WEB PAGE CONTENTS VERIFICATION AGAINST TAGS USING DATA MINING TOOL IKNOW VІI scientific and practical seminar with international participation "Economic.

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WEB PAGE CONTENTS VERIFICATION AGAINST TAGS USING DATA MINING TOOL IKNOW VІI scientific and practical seminar with international participation "Economic security of the state and scientific and technological aspects of its provision" October 21-22, 2015, Kyiv, Ukraine National Technical University of Ukraine “Kyiv Polytechnic Institute” Heat and Power Engineering Department Automation of Design of Energy Processes and Systems Presented by Andrii Rak 4 th grade student, group TI-21 Academic adviser I. Mykhailova

PURPOSE OF THE APPLICATION Meta Keywords are a specific type of meta tag that appears in the HTML code of a Web page and helps tell search engines what the topic of the page is. The most important thing to keep in mind when selecting meta keywords is to be sure that each keyword accurately reflects the content of your pages. Sometimes keywords don’t correspond with the contents. This application tells if it is so. VІI scientific and practical seminar with international participation "Economic security of the state and scientific and technological aspects of its provision" Oct , 2015, Kyiv, Ukraine 2

WHAT IS IKNOW? iKnow is a generic text analysis technology Domain-independent Multi-purpose Multi-lingual Built into the core if DBMS Caché iKnow enables applications to analyze unstructured data Core functionality Identifies meaningful word groups (“entities”) in sentences based on semantics Entities and their context are the basis of all further analysis, such as: Queries within or across bodies of text Relevance calculations and summarization Matching against existing knowledge VІI scientific and practical seminar with international participation "Economic security of the state and scientific and technological aspects of its provision" Oct , 2015, Kyiv, Ukraine 3

IKNOW SERVICES Smart indexing analyzes and transforms unstructured text into an understandable network of relationships and concepts without any need for pre-defined dictionaries, taxonomies, or ontologies. Smart indexing provides insight into what’s relevant, what’s related, and what’s representative within large volumes of unstructured text, without needing input of a search term. Smart indexing works with a number of different languages. It can also identify concepts (recurring patterns) within unstructured data that is not traditional text. Smart interpretation applies analytics and/or business rules to the results derived from smart indexing and smart matching. Smart matching links the results of smart indexing to existing knowledge specific to a domain, organization, or industry. Matching is based on meaningful concepts and their combinations, not just words, and includes exact, partial, and “scattered” matches. VІI scientific and practical seminar with international participation "Economic security of the state and scientific and technological aspects of its provision" Oct , 2015, Kyiv, Ukraine 4

SMART INDEXES VІI scientific and practical seminar with international participation "Economic security of the state and scientific and technological aspects of its provision" Oct , 2015, Kyiv, Ukraine 5

TEXT ANALYSIS Classic approachiKnow approach VІI scientific and practical seminar with international participation "Economic security of the state and scientific and technological aspects of its provision" Oct , 2015, Kyiv, Ukraine 6

TEXT ANALYSIS Classic approachiKnow approach VІI scientific and practical seminar with international participation "Economic security of the state and scientific and technological aspects of its provision" Oct , 2015, Kyiv, Ukraine 7

SMART MATCHING Matches the outcome of Smart Indexing with a dictionary supplied by user It is based on concepts, not just words Different match types For example: “stately old house” Matching conceptMatch type Stately old houseExact match Stately old country housePartial match Old stately houseExact scattered match Old stately country housePartial scattered match VІI scientific and practical seminar with international participation "Economic security of the state and scientific and technological aspects of its provision" Oct , 2015, Kyiv, Ukraine 8

SMART INTERPRETATION Allows to use the outcome of Smart Matching for further processing Based on a context Compliance Score between a user defined rule and the Smart Matching Rule For example: Context: Local newspaper Rule: If (text contains “Bond Street” && “Trafalgar Square”) publish at page 3 VІI scientific and practical seminar with international participation "Economic security of the state and scientific and technological aspects of its provision" Oct , 2015, Kyiv, Ukraine 9

IMPLEMENTATION OF IKNOW VІI scientific and practical seminar with international participation "Economic security of the state and scientific and technological aspects of its provision" Oct , 2015, Kyiv, Ukraine 10

SOURCES all-the-data making-sense-of-unstructured-data VІI scientific and practical seminar with international participation "Economic security of the state and scientific and technological aspects of its provision" Oct , 2015, Kyiv, Ukraine 11

THANK YOU FOR YOUR ATTENTION! VІI scientific and practical seminar with international participation "Economic security of the state and scientific and technological aspects of its provision" Oct , 2015, Kyiv, Ukraine 12