ENTITY LINKING IN QUERIES FOR ENTERPRISE SEARCH ENGINES

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Esmaiely fard Nariman; Haj khan Mirzaye sarraf Malikeh; Neshati Mahmood

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Seminar Paper

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Seminar: INTERNATIONAL CONFERENCE ON WEB RESEARCH
Year:2019 | Issue:5

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Title

ENTITY LINKING IN QUERIES FOR ENTERPRISE SEARCH ENGINES

Author(s)

Esmaiely fard Nariman | Haj khan Mirzaye sarraf Malikeh | Neshati Mahmood

Keywords

ENTERPRISE SEARCH ENGINES

ENTITY LINKING

ENTITY-ORIENTED SEARCH

Abstract

MANY STUDIES HAVE SHOWN THAT POOR QUALITY SEARCH WITHIN ENTERPRISES CAUSED SIGNIFICANT ECONOMIC PENALTIES. ONE OF THE MAIN REASONS FOR POOR QUALITY OF ENTERPRISE SEARCH ENGINES IS THAT MOST OF THEM USE THE BAG-OF-WORDS MODEL, WHICH CONSIDERS THE FREQUENCY OF WORDS BUT DISREGARDS THEIR ORDER. FOR SATISFYING USERS INFORMATION NEEDS, SEARCH ENGINES NEED TO UNDERSTAND THE UNDERLYING MEANING OF THE QUERY. THUS WE NEED MORE COMPLEX RETRIEVAL MODELS THAN BAG-OF-WORDS. ACCORDING TO VARIOUS STUDIES, MOST OF THE QUERIES IN SEARCH ENGINES MENTION OR TARGET SPECIFIC ENTITIES. BEING ABLE TO IDENTIFY ENTITIES IN USER QUERIES IS A KEY STEP TOWARDS UNDERSTANDING USERS INFORMATION NEEDS AND IS A MAJOR HELP TOWARDS RETRIEVING RELEVANT DOCUMENTS. LEVERAGING ENTITIES IN DOCUMENT RETRIEVAL HAVE BEEN USED FOR MANY YEARS TO IMPROVE RESULTS IN WEB SEARCH ENGINES, BUT THERE ARE FEW STUDIES THAT USE THESE TECHNIQUES IN ENTERPRISE SEARCH. THAT ASIDE, MANY OF THESE STUDIES SUFFER FROM LOW EFFICIENCY. THIS STUDY REPRESENTS AN ENTITY LINKING APPROACH WHICH IS CUSTOMIZED FOR ENTERPRISE SEARCH. EVALUATIONS SHOW THAT IN ADDITION TO HIGH PRECISION, OUR APPROACH ALSO HAS HIGH EFFICIENCY.

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APA: Copy

Esmaiely fard, Nariman, Haj khan Mirzaye sarraf, Malikeh, & Neshati, Mahmood. (2019). ENTITY LINKING IN QUERIES FOR ENTERPRISE SEARCH ENGINES. INTERNATIONAL CONFERENCE ON WEB RESEARCH. SID. https://sid.ir/paper/949111/en

Vancouver: Copy

Esmaiely fard Nariman, Haj khan Mirzaye sarraf Malikeh, Neshati Mahmood. ENTITY LINKING IN QUERIES FOR ENTERPRISE SEARCH ENGINES. 2019. Available from: https://sid.ir/paper/949111/en

IEEE: Copy

Nariman Esmaiely fard, Malikeh Haj khan Mirzaye sarraf, and Mahmood Neshati, “ENTITY LINKING IN QUERIES FOR ENTERPRISE SEARCH ENGINES,” presented at the INTERNATIONAL CONFERENCE ON WEB RESEARCH. 2019, [Online]. Available: https://sid.ir/paper/949111/en

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