equipment’, ‘Anatomy’ and ‘Procedures’ - and the rich semantic analysis of the results, 3RDifosters improved bio-medical research and helps healthcare professionals with evidence based medicine.

    F o r M e d i c a l R e s e a r c h e r s F o r H e a l t h c a r e P r a c t i t i o n e r s

    Diagnose Quickly & Correctly

    Confront Observations with Authori -tative Knowledge & Facts

    Visuals

    Comprehensive

    Critical

    Identify Scientic PublicationsRelevant to my research area…

    Protect Against Infringement

    Find insights

    Biological Pathways

    Disease Mechanisms

    New targets/leads/markers

    Drug Side Effects

    New uses for existing drugs

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    The Digital Group Inc.121 Village Boulevard Princeton ForrestalVillage, PrincetonNJ 08540 USA

    Phone: +1.609.524.2441Fax: +1.609.228.4844Email: [email protected]

    About us

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    DisclaimerAll information contained in this document is an exclusive property of The Digital Group Infotech Pvt. Ltd. (T/DG). The infromation contained here is correct and up to date at the time of publishing.from here may be copied, modified, reproduced, republished, uploaded, transmitted, posted or distributed in any form without prior written permission from T/DG. Unauthorized use of the content /information may result in violation of copyright, trademark, and other applicable laws, and could result in criminal or civil penalties

    Headquartered in Princeton, New Jersey, The Digital Group was incorporated in1999. Today The Digital Group (T/DG) is the leading provider of a broad range ofInformation Technology services. With offices in US, India, Australia, Fiji and SriLanka T/DG provides support from the conceptualization phase, leading todevelopment and operations. The team have been consistently delivering industryleading solutions to its valued customers for over 15+ years.

    The Digital Group is a certified SEI-CMMi Level 5 for Development (DEV) and CMMiLevel 3 for Services (SVC) version 1.3 along with certifications in ISO 9001:2008, ISO20000-1:2011, ISO 27001:2013 and SSAE 16, Type II.

    More InformationVisit the http://www.thedigitalgroup.com/3RDi to understand more about 3RDI - T/DG’s Enterprise Semantic Search,Discovery and Analytics Platform.

    http://blog.thedigitalgroup.com/https://www.linkedin.com/company/the-digital-group-inchttps://plus.google.com/+thedigitalgroupinc/postshttps://twitter.com/thedigtalgrouphttps://www.facebook.com/thedigitalgroupinc

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